Illustration:Justin Jay Wang
We’re working with Microsoft to start running most of our large-scale experiments on Azure. This will make Azure the primary cloud platform that OpenAI is using for deep learning and AI, and will let us conduct more research and share the results with the world.
One of the most important factors for accelerating our progress is accessing more and faster computers; this is particularly true for emerging AI technologies like reinforcement learning andgenerative models. Azure has impressed us by building hardware configurations optimized for deep learning—they offer K80 GPUs with InfiniBand interconnects at scale. We’re also excited by their roadmap, which should soon bring Pascal GPUs onto their cloud.
In the coming months we will use thousands to tens of thousands of these machines to increase both the number of experiments we run and the size of the models we train.
We’ll share the results of this partnership with everyone: along with publishing our research results, we’ll continue releasing open-source software making it easier for people to run large-scale AI workloads on the cloud. We’ll also be giving feedback to the Microsoft team so that Azure’s capabilities keep pace with our understanding of AI.
It’s great to work with another organization that believes in the importance ofdemocratizing access to AI(opens in a new window). We’re looking forward to accelerating the AI community through this partnership.
It’s great to work with another organization that believes in the importance ofdemocratizing access to AI(opens in a new window). We’re looking forward to accelerating the AI community through this partnership.
* Partnerships
Authors
Greg Brockman, Ilya Sutskever, Sam Altman
Related articles
View all
Embedding AI into developer software Mar 21, 2024
Building a data-driven, efficient culture with AI Mar 18, 2024
Reimagining the email experience with AI Mar 18, 2024
Reimagining the email experience with AI Mar 18, 2024