Cerebras and Oracle Team Up to Bring Cerebras AI Inference to Oracle Cloud Infrastructure
Key Highlights
- ➤Cerebras and Oracle plan to bring Cerebras AI inference to OCI
- ➤Cerebras Inference on OCI is planned for calendar year 2027
- ➤Partnership adds another ultrafast, deterministic AI compute option for OCI customers
- ➤Cerebras Wafer-Scale Engine integrates compute and memory on one processor
Expert Statements
Andrew Feldman, Co-founder and CEO of Cerebras
“People want AI that can do valuable work quickly”
Andrew Feldman, Co-founder and CEO of Cerebras
“Every step an agent makes requires inference, whether it’s reasoning, checking its work, or taking action. The faster the inference, the more work AI can do without making users wait. Bringing Cerebras fast inference to Oracle Cloud Infrastructure gives AI labs, enterprises, and developers the speed to build agents that do more, faster.”
Mahesh Thiagarajan, President, Oracle Cloud Infrastructure, Oracle
“AI inference demands choice”
Mahesh Thiagarajan, President, Oracle Cloud Infrastructure, Oracle
“As agents take on more complex work, customers demand compute that matches each application’s performance needs. Bringing Cerebras’ inference to Oracle CIoud Infrastructure will add another ultrafast and deterministic option to our broad compute portfolio, helping customers build agents that respond quickly and tackle demanding tasks.”
LAS VEGAS, Oct. 27, 2026 (GLOBE NEWSWIRE) -- Cerebras Systems (NASDAQ: CBRS) and Oracle today announced plans to make Cerebras’ fast inference available on Oracle Cloud Infrastructure (OCI) for AI labs, enterprises, and developers building interactive, intelligent applications. The partnership builds on Oracle’s existing infrastructure and AI inference capabilities, which include Dedicated AI Clusters in OCI Enterprise AI.
As AI applications take on more complex, multi-step work, inference speed becomes critical to the user experience. Each additional AI model call adds latency, which can slow agentic workflows that reason and act across multiple steps. Faster inference enables developers to build agents and applications that remain responsive, even as they execute more sophisticated tasks.
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