The specter of ransomware and information theft continues to evolve. Adversaries are more and more exploiting unpatched network-edge units, and credential theft and social engineering strategies can flip on a regular basis instruments into assault vectors.
That makes sensible, prioritized protection matter greater than ever.
That’s why Cybersecurity Consciousness Month is necessary throughout the globe. It permits on a regular basis customers to refocus their cybersecurity objectives. This yr, the Nationwide Cybersecurity Alliance’s Cybersecurity Consciousness Month theme is “Keep Protected On-line,” specializing in accessible habits anybody can take to spice up on-line security — small steps that compound into significant threat discount for people, households, and companies.
In that very same vein, we wished to share 10 fast ideas that anybody can implement right now to spice up their cybersecurity posture and keep protected on-line. Use this quick guidelines as a launchpad: undertake the fundamentals persistently, strengthen the controls that matter most, and construct routines that maintain these protections present and efficient.
Face scans and fingerprints are safer Use options like Face ID or fingerprints to unlock your units every time potential. Biometrics are more durable to steal than passcodes, and units encrypt this information, so it doesn’t go away your telephone and may’t be reused or phished. It’s a easy improve that makes breaking in quite a bit more durable.
Stick with trusted app shops Apps from unofficial sources, similar to sketchy web sites or unofficial shops, can disguise malware and steal your information. Stick with the trusted sources just like the Apple App Retailer, Microsoft Retailer or Google Play — they scan for dangerous content material and have safety and privateness requirements that may establish malicious exercise. If an app isn’t listed there, solely obtain the app from the developer’s official web site or use the online model as an alternative.
Embrace well mannered paranoia Cybercriminals use urgency to make you act earlier than you assume — like a faux “financial institution” name warning your account is frozen. Safety professional Rachel Tobac calls the correct response “well mannered paranoia:” keep calm, keep variety, however confirm. Trusted establishments won’t ever ask for delicate information over the telephone or textual content. If one thing feels off, management the channel — cling up and name the official quantity as an alternative. A second of well mannered skepticism can cease an assault earlier than it begins.
Again up your information Whereas ransomware teams have a tendency to focus on companies that may pay huge, people should not off the hook. You probably have delicate, necessary information, again them up — recurrently and securely. Use a trusted cloud service or a detachable storage system you possibly can disconnect when the backup completes. The aim isn’t simply to get well information, it’s to take away “paying the ransom” out of your listing of choices completely.
Set up the replace Don’t swipe away these replace reminders. They’re not nearly new emojis or fancy options — they repair severe safety holes that hackers love to use. Exploited vulnerabilities are the No. 1 preliminary an infection vector for ransomware in our annual State of Ransomware report. So, when your telephone, laptop, sensible speaker, recreation console — something linked to the web — asks for an replace, say sure.
Watch out for AI-generated “deepfake” movies or phony superstar endorsements With the rise of AI-generated video, dangerous actors are utilizing superstar deepfakes to unfold faux information, “endorse” alleged giveaways and merchandise, and in any other case sow chaos on the web. Over the previous yr, there was a spike within the variety of deepfake movies popping up on customers’ social media feeds, a lot of them AI-generated utilizing superstar likenesses. In a single case, musicians Taylor Swift and Selena Gomez appeared to be endorsing Le Creuset cookware, which ultimately pointed focused customers to a rip-off. One other featured comic and recreation present host Steve Harvey urging Americans to say a “free” prize of $6,400. The standard of right now’s deepfake movies can trick even the savviest of web customers, however there are nonetheless a number of apparent giveaways to deepfakes, in line with the MIT Media Lab, when you can spot them, together with the quantity of blinking the video topic does or doesn’t do, or if shadows seem accurately.
Pause earlier than you submit Assume twice earlier than sharing private particulars on-line. Cybercriminals can use even harmless bits of knowledge — like your first automobile, your pet’s identify or the place you grew up — to guess passwords and reply safety questions. These “enjoyable” quizzes and cute surveys? They are often information traps in disguise. Earlier than you click on, submit or reply – ask your self: might this assist somebody faux to be me? If the reply is sure, maintain it personal.
Use a password supervisor Cease juggling dozens of passwords – or worse, maintain utilizing the identical one in every single place. A password supervisor routinely generates and shops advanced, distinctive passwords for every account you utilize, locked safely behind one sturdy major password, passkey, and/or multi-factor authentication (MFA). Free or paid, these instruments are far safer than ‘Password123’.
Don’t take the bait All of us have seen these texts or emails providing free Amazon present card or PlayStation 5 if they simply crammed out a “fast survey” or name this quantity to offer some private data. Ignore the hyperlink, delete the message, and transfer on. Your instincts are normally proper. And if it sounds too good to be true, it undoubtedly is.
Transfer to a extra phishing-resistant multi-factor authentication Use multi-factor authentication (MFA) every time potential however transcend the standard apps and textual content message codes that you simply consider. Ideally, customers must be utilizing passkeys or a {hardware} token, that are each extra immune to phishing makes an attempt that may be little greater than a pace bump these dates for motivated adversaries. A passkey is a safe, password-free login methodology that makes use of cryptographic keys to authenticate your identification, making it simpler to make use of and much more immune to phishing and hacking than conventional passwords. Alternatively, a {hardware} safety key is a bodily system used for safe login that acts as a second issue of authentication, providing sturdy safety in opposition to phishing and unauthorized entry by requiring customers to faucet or insert the important thing to confirm their identification.
Taking a prevention-first strategy to cybersecurity, like most of the ideas on this weblog submit, is the primary and finest technique to stop cyberattacks in opposition to any particular person or enterprise. When you’re trying to stage up your cybersecurity recreation, go to sophos.com/prevention.
Amazon SageMaker gives a complete hub that integrates knowledge, analytics, and AI capabilities, offering a unified expertise for customers to entry and work with their knowledge. By Amazon SageMaker Unified Studio, a single and unified atmosphere, you should use a variety of instruments and options to help your knowledge and AI improvement wants, together with knowledge processing, SQL analytics, mannequin improvement, coaching, inference, and generative AI improvement. This providing is additional enhanced by the mixing of Amazon Q and Amazon SageMaker Catalog, which offer an embedded generative AI and governance expertise, serving to customers work effectively and successfully throughout your entire knowledge and AI lifecycle, from knowledge preparation to mannequin deployment and monitoring.
With the SageMaker Catalog knowledge lineage function, you may visually monitor and perceive the move of your knowledge throughout completely different methods and groups, gaining an entire image of your knowledge property and the way they’re related. As an OpenLineage-compatible function, it helps you hint knowledge origins, monitor transformations, and think about cross-organizational knowledge consumption, providing you with insights into cataloged property, subscribers, and exterior actions. By capturing lineage occasions from OpenLineage-enabled methods or via APIs, you may achieve a deeper understanding of your knowledge’s journey, together with actions inside SageMaker Catalog and past, in the end driving higher knowledge governance, high quality, and collaboration throughout your group.
