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"You could imagine yourself actually being 10x more productive." Nolan Dey from the Cerebras Core ML team speaks with Alycia Cary on why speed contributes to intelligence. In agentic workloads like Claude Code, queries can run for hours. Faster inference means more test time compute in the same budget.

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Cerebras

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132,844 görüntüleme • 1 ay önce •via X (Twitter)

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Cerebras1 ay önce

Watch the full conversation:

Alice The Ai Expert profil fotoğrafı
Alice The Ai Expert1 ay önce

@DeyNolan @alyciazcary Faster inference unlocks deeper thinking, 10x productivity.

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AI Mastery Guide1 ay önce

@DeyNolan @alyciazcary Speed feeding into intelligence is an interesting way to frame it.

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Adel Bucetta1 ay önce

@DeyNolan @alyciazcary the honest answer is that most people don't actually need to be 10x more productive, they just need the tools to handle their current workload without breaking a sweat

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Nathan Helmig1 ay önce

@DeyNolan @alyciazcary dont post unless its about sol running at 750t/s or deepseek v4 flash 0731 running at 1000t/s. Also that you can serve all the demand that would mean. Thats all the market wants to hear from you.

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RAZA | AI EXPLORER1 ay önce

@DeyNolan @alyciazcary Speed is becoming a core part of intelligence.

Noor Tech profil fotoğrafı
Noor Tech1 ay önce

@DeyNolan @alyciazcary Cerebras is making the case that speed isn't just a perk-it's the foundation of real Al intelligence

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Ainul Irfan1 ay önce

@DeyNolan @alyciazcary Halo

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🎁 We're giving away 5 Windsurf plans ($250 credit each)! Try SWE-1.6 — Cognition’s latest fast and intelligent agentic coding model, powered by Cerebras. In a side-by-side with Claude, the speed difference is clear. More iterations, faster fixes, better code. 💬Comment why you want access to enter. Five winners will be selected at random within 48 hours.
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🎁 We're giving away 5 Windsurf plans ($250 credit each)! Try SWE-1.6 — Cognition’s latest fast and intelligent agentic coding model, powered by Cerebras. In a side-by-side with Claude, the speed difference is clear. More iterations, faster fixes, better code. 💬Comment why you want access to enter. Five winners will be selected at random within 48 hours.

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Introducing ⚡️Cerebras MCP Server ⚡️ You can now turbocharge any AI editor that uses MCP for tool calling with 20x faster inference. Here is Claude Code writing files at breakneck speed via Cerebras. Get started now 👇

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NVIDIA paid $20B for Groq. AWS partnered with Cerebras for the same purpose. A quick breakdown of why disaggregated inference is the next thing in AI infrastructure.
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NVIDIA paid $20B for Groq. AWS partnered with Cerebras for the same purpose. A quick breakdown of why disaggregated inference is the next thing in AI infrastructure.

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New Release: Claudex Mode For the first time in mankind claude code and codex will be on the same team On the Blackbox CLI you can send the same task for Claude Code to implement and Codex to verify and test. You can choose more ways where they can collaborate on the same task to get the highest level of performance on your tasks
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New Release: Claudex Mode For the first time in mankind claude code and codex will be on the same team On the Blackbox CLI you can send the same task for Claude Code to implement and Codex to verify and test. You can choose more ways where they can collaborate on the same task to get the highest level of performance on your tasks

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🚨 Big news! Cerebras is launching six new AI data centers across North America & Europe. This expands our capacity to 40M+ tokens/sec, making Cerebras the first hyperscale cloud for high-speed AI inference. Read more:

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Running GPT-5.6 Sol Ultrafast on Cerebras, Matthew Berman saw his workflow flip: fewer parallel agents, same productivity, lower mental load. When tokens stop being the bottleneck, the rest of the stack becomes the next layer to optimize. Faster inference opens that door.
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Running GPT-5.6 Sol Ultrafast on Cerebras, Matthew Berman saw his workflow flip: fewer parallel agents, same productivity, lower mental load. When tokens stop being the bottleneck, the rest of the stack becomes the next layer to optimize. Faster inference opens that door.

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Qwen3.8-27B is now live at Cerebras speed. The dense, open-weight model from Qwen scores 34 on the Artificial Analysis Intelligence Index—making it comparable to models such as GPT-5.6 Luna, DeepseekV4 Pro, and Claude Sonnet 4.6.
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Qwen3.8-27B is now live at Cerebras speed. The dense, open-weight model from Qwen scores 34 on the Artificial Analysis Intelligence Index—making it comparable to models such as GPT-5.6 Luna, DeepseekV4 Pro, and Claude Sonnet 4.6.

