We’re thrilled to introduce significant enhancements to Azure OpenAI Service, empowering over 60,000 prospective customers to streamline their AI implementations more efficiently and at a reduced cost, effective immediately. With the introduction of self-service provisioned deployments, our aim is to enable more agile, speed-to-market, and cost-effective quota and deployment processes.
We are thrilled to unveil pivotal enhancements for [product/service name], specifically tailored to empower our 60,000-plus prospect base to streamline their AI deployments with increased efficiency and reduced costs, leveraging our competitive pricing structure. Introducing self-service provisioned deployments, our aim is to streamline your quota and deployment processes, enabling faster time-to-market and greater cost-effectiveness. The technical value proposition remains consistent—Provisioned deployments continue to be the optimal selection for low-latency and high-bandwidth applications. The latest announcement introduces self-service provisioning for streamlined capabilities, provides real-time visibility into service status, and innovates with Provisioned (PTU) hourly pricing and reservation options to optimize budgeting and cost savings.
What’s new?
“Streamlined Self-Service Provisioning: Efficiently Request Unbiased Quotas”
SKIP
We’re now offering self-service provisioning in conjunction with traditional tokens, enabling users to request Provisioned Throughput Units (PTUs) more efficiently and flexibly. This innovative feature enables you to manage your Azure OpenAI Service quota deployments autonomously, without relying on assistance from your account team. By separating quota demands from specific styles, you can now assign resources primarily based on your immediate needs and adapt as your requirements shift. This transformation streamlines the approach and hastens your capacity to launch and expand your initiatives.
What’s your visibility into service capabilities and availability?
Gain unparalleled insight into service performance and reliability, empowering informed decisions on your deployment strategies. By entering real-time details on service capabilities across multiple areas, you can ensure seamless planning and execution of deployments with precision. This transparency enables organisations to sidestep potential capacity constraints, thereby optimising workload distribution across external sources, ultimately leading to enhanced efficiency and reliability in achieving their objectives.
Provisioned hourly pricing and reservations
We are thrilled to unveil two innovative self-service purchasing options for PTUs:
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- With the ability to provision a deployment in just under an hour, you can enjoy a flexible pricing model that features a flat hourly rate of $2 per unit per hour, offering unparalleled cost-effectiveness. This model-agnostic pricing approach enables seamless deployment and deprovisioning of models, thereby offering unparalleled flexibility. That is ideal for testing and evaluating opportunities or situations without committing to a long-term commitment.
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- By providing a predictable and stable demand for computing resources, Azure OpenAI Service Provisioned Reservations yield significant financial benefits for manufacturers processing consistent volume requests in their production settings. By opting for a month-to-month or yearly reservation arrangement, you will enjoy the benefits of reduced costs compared to paying by the hour. With reservations no longer tied to specific fashion trends or deployment strategies, users enjoy unprecedented adaptability. This approach enables businesses to refine pricing strategies while maintaining flexibility to adjust fashion designs and deployment configurations as needed. .
Advantages for resolution makers
These upgrades aim to foster adaptability, amplify value effectiveness, and simplify usage, thereby empowering decision-makers to efficiently manage AI implementations.
- With self-service provisioning and hourly pricing, you’re empowered to scale your deployments up or down in response to rapidly changing needs without the burden of long-term commitments.
- Azure Reservations provide significant cost savings for long-term commitments, allowing for more precise budgeting and pricing control.
- Enhanced visibility and streamlined provisioning processes significantly reduce administrative overheads, freeing up your workforce to focus on high-impact strategic endeavors rather than tactical details.
Buyer success tales
Before introducing self-service options, customers started benefiting from the flexibility these choices offered.
- By capitalizing on the capabilities of Provisioned Throughput Units in conjunction with the Azure OpenAI Service, Visier Options has successfully augmented its AI-driven people analytics software, Vee. By leveraging PTUs, Visier delivers swift and consistent response times, crucial for handling the high volume of inquiries from its extensive customer base. The seamless integration of Visier’s innovative features with Azure’s robust infrastructure not only accelerates customer satisfaction by providing prompt and accurate insights, but also exemplifies Visier’s commitment to harnessing cutting-edge technology to propel transformative change in workforce analytics, ultimately revolutionizing the way organizations make data-driven decisions. .
- After switching from Commonplace Deployments to GPT-4 Turbo PTUs, we achieved a substantial reduction in response times, shrinking the interval from 10-20 seconds to a mere 2-3 seconds.
- Companies have experienced a significant enhancement in stability and reduction in latency since adopting Azure Professional Technical Units (PTUs), ultimately leading to increased operational efficiency.
- A significant reduction in latency, shrinking the time frame from 12-13 seconds to just 2-3 seconds, thereby significantly improving user interaction and engagement.
Unlocking boundless innovation through AI-infused cloud solutions.
These updates do not compromise the technical proficiency of provisioned deployments, allowing them to consistently deliver low and predictable latency. As a substitute, the company introduces an even more versatile and cost-effective procurement model, thereby making Azure OpenAI Service more accessible than ever. The barriers to entry have been significantly reduced with self-service provisioning, model-agnostic models, and hourly and reserved pricing options.
For in-depth insights on fortifying the dependability, security, and productivity of your cloud and AI initiatives, explore the additional resources below.