Moreover, the SageMaker Catalog knowledge lineage function variations every occasion, so you may monitor adjustments, visualize historic lineage, and examine transformations over time. This gives precious insights into knowledge evolution, facilitating troubleshooting, auditing, and knowledge integrity by exhibiting precisely how knowledge property have developed, and generates belief in knowledge.
On this submit, we focus on the visualization of knowledge lineage in SageMaker Catalog and the way seize lineage from completely different AWS analytics providers corresponding to AWS Glue, Amazon Redshift, and Amazon EMR Serverless robotically, and visualize it with SageMaker Unified Studio.
Answer overview
The era of knowledge lineage in SageMaker Catalog operates via an automatic system that captures metadata and relationships between completely different knowledge artifacts for AWS Glue, Amazon EMR, and Amazon Redshift. When knowledge strikes via numerous AWS providers, SageMaker robotically tracks these actions, transformations, and dependencies, creating an in depth map of the info’s journey. This monitoring consists of details about knowledge sources, transformations, processing steps, and ultimate outputs, offering an entire audit path of knowledge motion and transformation.
The implementation of knowledge lineage in SageMaker Catalog gives a number of key advantages:
Compliance and audit help – Organizations can exhibit compliance with regulatory necessities by exhibiting full knowledge provenance and transformation historical past
Impression evaluation – Groups can assess the potential affect of adjustments to knowledge sources or transformations by understanding dependencies and relationships within the knowledge pipeline
Troubleshooting and debugging – When points come up, the lineage system helps determine the basis trigger by exhibiting the whole path of knowledge transformation and processing
Knowledge high quality administration – By monitoring transformations and dependencies, organizations can higher keep knowledge high quality and perceive how knowledge high quality points would possibly propagate via their methods
Lineage seize is automated utilizing a number of instruments in SageMaker Unified Studio. To be taught extra, seek advice from Knowledge lineage help matrix.
Within the following sections, we present you the right way to configure your assets and implement the answer. For this submit, we create the answer assets within the us-west-2 AWS Area utilizing an AWS CloudFormation template.
Stipulations
Earlier than getting began, be sure to have the next:
Configure SageMaker Unified Studio with AWS CloudFormation
Launch the stack vpc-analytics-lineage-sus utilizing the CloudFormation template:
Present the parameter values as listed within the following desk.
Parameters
Pattern worth
DatazoneS3Bucket
s3://datazone-{account_id}/
DomainName
dz-studio
EnvironmentName
sm-unifiedstudio
PrivateSubnet1CIDR
10.192.20.0/24
PrivateSubnet2CIDR
10.192.21.0/24
PrivateSubnet3CIDR
10.192.22.0/24
ProjectName
sidproject
PublicSubnet1CIDR
10.192.10.0/24
PublicSubnet2CIDR
10.192.11.0/24
PublicSubnet3CIDR
10.192.12.0/24
UsersList
analyst
VpcCIDR
10.192.0.0/16
The stack creation course of can take roughly 20 minutes to finish. You may examine the Outputs tab for the stack after the stack is created.
Subsequent, we put together supply knowledge, setup the AWS Glue ETL Job, Amazon EMR Serverless Spark Job and Amazon Redshift Job to generate the lineage and seize lineage from Amazon SageMaker Unified Studio
Put together knowledge
The next is instance knowledge from our CSV information:
EmployeeID,Title,Division,Function,HireDate,Wage,PerformanceRating,Shift,Location E1000,Employee_0,High quality Management,Operator,2021-08-08,33002.0,1,Evening,Plant C E1001,Employee_1,Upkeep,Supervisor,2015-12-31,69813.76,5,Night,Plant B E1002,Employee_2,Manufacturing,Technician,2015-06-18,46753.32,1,Night,Plant A E1003,Employee_3,Admin,Supervisor,2020-10-13,52853.4,5,Evening,Plant A E1004,Employee_4,High quality Management,Supervisor,2023-09-21,55645.27,5,Night,Plant A
Add the pattern knowledge from attendance.csv and staff.csv to the S3 bucket specified within the earlier CloudFormation stack (s3://datazone-{account_id}/csv/).
Ingest worker knowledge in Amazon Relational Database Dervice (Amazon RDS) for MySQL desk
On the CloudFormation console, open the stack vpc-analytics-lineage-sus and accumulate the Amazon RDS for MySQL database endpoint to make use of within the following instructions to create a default employeedb database.
Seize lineage from AWS Glue ETL job and pocket book
To exhibit the lineage, we arrange an AWS Glue extract, rework, and cargo (ETL) job to learn the worker knowledge from an Amazon RDS for MySQL desk and the worker attendance knowledge from Amazon S3, and be a part of each datasets. Lastly, we write the info to Amazon S3 and create the attendance_with_emp1 desk within the AWS Glue Knowledge Catalog.
Create and configure AWS Glue job for lineage era
Full the next steps to create your AWS Glue ETL job:
On the AWS Glue console, create a brand new ETL job with AWS Glue model 5.0.
Allow Generate lineage occasions and supply the area ID (retrieve from the CloudFormation template output for DataZoneDomainid; it’s going to have the format dzd_xxxxxxxx)
Use the next code snippet within the AWS Glue ETL job script. Present the S3 bucket (bucketname-{account_id}) used within the previous CloudFormation stack.
from pyspark.sql import SparkSession from pyspark.sql import SparkSession, DataFrame from pyspark.sql.features import * from pyspark.sql.sorts import * from pyspark import SparkContext from pyspark.sql import SparkSession import sys import logging spark = SparkSession.builder.appName("lineageglue").enableHiveSupport().getOrCreate() connection_details = glueContext.extract_jdbc_conf(connection_name="connectionname") employee_df = spark.learn.format("jdbc").possibility("url", "jdbc:MySQL://dbhost:3306/database_name").possibility("dbtable", "worker").possibility("person", connection_details['user']).possibility("password", connection_details['password']).load() s3_paths = { 'absent_data': 's3://bucketname-{account_id}/csv/attendance.csv' } absent_df = spark.learn.csv(s3_paths['absent_data'], header=True, inferSchema=True) joined_df = employee_df.be a part of(absent_df, on="EmployeeID", how="interior") joined_df.write.mode("overwrite").format("parquet").possibility("path", "s3://datazone-{account_id}/attendanceparquet/").saveAsTable("gluedbname.tablename")
Select Run to start out the job.
