Unleash AI Power: Azure OpenAI Global Batch Now Generally Available!

Process Massive Tasks Faster and Cheaper

We’re thrilled to announce the general availability of Azure OpenAI Global Batch, a revolutionary tool for handling large-scale, high-volume AI tasks efficiently.

Here’s what sets it apart:

Effortless Scalability: Process asynchronous requests in batches, with a separate quota to avoid disruptions.
Blazing Speed: Get results in around 24 hours, a significant improvement over traditional methods.
Unbeatable Cost Savings: Enjoy 50% lower costs compared to the standard global offering.

Real-World Impact: Faster Medical Insights

“Azure OpenAI Batch has been a game-changer for Ontada,” says Sagran Moodley, their Chief Innovation and Technology Officer.
“We can now process millions of unstructured documents in a week, what previously took months. This empowers us to extract vital clinical data, accelerating evidence-based medicine and R&D for life science products. Partnering with Microsoft, we’re pushing the boundaries of AI-driven oncology research, paving the way for personalized cancer care and drug development.”

Dynamic Quota: Never Hit a Wall Again

Say goodbye to quota limitations! The new dynamic quota feature automatically allocates extra processing power when available, ensuring seamless operation.

Supported Models:

gpt4o (multiple versions)

gpt-4o-mini

gpt-4 (various versions)

gpt-35-turbo (multiple versions)

Discover Countless Possibilities:

The Azure OpenAI Batch API unlocks a world of potential across industries:

Large-scale data processing

Content generation

Document review and summarization

Customer support automation

Data extraction and analysis

Get Started Today!

Ready to experience the power of Azure OpenAI Batch? Try it out here and unlock a new era of AI-powered efficiency!

For more information:

Supported regions and models

Using images within your batch input

Default batch token quota and increase requests

Sources: Techcommunity.microsoft.com, Cyber Defense Forum, Wikipedia, Internet Archive, Undercode Ai & Community
Image Source: OpenAI, Undercode AI DI v2Featured Image