Paying more. Running slower? If that’s your current setup… maybe it’s time we talked. https://
cerebras.ai/build-with-us
@cerebras
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Cerebras Offers More Performance at Lower Costs
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Developers share AI model preferences for faster inference engine
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Calling all developers! Which models are you most excited to use next?
Are you building with tool calling, multimodal capabilities, or long context windows? We’re building the fastest inference engine for real-time AI, and we want your input to help shape what comes next. -
60% Compute Savings Achievement for Large Model Training
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The result: up to 60% compute savings (!)
That’s a massive impact for training large models efficiently. -
PAYGO AI Access Through Hugging Face Developer Enterprise Tiers
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we offer PAYGO through Hugging Face and have several developer and enterprise tiers. Just ping us!
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Cerebras Customers Already Running 128k Token Models
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yes – already have customers using 128k on cerebras
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Hugging Face Partnership Enables Real-Time AI Agents and Code Generation
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Our partnership with @huggingface allows developers to unlock new possibilities for real-time agents, code-generation tools, multilingual assistants, and more. Get instant access to the fastest open-weight inference on the planet—including @AIatMeta Llama 4 on the Cerebras
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Cerebras Delivers 19x Faster Code Generation with Llama 4
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Subsecond code generation in action. 👀
— Cerebras (@cerebras) 9 avril 2025
Same prompt. Same output. Just 19x faster. Cerebras powers the fastest @AIatMeta Llama 4.
Get Access now: https://t.co/isthZ2Xau4 pic.twitter.com/7xzU7Tevf8Subsecond code generation in action. Same prompt. Same output. Just 19x faster. Cerebras powers the fastest @AIatMeta Llama 4. Get Access now: https://
cerebras.ai/build-with-us -

Llama 4 Achieves Record 2611 Tokens Per Second on Cerebras
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Llama 4 is now live on Cerebras!
– We broke the perf chart again at 2,611 tokens/s
– 19x faster than the leading GPU cloud
– Only API in the world with <1s total response time
Try now: https://
inference.cerebras.ai -
Cerebras CS-3 Cluster Installed at Edinburgh University
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Cerebras and @EdinburghUni have completed the successful installation and service start of a Cerebras CS-3 system cluster, operated by @EPCCed
, the University’s supercomputing center and part of the Edinburgh International Data Facility. The cluster consists of four CS-3s, -
Cerebras Technology Simplifies Large-Scale AI Model Training at EPCC
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Cerebras technology will eliminate the need for complex parallel programming, making it easier and more accessible for scientists and ML practitioners from every discipline to train and use powerful AI models. EPCC can now: Train models from 240B to 1T parameters