On the Runs tab, affirm the job ran with out failure.
After the job has executed efficiently, navigate to the SageMaker Unified Studio area.
Select Mission and underneath Overview, select Knowledge Sources.
Choose the Knowledge Catalog supply (accountid-AwsDataCatalog-glue_db_suffix-default-datasource).
On the Actions dropdown menu, select Edit.
Below Connection, allow Import knowledge lineage.
Within the Knowledge Choicepart, underneath Desk Choice Standards, present a desk title or use * to generate lineage.
Replace the info supply and select Run to create an asset referred to as attendance_with_emp1 in SageMaker Catalog.
Navigate to Property, select the attendance_with_emp1 asset, and navigate to the LINEAGE part.
The next lineage diagram exhibits an AWS Glue job that integrates knowledge from two sources: worker data saved in Amazon RDS for MySQL and worker absence information saved in Amazon S3. The AWS Glue job combines these datasets via a be a part of operation, then creates a desk within the Knowledge Catalog and registers it as an asset in SageMaker Catalog, making the unified knowledge out there for additional evaluation or machine studying functions.
Create and configure AWS Glue pocket book for lineage era
Full the next steps to create the AWS Glue pocket book:
On the AWS Glue console, select Creator utilizing an interactive code pocket book.
Below Choices, select Begin contemporary and select Create pocket book.
Within the pocket book, use the next code to generate lineage.
Within the following code, we add the required Spark configuration to generate lineage after which learn CSV knowledge from Amazon S3 and write in Parquet format to the Knowledge Catalog desk. The Spark configuration consists of the next parameters:
spark.extraListeners=io.openlineage.spark.agent.OpenLineageSparkListener – Registers the OpenLineage listener to seize Spark job execution occasions and metadata for lineage monitoring
spark.openlineage.transport.sort=amazon_datazone_api – Specifies Amazon DataZone because the vacation spot service the place the lineage knowledge shall be despatched and saved
spark.openlineage.transport.domainId=dzd_xxxxxxx – Defines the distinctive identifier of your Amazon DataZone area the place the lineage knowledge shall be related
spark.glue.accountId={account_id} – Specifies the AWS account ID the place the AWS Glue job is working for correct useful resource identification and entry
spark.openlineage.sides.custom_environment_variables – Lists the particular atmosphere variables to seize within the lineage knowledge for context in regards to the AWS and AWS Glue atmosphere
spark.glue.JOB_NAME=lineagenotebook – Units a novel identifier title for the AWS Glue job that may seem in lineage monitoring and logs
After the pocket book has executed efficiently, navigate to the SageMaker Unified Studio area.
Select Mission and underneath Overview, select Knowledge Sources.
Select the Knowledge Catalog supply ({account_id}-AwsDataCatalog-glue_db_suffix-default-datasource).
Select Run to create the asset attendance_with_empnote in SageMaker Catalog.
Navigate to Property, select the attendance_with_empnote asset, and navigate to the LINEAGE part.
The next lineage diagram exhibits an AWS Glue job that reads knowledge from the worker absence information saved in Amazon S3. The AWS Glue job rework CSV knowledge into Parquet format, then creates a desk within the Knowledge Catalog and registers it as an asset in SageMaker Catalog.
Seize lineage from Amazon Redshift
To exhibit the lineage, we’re creating an worker desk and an attendance desk and be a part of each datasets. Lastly, we create a brand new desk referred to as employeewithabsent in Amazon Redshift. Full the next steps to create and configure lineage for Amazon Redshift tables:
In SageMaker Unified Studio, open your area.
Below Compute, select Knowledge warehouse.
Open undertaking.redshift and replica the endpoint title (redshift-serverless-workgroup-xxxxxxx).
On the Amazon Redshift console, open the Question Editor v2, and connect with the Redshift Serverless workgroup with a secret. Use the AWS Secrets and techniques Supervisor possibility and select the key redshift-serverless-namespace-xxxxxxxx.
Use the next code to create tables in Amazon Redshift and cargo knowledge from Amazon S3 utilizing the COPY command. Make certain the IAM function has GetObject permission on the S3 information attendance.csv and staff.csv.
Create Redshift desk absent
CREATE TABLE public.absent ( employeeid character various(65535), date date, shiftstart timestamp with out time zone , shiftend timestamp with out time zone, absent boolean, overtimehours integer );
Load knowledge into absent desk.
COPY absent FROM 's3://datazone-{account_id}/csv/attendance.csv' IAM_ROLE 'arn:aws:iam::accountid:function/RedshiftAdmin' csv IGNOREHEADER 1;
Create Redshift desk worker
CREATE TABLE public.worker ( employeeid character various(65535), title character various(65535), division character various(65535), function character various(65535), hiredate date, wage double precision, performancerating integer, shift character various(65535), location character various(65535) );
Load knowledge into worker desk.
COPY worker FROM 's3://datazone-{account_id}/csv/staff.csv' IAM_ROLE 'arn:aws:iam::account-id:function/RedshiftAdmin' csv IGNOREHEADER 1;
After the tables are created and the info is loaded, carry out the be a part of between the tables and create a brand new desk with a CTAS question:
CREATE TABLE public.employeewithabsent AS SELECT e.*, a.absent, a.overtimehours FROM public.worker e INNER JOIN public.absent a ON e.EmployeeID = a.EmployeeID;
Navigate to the SageMaker Unified Studio area.
Select Mission and underneath Overview, select Knowledge Sources.
Choose the Amazon Redshift supply (RedshiftServerless-default-redshift-datasource).
On the Actions dropdown menu, select Edit.
Below Connection, Allow Import knowledge lineage.
Within the Knowledge Choice part, underneath Desk Choice Standards, present a desk title or use * to generate lineage.
Replace the info supply and select Run to create an asset referred to as employeewithabsent in SageMaker Catalog.
Navigate to Property, select the employeewithabsent asset, and navigate to the LINEAGE part.
The next lineage diagram exhibits becoming a member of two redshift tables and creating a brand new redshift desk and registers it as an asset in SageMaker Catalog.
Seize lineage from EMR Serverless job
To exhibit the lineage, we learn worker knowledge from an RDS for MySQL desk and an attendance dataset from Amazon Redshift, and be a part of each datasets. Lastly, we write the info to Amazon S3 and create the attendance_with_employee desk within the Knowledge Catalog. Full the next steps:
On the Amazon EMR console, select EMR Serverless within the navigation pane.
To create or handle EMR Serverless functions, you want the EMR Studio UI.
If you have already got an EMR Studio within the Area the place you need to create an software, select Handle functions to navigate to your EMR Studio, or choose the EMR Studio that you simply need to use.
