Maximize Your Performance with PTUs

In the artificial intelligence ecosystem, flow management plays a crucial role in ensuring the performance of deployed models. One of the fundamental concepts in this field is the”supplied flow“. But what does that actually mean and how can it benefit businesses and developers? In this article, we'll take an in-depth look at provisioned flow, how it works, its benefits, and how to access it.

What is provisioned flow?

The supplied flow is a specific pre-allocated capacity that allows users to determine the amount of throughput required for their artificial intelligence model deployments. In concrete terms, this means that the required processing resources are reserved and available, regardless of whether they are used or not. This method ensures predictable performance with controlled maximum latency, even for variable workloads.

What are the advantages of supplied throughput?

➡️ Predictable performance : With the supplied flow, users benefit from consistent maximum latencies and stable throughput, even for fluctuating workloads. This ensures a consistent and reliable user experience.

➡️ Reserved processing capacity : Once deployed, throughput is reserved and available, offering increased flexibility to manage peak loads and traffic fluctuations without compromising performance.

➡️ Cost savings : In comparison to token-based consumption models, the supplied flow can result in significant cost savings, especially for high-throughput workloads.

How do I access the supplied debit?

Access to supplied flow is done through your sales team or Microsoft accounts. If you are interested in this offer, it is recommended that you contact your team for specific information on availability and pricing.

Key concepts to remember

➡️ Provisioned flow units : PTUs (Provisioned Throughput Units) represent the unit of model processing capacity reserved for a specific deployment. Each model and version requires different quantities of PTU.

➡️ Deployment types : Deploying a model in Azure OpenAI requires the specification of the deployment type”Provisioned-Managed“, with the assigned PTU capacity.

➡️ Quota : The provisioned throughput quota is specific to a triplet (deployment type, model, region) and is managed at the subscription level.

Next steps

To determine how many PTUs are needed for a specific workload, it is recommended that you use the Azure Open capacity calculatorAI, which allows workload shapes to be precisely sized.

In conclusion, the supplied flow offers an effective solution to ensure consistent performance, reserved processing capacity, and cost savings in the field of artificial intelligence. By understanding its benefits and accessing this feature, businesses and developers can optimize the efficiency of their AI model deployments, while providing a high-quality user experience.