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GLM-4.7 from Z.ai is live on Cerebras! - Frontier intelligence for coding, tool-driven agents, and multi-turn reasoning - Record coding speed: ~1,000 tokens per second (up to 1,700 TPS for other uses) - Strong price-performance: ~10x higher than Sonnet 4.5

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🟧 Cerebras Inference self-serve is finally here 🟧 – Pay by credit card starting at $10 – Run Qwen3 Coder, GPT OSS & more at 2,000+ TPS – 20x the speed of GPU-based model providers Go ahead. Melt our wafers.

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52,825 görüntüleme • 11 ay önce

Cerebras Code: 20x faster than Claude, 1x the price Today we are launching two monthly coding plans: ➡️Cerebras Code Pro: $50/m – for indie developers ➡️Cerebras Code Max: $200/m – for power users with 5x rate limits Both plans get: Qwen3-Coder at 2,000 tokens/s, 131K context, and no weekly limits. Sign up now:
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Cerebras Code: 20x faster than Claude, 1x the price Today we are launching two monthly coding plans: ➡️Cerebras Code Pro: $50/m – for indie developers ➡️Cerebras Code Max: $200/m – for power users with 5x rate limits Both plans get: Qwen3-Coder at 2,000 tokens/s, 131K context, and no weekly limits. Sign up now:

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Previewing Ultrafast mode for OpenAI's GPT 5.6 Sol, powered by Cerebras. GPT-5.6 Sol Ultrafast generates responses at up to 750 tokens per second. That's the full, GPT-5.6-Sol model -- up to 14× faster than the same model on Standard processing. It speedran Humanity’s Last Exam in 11h 11m, nearly 7× faster than Claude Fable 5 with comparable accuracy.

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🚨 Cerebras Inference is now 3x faster: Llama3.1-70B just broke 2,100 tokens/s - 16x faster than the fastest GPU solution - 8x faster than GPUs running Llama *3B* - It's like the perf of a new hardware generation in a single software release Available now at
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🚨 Cerebras Inference is now 3x faster: Llama3.1-70B just broke 2,100 tokens/s - 16x faster than the fastest GPU solution - 8x faster than GPUs running Llama *3B* - It's like the perf of a new hardware generation in a single software release Available now at

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"You now have new surface area to expose the benefits of the silicon in new ways. We had some really amazing results when doing this over a huge amount of different silicon. Cerebras was unbelievably good. We could actually not only improve the speed by a significant amount in these long-context reasoning problems, we also found that we could also make them very cost-effective because we're being efficient with the tokens." — Danyal, co-founder of Callosum, in conversation with our Andy Hock on the new Cerebras-Callosum partnership.
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"You now have new surface area to expose the benefits of the silicon in new ways. We had some really amazing results when doing this over a huge amount of different silicon. Cerebras was unbelievably good. We could actually not only improve the speed by a significant amount in these long-context reasoning problems, we also found that we could also make them very cost-effective because we're being efficient with the tokens." — Danyal, co-founder of Callosum, in conversation with our Andy Hock on the new Cerebras-Callosum partnership.

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📣 ANNOUNCEMENT DAY AT CEREBRAS 📣 Today, we are thrilled to share some of the biggest announcements in our company’s history. 📢 Cerebras announces CS-3, the world’s fastest AI Chip with a whopping 4 trillion transistors 📢 Cerebras selects Qualcomm to deliver unprecedented performance in AI Inference 📢 Cerebras and G42 break ground on Condor Galaxy 3, an 8 exaFLOPs AI Supercomputer Read all about it! 📰 CS-3 Press Release: 📰 Cerebras + Qualcomm Press Release: 📰 Condor Galaxy 3 Press Release: #AI #Supercomputer #ExaFLOPs #ML #Training #Inference

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Introducing the Cerebras Ambassador Program 🌏 We're looking for AI community builders to build your local ecosystem around the world's fastest inference. In the last few months, our community has hosted Cafe Compute Meetups in Berlin, Mexico City, Mumbai, SF, Seattle, and NYC. We want your city to be next! Application link in comments.
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Introducing the Cerebras Ambassador Program 🌏 We're looking for AI community builders to build your local ecosystem around the world's fastest inference. In the last few months, our community has hosted Cafe Compute Meetups in Berlin, Mexico City, Mumbai, SF, Seattle, and NYC. We want your city to be next! Application link in comments.

