How can we help you?

Once you reach the "Develop" Level in Founders Hub, you have unlimited access to pairing sessions with Azure Engineers who provide guidance as you build. This can be anything from a quick 30-min discussion on choosing the right products to a 4-hour architectural review or infrastructure optimization consultation.

To book your first session:

1. Log into the portal: https://foundershub.startups.microsoft.com/
2. Navigate to the Guidance tab
3. Click on 'Get paired with an advisor' --> complete the form and submit request
4. Our team will reach out within 1 business day

Startups in the Develop, Grow, and Scale stages have unlimited, complimentary access to a range of 1:1 Azure advisory services including choosing products, as well as expert advice as you architect and optimize. To request your first session, log into Founders Hub at https://foundershub.startups.microsoft.com/login --> Guidance --> "Get paired with an advisor."

• Choosing an Azure Compute Service: https://learn.microsoft.com/en-us/azure/architecture/guide/technology-choices/compute-decision-tree
• Architecture templates: https://learn.microsoft.com/en-us/azure/architecture/browse
• Reactor Events: https://developer.microsoft.com/en-us/reactor
• Learn: https://learn.microsoft.com/en-us/azure/?product=popular

Yes, all 1st-party Azure cloud services are covered by sponsorship credits. For more details, refer to this article: https://foundershubsupportcenter.powerappsportals.com/article/KA-01025.

ADDITIONAL RESOURCES

• Microsoft Mechanics Walkthrough video: https://www.youtube.com/watch?v=3t3qZu1Dy1k
• Azure OpenAI Pitch Video: https://aka.ms/AOAI-PitchVideo
• Technical Demo Video: https://aka.ms/AOAI-DemoVideo
• Azure OpenAI Product Page: https://azure.microsoft.com/en-us/products/cognitive-services/openai-service
• See more at the Azure AI GearUp page: https://aka.ms/AOAI

The rate limits in Azure Open AI are defined by TPM (Tokens-Per-Minute) and RPM (Requests-Per-Minute). The TPM quota determines the maximum number of tokens that can be processed by a model deployment per minute. The RPM is now intrinsically linked to TPM, indicating that the two metrics are no longer considered separately. The relationship between TPM and RPM is 6 RPM per 1K TPM for quota. This means that for every 1,000 TPM, you have a maximum of 6 RPM available.

The Tokens-Per-Minute (TPM) refers to the rate limit assigned to deployments in Azure Open AI. It represents the maximum number of tokens that can be processed by a model deployment per minute. On the other hand, the context length of a model refers to the maximum number of tokens that can be included in the input text for a single API call. The TPM rate limit is enforced based on the assigned TPM value, while the context length determines the maximum size of the input text that can be processed by the model.

It's important to note that the TPM allocation is not related to the max input token limit of a model.

Azure OpenAI doesn't use customer data to retrain models.

Your prompts (inputs) and completions (outputs), your embeddings, and your training data:

• are NOT available to other customers
• are NOT available to OpenAI
• are NOT used to improve OpenAI models
• are NOT used to improve any Microsoft or 3rd party products or services
• are NOT used for automatically improving Azure OpenAI models for your use in your resource (The models are stateless, unless you explicitly fine-tune models with your training data)

Your fine-tuned Azure OpenAI models are available exclusively for your use.

GPUs are in high demand; therefore, we encourage flexibility with region and SKU. To understand our range of GPUs SKUs, read more at https://learn.microsoft.com/en-us/azure/virtual-machines/sizes-gpu.