In case you don’t have an EMR Studio within the Area the place you need to create an software, select Get began after which select Create and launch Studio. EMR Serverless creates an EMR Studio for you so you may create and handle functions.
Within the Create studio UI that opens in a brand new tab, enter the title, sort, and launch model on your software.
Select Create software.
Create an EMR Spark serverless software with the next configuration:
For Sort, select Spark.
For Launch model, select emr-7.8.0.
For Structure, select x86_64.
For Software setup choices, choose Use customized settings.
For Interactive endpoint, allow the endpoint for EMR Studio.
For Software configuration, use the next configuration:
After software has began, submit the Spark software to generate lineage occasions. Copy the next script and add it to the S3 bucket (s3://datazone-{account_id}/script/). Add the MySQL-connector-java JAR file to the S3 bucket (s3://datazone-{account_id}/jars/) to learn the info from MySQL.
from pyspark.sql import SparkSession from pyspark.sql import SparkSession, DataFrame from pyspark.sql.features import * from pyspark.sql.sorts import * from pyspark import SparkContext from pyspark.sql import SparkSession import sys import logging spark = SparkSession.builder.appName("lineageglue").enableHiveSupport().getOrCreate() employee_df = spark.learn.format("jdbc").possibility("driver","com.MySQL.cj.jdbc.Driver").possibility("url", "jdbc:MySQL://dbhostname:3306/databasename").possibility("dbtable", "worker").possibility("person", "admin").possibility("password", "xxxxxxx").load() absent_df = spark.learn.format("jdbc").possibility("url", "jdbc:redshift://redshiftserverlessendpoint:5439/dev").possibility("dbtable", "public.absent").possibility("person", "admin").possibility("password", "xxxxxxxxxx").load() joined_df = employee_df.be a part of(absent_df, on="EmployeeID", how="interior") joined_df.write.mode("overwrite").format("parquet").possibility("path", "s3://datazone-{account_id}/emrparquetnew/").saveAsTable("gluedname.tablename")
After you add the script, use the next command to submit the Spark software. Change the next parameters in response to your atmosphere particulars:
application-id: Present the Spark software ID you generated.
execution-role-arn: Present the EMR execution function.
entryPoint: Present the Spark script S3 path.
domainID: Present the area ID (from the CloudFormation template output for DataZoneDomainid: dzd_xxxxxxxx).
After the job has executed efficiently, navigate to the SageMaker Unified Studio area.
Select Mission and underneath Overview, select Knowledge Sources.
Choose the Knowledge Catalog supply ({account_id}-AwsDataCatalog-glue_db_xxxxxxxxxx-default-datasource).
On the Actions dropdown menu, select Edit.
Below Connection, allow Import knowledge lineage.
Within the Knowledge Choice part, underneath Desk Choice Standards, present a desk title or use * to generate lineage.
Replace the info supply and select Run to create an asset referred to as attendancewithempnew in SageMaker Catalog.
Navigate to Property, select the attendancewithempnew asset, and navigate to the LINEAGE part.
The next lineage diagram exhibits an AWS Glue job that integrates worker data saved in Amazon RDS for MySQL and worker absence information saved in Amazon Redshift. The AWS Glue job combines these datasets via a be a part of operation, then creates a desk within the Knowledge Catalog and registers it as an asset in SageMaker Catalog.
On the AWS CloudFormation console, delete the CloudFormation stack vpc-analytics-lineage-sus.
Conclusion
On this submit, we confirmed how knowledge lineage in SageMaker Catalog helps you monitor and perceive the whole lifecycle of your knowledge throughout numerous AWS analytics providers. This complete monitoring system gives visibility into how knowledge flows via completely different processing levels, transformations, and analytical workflows, making it a vital device for knowledge governance, compliance, and operational effectivity.
Check out these lineage visualization strategies on your personal use circumstances, and share your questions and suggestions within the feedback part.
Enterprises are making daring strikes into AI, and Cisco AI PODs present a robust, pre-validated basis for deploying AI infrastructure at scale. They carry collectively compute, storage, and networking in a modular design that simplifies procurement and deployment. Nonetheless, deploying {hardware} is simply the start. The subsequent essential step is making this highly effective infrastructure consumable as a service.
That is the place Rafay enhances Cisco AI PODs. Rafay’s GPU Platform as a Service (PaaS) provides the essential consumption layer, turning the {hardware} right into a ruled, self-service GPU cloud. Collectively, Cisco and Rafay allow organizations to operationalize AI quicker by providing safe, multi-tenant entry, standardized workload SKUs, and policy-driven governance.
This publish explores how this joint answer transforms uncooked GPU energy right into a production-ready AI platform, enabling developer self-service whereas sustaining enterprise-grade management.
From Infrastructure to Consumption: The Platform Problem
Organizations have accelerated investments in AI infrastructure, deploying platforms like Cisco AI PODs with the newest NVIDIA {hardware} to allow generative AI, Retrieval-Augmented Technology (RAG), and large-scale inference. As adoption grows, a brand new problem emerges: the right way to allow a number of groups to securely and effectively eat this shared infrastructure.
Platform groups should stability entry throughout totally different teams, every with distinctive wants and safety necessities. And not using a standardized consumption layer, this results in a number of issues:
Underutilized GPUs: Trade benchmarks report common GPU utilization charges typically fall beneath 30%. That is partly as a result of AI workloads are “bursty” and most environments lack the mechanisms to slice and share GPU assets effectively. When costly GPUs sit idle, it represents a big alternative price.
Handbook Provisioning: Platform groups typically depend on handbook configurations, ad-hoc scripts, and repair tickets to handle entry. These workflows decelerate supply, introduce inconsistencies, and make it tough to implement governance.
Siloed Sources: And not using a unified platform, GPU infrastructure typically turns into siloed by workforce, limiting sharing and stopping a holistic view of utilization and prices. Builders and researchers should navigate complicated inside processes simply to run a job.
To unravel this, enterprises must function their GPU infrastructure as a service—one which helps shared assets, multitenant isolation, and automatic coverage enforcement.
The Joint Answer: Cisco AI PODs + Rafay GPU PaaS
Cisco and Rafay have collaborated to ship a modular, absolutely validated GPU cloud structure. This answer combines Cisco’s best-in-class AI POD infrastructure with Rafay’s GPU Platform as a Service, remodeling GPU {hardware} right into a safe, self-service, multitenant cloud.
Cisco AI PODs present the compute, cloth, storage, and pre-validated design. Based mostly on Cisco Validated Designs (CVDs), they combine next-generation Cisco UCS platforms (just like the C885A M8 Server) and the newest NVIDIA GPUs to energy all the AI lifecycle.
Rafay GPU PaaS delivers the orchestration, coverage enforcement, and developer abstraction layer. It transforms the foundational {hardware} right into a production-grade GPU cloud that’s easy to eat.