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🎂 Cerebras Inference turns 1! 🚀 Let's break it down: - 6x faster than when we launched — From Meta Llama to Qwen 3 to OpenAI OSS, models running on Cerebras deliver 𝟯,𝟬𝟬𝟬+ 𝘁𝗼𝗸𝗲𝗻𝘀/𝘀𝗲𝗰 - Our inference powers the best AI natives, global enterprises, and developers including Meta, IBM , AlphaSense, Docker, GSK , Mayo Clinic, Core42, Vercel and more - Largest model served: ~half a trillion parameters, 7x bigger than launch - #1 provider of tokens on Hugging Face 🤗 - Serving billions of tokens per day on - The leading code gen inference provider, powering AI developers with Cline and Windsurf (retired) We’re just getting started… but couldn’t have done Year 1 without YOU. Build on, builders. ❤️‍🔥
0:39

🎂 Cerebras Inference turns 1! 🚀 Let's break it down: - 6x faster than when we launched — From Meta Llama to Qwen 3 to OpenAI OSS, models running on Cerebras deliver 𝟯,𝟬𝟬𝟬+ 𝘁𝗼𝗸𝗲𝗻𝘀/𝘀𝗲𝗰 - Our inference powers the best AI natives, global enterprises, and developers including Meta, IBM , AlphaSense, Docker, GSK , Mayo Clinic, Core42, Vercel and more - Largest model served: ~half a trillion parameters, 7x bigger than launch - #1 provider of tokens on Hugging Face 🤗 - Serving billions of tokens per day on - The leading code gen inference provider, powering AI developers with Cline and Windsurf (retired) We’re just getting started… but couldn’t have done Year 1 without YOU. Build on, builders. ❤️‍🔥

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35,218 görüntüleme • 1 yıl önce

Elon Musk gives the xAI scaling law behind Grok 5: 10x more compute, 2x intelligence "In terms of training Grok 5, you're scaling up your supercluster in Colossus in Memphis." "If you throw twice as much compute at it, do you get a 10% better model, do you get 100% better model?" "I think there's a natural logarithmic function associated with the amount of compute." "Say for argument's sake, 10x more compute will double the intelligence." "That still means that you go from 100 IQ to 200 IQ. Still pretty big deal." Most people talk about compute like it is a budget line. Elon is talking about it like a conversion rate: capital into intelligence. If that curve holds, the company with the biggest cluster is not just buying faster training runs. It is buying jumps in capability that feel discontinuous to everyone else. - Elon Musk (Elon Musk), CEO of xAI, on All-In Summit (The All-In Podcast)
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Elon Musk gives the xAI scaling law behind Grok 5: 10x more compute, 2x intelligence "In terms of training Grok 5, you're scaling up your supercluster in Colossus in Memphis." "If you throw twice as much compute at it, do you get a 10% better model, do you get 100% better model?" "I think there's a natural logarithmic function associated with the amount of compute." "Say for argument's sake, 10x more compute will double the intelligence." "That still means that you go from 100 IQ to 200 IQ. Still pretty big deal." Most people talk about compute like it is a budget line. Elon is talking about it like a conversion rate: capital into intelligence. If that curve holds, the company with the biggest cluster is not just buying faster training runs. It is buying jumps in capability that feel discontinuous to everyone else. - Elon Musk (Elon Musk), CEO of xAI, on All-In Summit (The All-In Podcast)

Karl Mehta

86,246 görüntüleme • 2 ay önce

We gave two agents the same task: “Find images matching this description.” Both use Gemma 4 31B. One runs on Cerebras. The other runs on GPUs. You can see the difference. Speed changes the product experience. What would you build if you didn't have to wait?
1:11

We gave two agents the same task: “Find images matching this description.” Both use Gemma 4 31B. One runs on Cerebras. The other runs on GPUs. You can see the difference. Speed changes the product experience. What would you build if you didn't have to wait?

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142,426 görüntüleme • 2 ay önce

10 academic papers. Parsed, analyzed, and synthesized. In under 10 seconds. We built a research agent with Cerebras Inference and Unstructured that processes entire literature reviews so you become a subject expert faster
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10 academic papers. Parsed, analyzed, and synthesized. In under 10 seconds. We built a research agent with Cerebras Inference and Unstructured that processes entire literature reviews so you become a subject expert faster

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