Categories: FAANG

OpenAI and Microsoft Extend Partnership

We’re happy to announce that OpenAI and Microsoft are extending our partnership.

This multi-year, multi-billion dollar investment from Microsoft follows their previous investments in 2019 and 2021, and will allow us to continue our independent research and develop AI that is increasingly safe, useful, and powerful.

In pursuit of our mission to ensure advanced AI benefits all of humanity, OpenAI remains a capped-profit company and is governed by the OpenAI non-profit. This structure allows us to raise the capital we need to fulfill our mission without sacrificing our core beliefs about broadly sharing benefits and the need to prioritize safety.

Microsoft shares this vision and our values, and our partnership is instrumental to our progress.

  • We’ve worked together to build multiple supercomputing systems powered by Azure, which we use to train all of our models. Azure’s unique architecture design has been crucial in delivering best-in-class performance and scale for our AI training and inference workloads. Microsoft will increase their investment in these systems to accelerate our independent research and Azure will remain the exclusive cloud provider for all OpenAI workloads across our research, API and products.
  • Learning from real-world use—and incorporating those lessons—is a critical part of developing powerful AI systems that are safe and useful. Scaling that use also ensures AI’s benefits can be distributed broadly. So, we’ve partnered with Microsoft to deploy our technology through our API and the Azure OpenAI Service—enabling enterprise and developers to build on top of GPT, DALL·E, and Codex. We’ve also worked together to build OpenAI’s technology into apps like GitHub Copilot and Microsoft Designer.
  • In an effort to build and deploy safe AI systems, our teams regularly collaborate to review and synthesize shared lessons—and use them to inform iterative updates to our systems, future research, and best practices for use of these powerful AI systems across the industry.

We look forward to continued collaboration and advancing this progress with Microsoft.

AI Generated Robotic Content

Recent Posts

An Introduction to Loop Engineering

It's tempting to treat loop engineering as something invented in a single week in June,…

19 hours ago

Best practices for applying Amazon Bedrock Guardrails to code generation workflows

This post continues our series on best practices with Amazon Bedrock Guardrails. For the previous…

19 hours ago

The Blueprint: How Voicify makes AI-enabled ordering a delight for customers

Welcome to The Blueprint, a new feature where we highlight how Google Cloud customers are…

19 hours ago

An FDA Panel Just Endorsed These Unproven Peptides

Outside experts—some with a vested interest in peptides—recommended adding a number of the amino acids…

20 hours ago

AI extracts hidden material rules from microscopic data to predict large-scale behavior

Researchers from the National University of Singapore (NUS) have developed artificial intelligence (AI) methods that…

20 hours ago

AI Teammates: how monday.com runs production AI agents on Amazon Bedrock

AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in…

2 days ago