Cerebras builds purpose-built AI systems to accelerate long outputs from AI models. Its unique speed comes from putting massive compute, memory, and bandwidth together on a single giant chip and eliminating the bottlenecks that slow inference on conventional hardware.
Integrating Cerebras into our mix of compute solutions is all about making our AI respond much faster. When you ask a hard question, generate code, create an image, or run an AI agent, there is a loop happening behind the scenes: you send a request, the model thinks, and it sends something back. When AI responds in real time, users do more with it, stay longer, and run higher-value workloads.
We will integrate this low-latency capacity into our inference stack in phases, expanding across workloads.
“OpenAI’s compute strategy is to build a resilient portfolio that matches the right systems to the right workloads. Cerebras adds a dedicated low-latency inference solution to our platform. That means faster responses, more natural interactions, and a stronger foundation to scale real-time AI to many more people,” said Sachin Katti of OpenAI.
“We are delighted to partner with OpenAI, bringing the world’s leading AI models to the world’s fastest AI processor. Just as broadband transformed the internet, real-time inference will transform AI, enabling entirely new ways to build and interact with AI models,” said Andrew Feldman, co-founder and CEO of Cerebras.
The capacity will come online in multiple tranches through 2028.
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