This mixed structure allows organizations to quickly launch and function GPU clouds with full-stack orchestration, declarative SKU provisioning, and built-in price attribution.
Developer Self-Service By way of a Curated Catalog
On the core of Rafay’s platform is the SKU Studio, a purpose-built catalog system that empowers platform groups to ship AI-ready infrastructure and purposes as reusable SKUs.
Every SKU is a modular abstraction that bundles:
Compute Configuration: GPU/MIG profiles, CPU, reminiscence, and storage.
Utility Stack: Pre-integrated instruments like vLLM, Triton, or Jupyter Notebooks.
Coverage Controls: Time-to-Reside (TTLs), RBAC, multitenancy, and quotas.
Billing Metadata: Utilization models and price attribution.
Builders can entry GPU environments immediately by means of a self-service portal (GUI, API, or CLI) without having to file assist tickets. For instance, a knowledge scientist can choose an “H100-Inference-vLLM” SKU, which robotically provisions a particular GPU slice, deploys a safe container, and applies a 48-hour TTL. This streamlines workflows and ensures safety greatest practices are utilized constantly.
Safe Multi-Tenancy and Governance
Sharing costly GPU assets requires strict isolation and governance. Rafay gives native, safe multi-tenancy that enables groups to securely share infrastructure with out interference.
Key safety controls are robotically enforced:
Hierarchical RBAC: Defines permissions and entry scope for tenants, initiatives, and workspaces.
Namespace Isolation: Ensures workloads are separated on the cluster and community stage.
Useful resource Quotas: Prevents any single workforce or job from monopolizing assets.
Centralized Audit Logs: Gives an entire audit path of person actions for compliance.
These built-in protections permit platform groups to keep up full oversight and management whereas empowering builders with the liberty they should innovate.
Complete GPU Administration and Visibility
To maximise ROI, you’ll want to know the way your GPUs are getting used. Rafay gives end-to-end visibility, metering, and price attribution tailor-made for multitenant environments.
Platform groups can use declarative blueprints to standardize GPU operator configurations and slicing methods (like MIG) throughout all clusters. Multi-tenant dashboards supply detailed insights into:
GPU stock and allocation
SKU utilization patterns
Occasion-level exercise and person attribution
Well being standing and uptime developments
A billing metrics API aggregates utilization information, calculates billable compute, and generates auditable studies, enabling chargebacks and monetary accountability.
Who Advantages from a Unified GPU Cloud?
This collectively validated answer is designed for a various vary of consumers who must operationalize GPU infrastructure with safety, velocity, and scale.
Enterprise IT Groups: Achieve federated self-service, quota enforcement, and centralized visibility. This reduces infrastructure duplication and embeds governance into day by day operations.
Sovereign & Public Sector Organizations: Meet compliance wants in air-gapped environments with safe multitenancy, coverage enforcement, and centralized audit logging.
Cloud & Managed Service Suppliers: Monetize GPU infrastructure with a white-labeled, multitenant platform that features automated tenant onboarding and built-in chargeback metering.
Present Cisco Clients: Prolong the ROI of present UCS deployments by including GPU orchestration as a seamless overlay with no re-architecture required.
Greenfield AI Builders: Begin contemporary with a pre-validated, absolutely built-in answer that reduces the time from procurement to operational AI companies from months to weeks.
Operationalize Your AI Infrastructure At the moment
Pairing Cisco’s validated AI infrastructure with Rafay’s GPU PaaS management aircraft permits organizations to remodel GPU programs into absolutely ruled inside platforms. The result’s a consumption-driven structure the place builders achieve self-service entry, operators implement quotas and monitor consumption, and the enterprise maximizes the worth of its AI investments.
This structure presents a transparent path ahead: ship GPU infrastructure as a service, allow safe and compliant multitenancy, and make consumption predictable and cost-aligned from day one.
To see this highly effective answer in motion, be a part of our upcoming webinar. Specialists from Cisco and Rafay will exhibit the right way to remodel your GPU infrastructure right into a production-ready AI service.
Reside Webinar: From AI PODs to GPU Cloud October 21, 2025 at 8:00 a.m. PST / 3:00 p.m. GMT
We’d love to listen to what you suppose. Ask a Query, Remark Under, and Keep Related with #CiscoPartners on social!
A current CIO article revealed a startling actuality: 31% of staff admit to sabotaging their firm’s generative AI technique. That’s practically one in three staff actively slowing down, blocking, or undermining progress.
Now layer within the math: most AI initiatives contain dozens of staff. Which means statistically, virtually each undertaking or proof-of-concept is being impacted by a number of saboteurs. No marvel MIT just lately discovered that greater than 80% of company AI initiatives are failing to ship significant ROI. It’s not at all times the know-how—it’s the tradition.
At Appvance, we’ve seen this firsthand in proof-of-concept initiatives. AIQ generates a thousand check scripts in underneath an hour—one thing which may take a standard QA workforce weeks or months. For some testers, that is exhilarating: lastly, protection at a scale that people alone might by no means obtain. For others, it’s terrifying. As a substitute of leaning in, they resist, delay, or undermine the trouble—hoping to guard their function for just a bit longer.
However right here’s the reality: they received’t win.
A Lesson from the Industrial Revolution
The phrase “sabotage” comes from staff within the early industrial revolution who threw their wood footwear—sabots—into machines to interrupt them and gradual the unfold of automation. They thought if the machines failed, their jobs could be protected. However historical past was unforgiving. The machines stayed. The factories grew. And people who fought the change had been the primary to lose their livelihoods.
We’re on the similar crossroads now. Generative AI isn’t going away. It’s not a fad or a pilot that may be shelved when inconvenient. Identical to mechanized looms and meeting strains earlier than it, AI is a structural shift in how work will get completed.
The Futility of Resistance
In QA, resisting AI appears to be like like clinging to record-and-replay instruments, insisting that each check should be scripted by hand, or spreading FUD about AI-generated outcomes. However resistance is shortsighted. Legacy strategies already fail to maintain up with fashionable functions. They miss bugs. They burn via budgets. They gradual releases.
When AIQ autonomously generates hundreds of executable exams, expands protection 10X, and finds bugs nobody else can, the comparability is over. The productiveness hole is just too extensive. You can not sabotage your approach into relevance.
The Path to Thriving: Turn out to be the Robotic Overlord
The employees who thrived within the industrial age weren’t the saboteurs. They had been those who discovered to function and command the machines. They grew to become supervisors, managers, and consultants in new processes. The identical is true as we speak.
Our message to QA professionals is straightforward: grow to be the robotic overlord.
