OpenAI has struck a major infrastructure partnership aimed at dramatically speeding up how its artificial intelligence models respond in real-time.
The ChatGPT creator says it is integrating compute capacity from Nvidia challenger Cerebras, a specialized hardware firm known for building purpose-built AI systems designed to accelerate long-form outputs and eliminate inference bottlenecks common in conventional hardware.
Inference is the process of running a trained AI model to make predictions on new, unseen data.
The integration centers on inference speed. OpenAI says that faster response times fundamentally change how users interact with AI, especially when generating code, images or running autonomous agents that require multiple back-and-forth steps between user and model.
Behind every AI interaction is a loop. A user sends a request, the model processes it and the system returns an output. OpenAI says reducing latency in that loop leads to higher engagement, longer sessions and more complex, higher-value workloads.
Says Sachin Katti, head of compute infrastructure at OpenAI,
“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.”
Andrew Feldman, co-founder and chief executive of Cerebras, says the partnership positions its technology at the center of next-generation, real-time AI use cases, where speed and responsiveness become defining features rather than optimizations.
“Just as broadband transformed the internet, real-time inference will transform AI, enabling entirely new ways to build and interact with AI models.”
OpenAI says the new low-latency capacity will be integrated into its inference stack in phases, expanding across workloads as additional tranches of compute come online through 2028.
The deal is reportedly worth $10 billion and positions Cerebras as a key alternative to dominant AI hardware providers such as Nvidia.
Inference is now widely viewed as the next battleground for frontier language models as companies race to acquire and retain users. Just last month, Nvidia signed a $20 billion non-exclusive licensing agreement with Groq to control the next phase of AI inference.
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