Cerebras
@CerebrasSystems
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The world's fastest AI inference and training. Try the latest open models at: https://t.co/jREGhLI2nj
Sunnyvale, CA
Joined July 2016
đ§ Cerebras Inference self-serve is finally here đ§ â Pay by credit card starting at $10 â Run Qwen3 Coder, GPT OSS & more at 2,000+ TPS â 20x the speed of GPU-based model providers Go ahead. Melt our wafers. https://t.co/YfjxBGMl8i
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Try it on Fast Context playground https://t.co/MiLavKxKUf
playground.cognition.ai
Check out the Fast Context agent
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SWE-grep is truly some inspired ML from @cognition. Take a 1M line codebase like React. With multiple fast inference calls on Cerebras, it can fetch & explain relevant code in seconds. Here are a few measurements taken on React, Vercel, PyTorch repos.
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No tricks, just treats from our ML team. đť
(1/5) Compressing a 1T parameter MoE model by 50% with virtually no loss in quality is now possible. Our new paper with @mikelasby @lzrvch @NishSinnadurai Sean Lie and @yanii introduces an expert pruning criterion for one-shot compression that aims to solve the memory
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Cerebras is now powering Cognition's latest code retrieval models directly in @windsurf Context retrieval has been one of the biggest bottlenecks in agentic coding. When you ask an agent to work on a large codebase, it can spend 60% of its time just searching for relevant files.
Introducing SWE-grep and SWE-grep-mini: Cognitionâs model family for fast agentic search at >2,800 TPS. Surface the right files to your coding agent 20x faster. Now rolling out gradually to Windsurf users via the Fast Context subagent â or try it in our new playground!
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it's your classic late night coffeeshop, but the coffee bar's free and we hired jump scare actors but let's be real. nothing's scarier than NVIDIA's slow inference đť Presented by @CerebrasSystems @cognition @BainCapVC @arena
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Wanna hear a cool story? Our Oklahoma City datacenter was designed around water, not air. To keep our wafer-scale systems running at peak performance, we use a Tier III, 6,000-ton chilled-water plant inside a 100,000 sq ft F5-rated facility. Unlike traditional air-cooled
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At 7, I won scariest halloween costume. So naturally, weâre going all out for the next Cafe Compute â jump actors, face painters, trick-or-treating, and a live DJ SFâs first late-night coffee shop for engineers, founders & writers. Join @CerebrasSystems, @BainCapVC & @arena on
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Join Neha Gupta, Chief Financial Officer at Core42, and Julie Choi, Chief Marketing Officer at @CerebrasSystems, for an exclusive fireside chat exploring how Core42 Compass, accelerated by Cerebras, is redefining real-time AI for enterprise use cases from accelerating OSS model
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Not sure what events to go to for AI Tech week? Our intern @KevinTaylor00 used @browser_use to scrape all of the events in record time. With Cerebras, the agents can now take 30+ steps per minute. âĄď¸Go give it a try. It's super fast âĄď¸
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It's a good model
Finally, our open-source GLM-4.6 are trending no. 1 on HF. Thanks to all for the support. We are working on the next version and stay tuned!
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Featuring an exclusive fireside chat with @andrewdfeldman: The Worldâs Fastest AI Inference â Accelerating the Future of Agents and Reasoning
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The fastest inference in the world is coming to the worldâs largest technology exhibition. Meet us at @GITEX_GLOBAL. đ Hall 3 | Booth H3-B12 đ
13 â 17 October 2025 đ Dubai World Trade Centre (DWTC)
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On Friday, Cerebras withdrew our S-1. It had become stale and no longer reflected the current state of our business. Our business and financial position have evolved significantly for the better since our initial filing in 2024: ⢠In 2024, we achieved record revenues. ⢠In
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(1/4) @CerebrasSystems Hot off the presses đĽđ https://t.co/ahPvKCFN9g If you're spending $1B to train an LLM, you need to know itâs on trackâevery step of the way. With optimal AdamW Ď + fixed TPP, loss curves collapse to a universal path â an early-warning signal for training.
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Cerebras CEO @andrewdfeldman joined Caroline Hyde and Ed Ludlow on Bloomberg @technology  to discuss how our wafer-scale chips and $1.1B Series G round are reshaping the future of AI infrastructure. đşÂ Watch the full conversation: https://t.co/H2OqClVC3c
bloomberg.com
Cerebras Systems CEO Andrew Feldman discusses how the AI chip maker plans to use the capital from its latest $1.1 billion funding round and what the raise means for the companyâs IPO ambitions. He...
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