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Gimlet Labs Adds Cerebras to Deliver Ultrafast AI Inference through Gimlet Cloud Learn more >>

Sep 28 2026

Cerebras to supply AI systems to cloud computing startup Gimlet Labs

SAN FRANCISCO, Sept 28 (Reuters) - Cerebras Systems (CBRS.O), opens new tab plans to supply AI chips and hardware with capacity to consume roughly 100 megawatts to startup ​Gimlet Labs to help run its cloud computing business, the ‌companies said on Monday.The deal between Gimlet and Cerebras is part of rising interest from AI companies in procuring hardware that is capable of speedy AI calculations known ​as inference, the process in which a chatbot such as Anthropic's ​Claude generates a response to a user question.

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Performing inference operations speedily ⁠can help in areas such as cybersecurity, voice applications and financial ​analysis, Gimlet CEO Zain Asgar said in an interview with Reuters. For this ​hardware, Gimlet plans to target selling to companies and startups that are building their entire products around AI in some way, Asgar said.Gimlet plans to use the Cerebras hardware ​to run so-called frontier models — the cutting-edge AI models — that require enormous ​amounts of computing power to run speedily.Cerebras plans to supply its CS-4 systems, which it ‌unveiled ⁠over the summer, over one to two years, its CEO, Andrew Feldman, said. Gimlet plans to make the CS-4 hardware available in its cloud in 2027, the company said.The deal is "further validation from Cerebras ... of how easy it is ​to deploy, even ​in heterogeneous environments," ⁠Feldman said, referring to installing the hardware alongside chips and systems from other companies.Cerebras and Gimlet declined to disclose ​the financial terms of the deal. Gimlet will be ​responsible for ⁠maintaining and operating the systems once delivered by Cerebras.OpenAI and companies such as Nvidia have recognized the importance of the ability to perform speedy inference. Earlier ⁠this ​year, Cerebras signed a deal to supply ​OpenAI with chips. And last year, Nvidia signed a licensing deal with Groq for the company's chips ​and hardware.

Performance comparisons are based on third-party benchmarking or internal testing. Observed inference speed improvements versus GPU-based systems may vary depending on workload, configuration, date and models being tested.

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