Grasp AI Script Technology (AISG). Embrace GENI’s capability to transform hundreds of handbook check circumstances into absolutely automated suites in minutes. Leverage the Digital Twin to speed up protection past something doable in actual time.
If you do, you don’t compete with AI—you command it. You speed up previous friends who’re caught in concern. You grow to be indispensable, not out of date.
The Future Is Determined by Adoption, Not Avoidance
C-level executives usually don’t see the sabotage occurring beneath them. They only see POCs stall out, AI initiatives failing to scale, and “cultural resistance” being blamed. However the executives who empower edge groups—free from bureaucratic inertia—see a really totally different story. They see productiveness positive factors of 100X, defect detection charges 10X greater, and launch cycles slashed from weeks to hours.
The query isn’t whether or not AI will rework QA. It already has. The query is who will rise with it.
Historical past is evident: saboteurs at all times lose. Masters of the machine at all times win.
It’s time to resolve which facet of that story you’ll be on.
However there’s one other method over these hurdles. At her lab among the many redwoods, Jensen-Clem and her college students experiment with new applied sciences and software program to assist Keck’s main honeycomb mirror and its smaller, “deformable” mirror see extra clearly. Utilizing measurements from atmospheric sensors, deformable mirrors are designed to regulate form quickly, to allow them to appropriate for distortions brought on by Earth’s ambiance on the fly.
This normal imaging approach, referred to as adaptive optics, has been frequent observe because the Nineteen Nineties. However Jensen-Clem is seeking to stage up the sport with excessive adaptive optics applied sciences, that are aimed to create the very best picture high quality over a small area of view. Her group, particularly, does so by tackling points involving wind or the first mirror itself. The purpose is to focus starlight so exactly {that a} planet could be seen even when its host star is one million to a billion occasions brighter.
In April, she and her former collaborator Maaike van Kooten have been named co-recipients of the Breakthrough Prize Basis’s New Horizons in Physics Prize. The prize announcement says they earned this early-career analysis award for his or her potential “to allow the direct detection of the smallest exoplanets” by a repertoire of strategies the 2 ladies have spent their careers creating.
In July, Jensen-Clem was additionally introduced as a member of a brand new committee for the Liveable Worlds Observatory, an idea for a NASA house telescope that may spend its profession on the prowl for indicators of life within the universe. She’s tasked with defining the mission’s scientific targets by the tip of the last decade.
The Keck Observatory’s 10-meter main mirror incorporates a honeycomb construction with 36 particular person mirror segments.
ETHAN TWEEDIE
“In adaptive optics, we spend loads of time on simulations, or within the lab,” Jensen-Clem says. “It’s been an extended street to see that I’ve really made issues higher on the observatory up to now few years.”
Jensen-Clem has lengthy appreciated astronomy for its extra mind-bending qualities. In seventh grade, she turned fascinated by how time slows down close to a black gap when her dad, an aerospace engineer, defined that idea to her. After beginning her bachelor’s diploma at MIT in 2008, she turned taken with how a distant star can appear to vanish—both immediately winking out or gently fading away, relying on the sort of object that passes in entrance of it. “It wasn’t fairly exoplanet science, however there was loads of overlap,” she says.
“Should you simply search for on the evening sky and see stars twinkling, it’s occurring quick. So we’ve got to go quick too.”
Throughout this time, Jensen-Clem started sowing the seeds for considered one of her prize-winning strategies after her educating assistant really useful that she apply for an internship at NASA’s Jet Propulsion Laboratory. There, she labored on a setup that would good the orientation of a big mirror. Such mirrors are tougher to realign than the smaller, deformable ones, whose shape-changing segments cater to Earth’s fluctuating ambiance.
“On the time, we have been saying, ‘Oh, wouldn’t or not it’s actually cool to put in considered one of these at Keck Observatory?’” Jensen-Clem says. The concept caught round. She even wrote about it in a fellowship software when she was gearing as much as begin her graduate work at Caltech. And after years of touch-and-go improvement, Jensen-Clem succeeded in putting in the system—which makes use of a know-how referred to as a Zernike wavefront sensor—on Keck’s main mirror a couple of yr in the past. “My work as a university intern is lastly finished,” she says.
Subsequent up in our “Ask Drone Woman” collection is about flying drones close to Waikiki. In case you have a query for Drone Woman, contact her right here.
I shall be in Waikiki for work on the finish of subsequent month, and I used to be questioning if you happen to may advocate any particular locations I ought to take a look at photographing with my new drone? Additionally, if there are any particular necessities for flying across the island/water? Nonetheless getting used to flying past my line of sight and wished to make use of this chance to get extra snug and see some cool stuff!
Waikiki, which is without doubt one of the key tourism areas on the island of Oahu, affords unbelievable aerial pictures alternatives. In truth, it was the primary place I went after getting my fingers on the DJI Air 3S! Nevertheless, flying drones in Hawaii as an entire comes with some strict rules. Let me break down each the very best spots for flying drones on Oahu (and particularly in Waikiki), and the foundations to maintain you flying legally.
Right here’s a reel I shot on Oahu (although this was principally across the North Shore):
A fast disclaimer on drone line of sight necessities
Earlier than we speak about nice spots for flying drones close to Waikiki, I first want to deal with one thing necessary in your query. You talked about desirous to get extra snug “flying past my line of sight” – however right here’s the factor: flying past visible line of sight (BVLOS) is unlawful below Federal Aviation Administration (FAA) rules except you have got a selected waiver, which requires intensive documentation and approval.
Beneath Half 107 (if you happen to’re flying commercially) and even below leisure tips, you should preserve your drone inside visible line of sight always. This implies you want to have the ability to see your drone with your individual eyes (not by way of the digital camera feed) all through your complete flight. So quite than getting snug with BVLOS flying, concentrate on maximizing what you possibly can seize whereas staying authorized and preserving your drone in sight.
Hawaii-specific drone rules
Although the FAA regulates the skies, Hawaii regulates what occurs on the bottom, which suggests prohibiting drones from launching in sure areas. Listed below are some guidelines and proposals for staying each inside the regulation and simply usually being a respectful pilot in and round Waikiki.
State parks and seashores: Drones are prohibited from taking off, touchdown, or working inside all Hawaii state parks. This can be a large one as a result of a few of the most iconic spots within the Waikiki space, similar to Diamond Head State Monument, are state-managed.
Airport proximity: Honolulu Worldwide Airport isn’t removed from Waikiki. Verify with a B4UFly accredited service supplier or Aloft earlier than each flight to make sure you’re not in managed airspace.
Respect and privateness: Hawaii takes privateness severely. Keep away from flying over personal property with out permission, and be particularly conscious of residential areas and folks on seashores.
