At Oracle’s CloudWorld convention in Las Vegas, the company unveiled a plethora of cutting-edge analytics and AI technologies. The company’s exciting developments got underway yesterday, featuring expansions in Amazon Web Services (AWS) and Google Cloud, alongside enhancements to Fusion Information Intelligence, plus novel choices in its HeatWave lakehouse, GenAI, and AutoML offerings. The company capped off its CloudWorld information showcase by touting a cloud-based supercomputing system that boasts an impressive arsenal of over 130,000 NVIDIA graphics processing units (GPUs).
Oracle announces it’s now accepting orders for the world’s largest AI supercomputer, powered by 131,072 Nvidia Blackwell GPUs that can deliver a peak performance of 2.4 zettaFLOPS on Oracle Cloud Infrastructure (OCI) supercluster.
“Now, with the widest range of AI infrastructure options available, we’re empowering customers to tackle even the most demanding AI workloads in the cloud,” said Mahesh Thiagarajan, OCI government vice chair.
Clients can opt to have their OCI Superclusters configured with either Nvidia H100 or H200 Tensor Core GPUs, or Blackwell GPUs. Oracle declares that Superclusters equipped with H100 GPUs can scale up to an equivalent of 16,384 individual GPUs, leveraging a combined processing power of approximately 65 ExaFLOPS while delivering a peak aggregate bandwidth of 13 petabytes per second. Similarly, Superclusters featuring H200 GPUs are designed to scale to 65,536 individual GPUs, realizing efficiencies of up to 260 ExaFLOPS and aggregated community throughput of 52 petabytes per second.
Oracle has updated HeatWave, a fully managed MySQL database initially launched on its Oracle Cloud Infrastructure (OCI) in late 2020, designed to efficiently handle both transactional and analytical workloads seamlessly. As the company evolved, it integrated advanced features, including native machine learning and MySQL-powered lakehouse functionality.
Huge Pink recently announced a range of innovative HeatWave capabilities, including HeatWave Lakehouse, HeatWave GenAI, and HeatWave Autopilot indexing.
The HeatWave Lakehouse enables Oracle’s AWS customers to harness the power of Amazon S3 as their backend storage, combining it with Oracle engines to query structured, semi-structured, and unstructured data seamlessly.
AWS is now introducing HeatWave GenAI capabilities that enable customers to automatically create and manage vector stores and vector embeddings, as well as leverage large language models (LLMs) seamlessly integrated within the database. Oracle claims customers can utilize various Amazon Web Services (AWS) LLaMA models for their business needs.
“This empowers AWS customers to build sophisticated generative AI capabilities without requiring AI expertise, eliminating complex manual integrations and troubleshooting, and mitigating security risks and costs associated with transferring data to external providers,” Edward Screven, Oracle’s chief technology architect, stated in a press release.
AWS’s HeatWave Autopilot feature empowers prospects to craft more complex indexes, while native JavaScript support enables customers to directly execute stored procedures and functionality developed in JavaScript. Oracle claims that the expansion of HeatWave on AWS will empower customers to consolidate down to a single service, replacing six separate AWS providers.
Oracle has enhanced its HeatWave offerings on Oracle Cloud Infrastructure (OCI), introducing updates to its MySQL, GenAI, and Lakehouse options.
Oracle has introduced HeatWave MySQL, a cutting-edge “hypergraph” optimizer that significantly improves the price optimization of query plans, thereby enhancing database performance. The integration with OCI Ops Insights empowers administrators to identify efficiency opportunities, forecast consumption, and optimize capacity planning. Moreover, the bulk ingest feature enables fast data loading, up to 5 times quicker than previous methods.
HeatWave GenAI delivers a range of benefits, including Optical Character Recognition (OCR) capabilities, streamlined batch processing for Large Language Model (LLM) inference workloads, automated updates for vectors retailers, support for 27 languages, and enhanced JavaScript functionality.
HeatWave Lakehouse leverages its capabilities to support LLMs, potentially scaling up to 4x larger than before; introduces advanced subject modeling features for tasks like sentiment analysis on social media data; enhances knowledge drift detection; and offers semi-supervised log anomaly detection.
Oracle leveraged its CloudWorld event to announce several developments surrounding Fusion Information Intelligence, its suite of analytics, machine learning, and artificial intelligence capabilities integrated into its enterprise software solutions, including ERP and CRM systems.
Oracle has introduced the “Individuals Chief Workbench” app within its Oracle Cloud Human Capital Management (HCM) platform, aimed at helping organisations achieve their goals and objectives effectively. Oracle Cloud SCM customers now have access to the new Supply Chain Command Center application, which enables them to leverage insights for adjusting demand, supply, and market conditions.
Oracle owns Siebel, yet it’s bolstering its Fusion Information Intelligence suite to complement the competitive Salesforce CRM application. Oracle is enhancing support for integrating data from prospects’ Salesforce deployments with various integration methods within Fusion. Oracle has strengthened its core operational reporting functionality, while also introducing innovative AI and machine learning (ML) tools to enhance analytics capabilities across its entire suite of products, including Enterprise Resource Planning (ERP), Human Capital Management (HCM), Supply Chain Management (SCM), and Customer Experience (CX).
Oracle has introduced a cutting-edge developer tool that leverages GenAI technology to streamline the configuration process for Fusion Cloud’s Information Intelligence services, data, and applications.
Oracle further strengthened its collaborations with multiple leading cloud providers. The two corporations are currently collaborating with AWS, providing support for the Oracle Exadata Database Service as it runs on the AWS platform. Additionally, they introduced seamless information flow capabilities that bridged the Oracle database with functions operating on Amazon EC2, connecting seamlessly with AWS’s analytics providers and even integrating with Bedrock.
Oracle’s Larry Ellison noted during his remarks: “We’re witnessing an unprecedented surge in interest from businesses seeking to leverage multiple cloud platforms.” Ellison delivered a keynote speech at Oracle’s OpenWorld conference yesterday.
Oracle is reportedly gaining traction by running its software applications within Google Cloud’s infrastructure.
Oracle has announced a significant collaboration: it will run its Oracle Autonomous Database and Exadata in four Google Cloud data centers, leveraging Oracle Cloud Infrastructure (OCI). East (Ashburn), U.S. West (Salt Lake Metropolis), U.Ok. Southern Europe (London), and Germanic Centre (Frankfurt).
“This innovative service harmoniously integrates the benefits of Oracle Cloud Infrastructure and Google Cloud platforms to deliver a unified multicloud experience – a feat previously unimaginable in the cloud space just a few years ago,” said Karan Batta, Senior Vice President of Oracle Cloud Infrastructure.
