Cerebras beats Nvidia H100 but can it beat Blackwell? Blackwell inference endpoints are finally out and it’s fast. It runs GPT-OSS-120B at ~700 tokens/s, leapfrogging H100 and Groq. Cerebras clocked in at 3,000 TPS – still #1. Looking forward to Rubin!
@cerebras
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Windsurf’s 20x Faster AI-Powered Codebase Search Behind Scenes
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Behind the scenes with @swyx on how @windsurf built 20x faster search over your codebase pic.twitter.com/pt0ENofvzb
— Cerebras (@cerebras) 5 novembre 2025Behind the scenes with @swyx on how @windsurf built 20x faster search over your codebase
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Cognition SWE-1.5 Speed Optimizations Reach 1881 Tokens
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Just deployed additional speed optimizations for @cognition SWE-1.5. The fastest measured request was an eye watering 1,881 token/s per Grafana dashboard.
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Frontier Models vs GPT Codex: Speed to Success Comparison
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Even frontier models fail all the time. The difference is we fail in 15 sec and with one more prompt you get the right answer. Time to success = 30 sec. On GPT Codex it takes 22min just to find out it failed.
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Cerebras Introduces Code Platform for AI Development
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https://
cerebras.ai/blog/introduci
ng-cerebras-code
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SWE-1.5 fastest coding agent released by Cognition Cerebras
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Today, @cognition released SWE-1.5 – the world’s fastest coding agent, powered by Cerebras. SWE-1.5 achieves frontier-level coding ability, comparable to Sonnet 4.5 and surpassing GPT-5. Cerebras and Cognition engineers worked hand in hand over the past few weeks, training a
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OpenAI Releases GPT-OSS-Safeguard Open-Weight Model
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GPT-OSS-Safeguard from @OpenAI is here. Open-weight, safety-tuned, transparent reasoning. Now available in private preview at Cerebras speeds https://
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SWE-grep: ML-Powered Code Search and Explanation Tool
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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.