Wildlife: Preserve important distance from wildlife, particularly sea turtles and monk seals. Disturbing protected species (whether or not or not a drone is concerned!) may end up in severe fines.
The very best drone pictures spots close to Waikiki
Now with that in thoughts, right here’s the reply to your precise query: the very best drone pictures spots close to Waikiki:
Diamond Head Crater
Whilst you can not fly inside Diamond Head State Monument, you possibly can movie Hawaii’s iconic crater from accredited places close by. The crater’s distinctive profile towards the ocean makes it in order that it’s virtually extra scenic to movie it from afar. You should definitely keep exterior park boundaries and preserve line of sight.
Magic Island (Ala Moana Seashore Park)
This man-made peninsula affords stunning sundown pictures with Waikiki’s skyline within the background. Verify present rules as park guidelines can change, and arrive early to scout your takeoff location. The distinction between the calm lagoon and open ocean creates compelling compositions.
Kaka’ako Waterfront Park
This city park space can present fascinating views of Honolulu’s creating skyline. The commercial-meets-beach vibe affords distinctive photograph alternatives you received’t discover in typical vacationer pictures.
Offshore Waikiki Seashore (with warning)
Flying over the ocean from public seashore entry factors can yield attractive pictures of the turquoise water and surfers. Nevertheless, you should preserve visible line of sight, respect beachgoers’ privateness and keep conscious of your battery life. Preserve a secure altitude and distance from folks within the water.
As all the time, guidelines can change (and so they is perhaps completely different on the time of your flight versus the time you’ve learn this). Verify official authorities web sites — or just in-person signage — for essentially the most up-to-date info.
Professional suggestions for flying drones close to Waikiki
Golden hour is your pal: Mild is sort of all the time at its greatest throughout dawn and sundown. In Waikiki, the colours bouncing off the water and buildings create magic that noon solar can’t match.
Verify wind situations: Commerce winds in Hawaii might be stronger than you count on, particularly at larger altitudes. Begin low and check situations earlier than committing to complicated pictures.
Backup your footage: That is good observe everytime you’re touring with a drone. Don’t wait till you’re again residence to switch information. Reminiscence card failures occur, baggage will get misplaced, and so forth. Backup your footage whereas nonetheless in Hawaii.
Take into account a spotter: Having somebody assist you preserve visible line of sight when you concentrate on digital camera work makes flights safer and extra productive.
Waikiki and Oahu supply phenomenal drone pictures alternatives, however staying authorized and respectful ensures everybody can proceed having fun with these privileges. Give attention to mastering your abilities inside visible line of sight – you’ll be amazed at what you possibly can seize whereas following the foundations.
Blissful flying, and luxuriate in these Hawaiian skies!
Associated
Uncover extra from The Drone Woman
Subscribe to get the newest posts despatched to your electronic mail.
Rishi Jangale and Derek Pravecek with RoboBall III. Picture credit score: Emily Oswald/Texas A&M Engineering.
By Alyssa Schaechinger
Whereas working at NASA in 2003, Dr. Robert Ambrose, director of the Robotics and Automation Design Lab (RAD Lab), designed a robotic with no fastened high or backside. An ideal sphere, the RoboBall couldn’t flip over, and its form promised entry to locations wheeled or legged machines couldn’t attain — from the deepest lunar crater to the uneven sands of a seashore. Two of his college students constructed the primary prototype, however then Ambrose shelved the thought to concentrate on drivable rovers for astronauts.
When Ambrose arrived at Texas A&M College in 2021, he noticed an opportunity to reignite his thought. With funding from the Chancellor’s Analysis Initiative and Governor’s College Analysis Initiative, Ambrose introduced RoboBall again to life.
Now, 20 years after the unique thought, RoboBall is rolling throughout Texas A&M College.
Pushed by graduate college students Rishi Jangale and Derek Pravecek, the RAD Lab is intent on sending RoboBall, a novel spherical robotic, into uncharted terrain.
Jangale and Pravecek, each Ph.D. college students within the J. Mike Walker ’66 Division of Mechanical Engineering, have performed a big half in getting the ball rolling as soon as once more.
“Dr. Ambrose has given us such a cool alternative. He provides us the possibility to work on RoboBall nevertheless we would like,” mentioned Jangale, who started work on RoboBall in 2022. “We handle ourselves, and we get to take RoboBall in any route we would like.”
Pravecek echoed that sense of freedom. “We get to work as precise engineers doing engineering duties. This analysis teaches us issues past what we learn in textbooks,” he mentioned. “It truly is the most effective of each worlds.”
Robotic in an airbag
On the coronary heart of the venture is the straightforward idea of a “robotic in an airbag.” Two variations now exist in tandem. RoboBall II, a 2-foot-diameter prototype, is tuned for trial runs, monitoring energy output and management algorithms. RoboBall III has a diameter of 6 ft throughout and is constructed with plans to hold payloads similar to sensors, cameras or sampling instruments, for real-world missions.
Upcoming exams will proceed to take RoboBall into outside environments. RAD Lab researchers are planning subject trials on the seashores of Galveston to reveal a water-to-land transition, testing the robotic’s buoyancy and terrain adaptability in a real-world setting.
“Conventional autos stall or tip over in abrupt transitions,” Jangale defined. “This robotic can roll out of water onto sand with out worrying about orientation. It’s going the place different robots can’t.”
The elements that create the flexibility of RoboBall additionally result in a few of its challenges. As soon as sealed inside its protecting shell, the robotic can solely be accessed electronically. Any mechanical failure means disassembly and digging by means of layers of wiring and actuators.
“Diagnostics generally is a headache,” mentioned Pravacek. “If a motor fails or a sensor disconnects, you may’t simply pop open a panel. It’s important to take aside the entire robotic and rebuild. It’s like open-heart surgical procedure on a rolling ball.”
RoboBall’s novelty means the crew typically operates with out a blueprint.
“Each process is new,” Jangale mentioned. “We’re very a lot on our personal. There’s no literature on soft-shelled spherical robots of this measurement that roll themselves.”
Regardless of these hurdles, the scholars discover themselves stunned each time the robotic outperforms expectations.
“When it does one thing we didn’t suppose was doable, I’m all the time stunned,” Pravecek mentioned. “It nonetheless looks like magic.”
Pupil-led innovation
The crew set a brand new report when RoboBall II reached 20 miles per hour, roughly half its theoretical energy output. “We didn’t anticipate hitting that pace so quickly,” Pravecek mentioned. “It was thrilling, and it opened up new targets. Now we’re pushing even additional.”
Ambrose sees these reactions as proof that student-led innovation thrives when engineers have room to discover.
“The autonomy Rishi and Derek have is strictly what a venture like this wants,” he mentioned. “They’re not simply following directions — they’re inventing the subsequent era of exploration instruments.”
Lengthy-term targets embrace autonomous navigation and distant deployment. The crew hopes to see RoboBall dispatched from a lunar lander to chart steep crater partitions or launched from an unmanned drone to survey post-disaster landscapes on Earth. Every ball may map terrain, transmit knowledge again to operators and even deploy devices in hard-to-reach spots.
“Think about a swarm of those balls deployed after a hurricane,” Jangale mentioned. “They might map flooded areas, discover survivors and produce again important knowledge — all with out risking human lives.”
Because the RoboBall venture rolls on, student-driven analysis stands on full show.
“Engineering is drawback fixing at its purest,” Ambrose mentioned. “Give inventive minds a problem and the liberty to discover, and also you’ll see innovation roll into actuality.”
Prepare for one in all TechCrunch Disrupt 2025’s most electrifying moments — actually. Chris Barman, CEO of Slate Auto, is rolling one in all her firm’s brand-new electrical vehicles onto the Disrupt Stage earlier than anybody else on the planet sees it on the highway.
Be within the room for this reside EV unveiling on the principle stage. Save as much as $624 this week once you register earlier than October 17. Bringing a crew? Save an extra 15% to 30% on group passes.
How Slate is reinventing the business EV market — reside onstage
Barman will give attendees an insider’s have a look at how Slate is reimagining the business EV market — from design to manufacturing — and can share what it takes to construct a next-generation automobile firm in some of the capital-intensive industries on earth. Count on an unfiltered dialog concerning the realities of {hardware} innovation, provide chain complexity, and startup-scale manufacturing, plus a reside, in-person reveal of one of many 12 months’s buzziest new EVs.
Picture Credit:Slate Auto
About Chris Barman
Slate Auto‘s CEO Christine (Chris) Barman leads the corporate’s mission to construct autos individuals can afford, personalize, and love. Previous to founding Slate, she served as world VP of strategic enterprise growth and options in transportation at HCL Applied sciences and was CTO of the Industrial Sector at Eaton Company.
Barman additionally spent greater than 20 years at Chrysler in management roles throughout engineering, programs, and product growth — pioneering improvements in autonomous driving, electrical programs, and driver-assistance applied sciences. A Purdue-trained mechanical engineer and College of Michigan MBA, she’s obsessed with mentoring the subsequent technology of girls engineers.
Drive into the longer term: Witness the EV reveal reside and save massive
With greater than 10,000 founders, traders, operators, and tech visionaries coming collectively at TechCrunch Disrupt 2025 (October 27–29), this session is a must-see for anybody constructing in mobility, manufacturing, or {hardware} innovation.
Xiaomi has launched the Redmi G34WQ 2026, a brand new budget-friendly gaming monitor launched on October 10, 2025. Regardless of its accessible worth, the system affords superior options usually present in higher-end fashions, together with an ultrawide curved show, excessive decision, and a quick refresh charge. The monitor is designed to enchantment to players looking for robust efficiency and flexibility with no premium price ticket.
The G34WQ 2026 encompasses a 34-inch ultrawide curved LCD panel with a 21:9 side ratio and Quad HD+ decision (3440 x 1440 pixels). Whereas Xiaomi didn’t verify the precise panel kind, the 3500:1 distinction ratio strongly suggests the usage of a VA (Vertical Alignment) panel, which affords deeper blacks in comparison with IPS panels. The display gives a 180 Hz refresh charge, 1 ms gray-to-gray response time, and assist for AMD FreeSync Premium, guaranteeing easy and tear-free gaming efficiency.
Coloration accuracy is one other spotlight, with 95% DCI-P3 gamut protection, 10-bit colour depth, and a Delta E worth beneath 2, indicating exact colour replica appropriate for each gaming and inventive duties. The monitor additionally helps HDR playback with VESA DisplayHDR 400 certification and delivers a typical brightness of 400 nits, providing vivid and detailed visuals.
Design-wise, the monitor combines black and white finishes with a hexagonal stand that enhances stability whereas saving desk area. It helps top, tilt, and swivel changes, and consists of a cable administration cutout. The show has a 1500R curvature, bettering immersion throughout gameplay or media viewing. Moreover, an RGB lighting ring on the again provides a refined gaming aesthetic.
Connectivity choices are complete, that includes two DisplayPort 1.4 ports, two HDMI 2.0 ports, and a 3.5 mm audio jack, permitting a number of units to be linked concurrently. The monitor can also be VESA mount suitable, enabling wall or arm set up for higher workspace flexibility.
When it comes to pricing, the Redmi G34WQ 2026 retails in China for 1,599 yuan (roughly $224), with an introductory promotional worth of 1,399 yuan (round $196). The product comes with a three-year guarantee. Whereas Xiaomi has not introduced worldwide availability, the corporate’s historical past of releasing screens globally suggests {that a} wider rollout could observe. Nonetheless, an official launch in Brazil seems unlikely for now.
iOS 26.1 continues to introduce new options and modifications for the upcoming iPhone software program replace. Right here’s the newest from iOS 26.1 beta 3 and extra.
Apple TV app icon
Apple is rebranding its streaming video service from Apple TV+ to simply Apple TV. The rebrand is being accompanied by “a vibrant new id,” based on Apple. The primary signal of vibrancy comes with the new icon for the Apple TV app. It now contains a splash of coloration as an alternative of grey. The brand new icon could be discovered on the 26.1 beta 3 model of every Apple OS, together with Apple TV.
Native Seize in Settings
iOS 26.1 and iPadOS 26.1 embrace the power to regulate achieve ranges when recording native audio with a linked microphone. Native audio seize itself is new to iOS 26 and iPadOS 26. Beginning with iOS 26.1 beta 3, the Settings app now features a Native Seize part beneath Common. The setting enables you to change the place Native Seize recordsdata are saved. It’s also possible to toggle Native Seize to solely embrace audio.
Third-party AI supplier modifications
New language in iOS 26.1 beta 3 code suggests Apple is making ready assist for extra third-party AI suppliers past OpenAI’s ChatGPT. Apple has at all times deliberate to permit extra AI suppliers to work with Apple Intelligence, beforehand pointing to Google’s Gemini AI instrument as a possible accomplice. A string that replaces ChatGPT with third-party hints that this promised future could arrive sooner somewhat than later.
Extra
In the meantime, extra modifications in code present that work to higher assist third-party smartwatches with Notification Forwarding continues. We’ll replace our protection if further modifications are found.
FTC: We use revenue incomes auto affiliate hyperlinks.Extra.
Rishi Jangale and Derek Pravecek with RoboBall III. Picture credit score: Emily Oswald/Texas A&M Engineering.
