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The world's fastest AI inference and training. Try the latest open models at: https://t.co/jREGhLI2nj

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Cerebras and CrowdStrike are partnering to power Falcon AIDR on the world’s fastest inference. AI attacks move in seconds, and cybersecurity can’t wait in a queue. Together, CrowdStrike and Cerebras are enabling security AI to detect, reason, and respond at machine speed.

Cerebras and CrowdStrike are partnering to power Falcon AIDR on the world’s fastest inference. AI attacks move in seconds, and cybersecurity can’t wait in a queue. Together, CrowdStrike and Cerebras are enabling security AI to detect, reason, and respond at machine speed.

408,457 просмотров

🟪 Qwen3-235B 2507 Instruct is live on Cerebras 1400 TPS • 131K Context • 230ms TTFT $0.6 | $1.2 per M tokens Try chat: Get API key: Pay-as-you-go via

🟪 Qwen3-235B 2507 Instruct is live on Cerebras 1400 TPS • 131K Context • 230ms TTFT $0.6 | $1.2 per M tokens Try chat: Get API key: Pay-as-you-go via

536,432 просмотров

Google's new fast model 3.5 Flash vs Cerebras

Google's new fast model 3.5 Flash vs Cerebras

145,111 просмотров

Cerebras Code just got an UPGRADE. It's now powered by GLM 4.6 Pro Plans ($50): 300k ▶️ 1M TPM @ 24M Tokens/day Max Plans ($200): 400k ▶️ 1.5M TPM @ 120M Tokens/day Fastest GLM provider on the planet at 1000 tokens/s and at 131K context. Get yours before we run out 👇

Cerebras Code just got an UPGRADE. It's now powered by GLM 4.6 Pro Plans ($50): 300k ▶️ 1M TPM @ 24M Tokens/day Max Plans ($200): 400k ▶️ 1.5M TPM @ 120M Tokens/day Fastest GLM provider on the planet at 1000 tokens/s and at 131K context. Get yours before we run out 👇

177,904 просмотров

No more waitlist – Cerebras inference API is open to all! 1M free tokens/day 20x GPU speed Reasoning in ~1 second It's time to build!

No more waitlist – Cerebras inference API is open to all! 1M free tokens/day 20x GPU speed Reasoning in ~1 second It's time to build!

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Cerebras Code Plans are open for business and massively upgraded. Pro Plans ($50): 165k▶️300k TPM @ 24M Tokens/day Max Plans ($200): 300k▶️400k TPM @ 120M Tokens/day More vibing, more tokens. Keep sending us feedback!

Cerebras Code Plans are open for business and massively upgraded. Pro Plans ($50): 165k▶️300k TPM @ 24M Tokens/day Max Plans ($200): 300k▶️400k TPM @ 120M Tokens/day More vibing, more tokens. Keep sending us feedback!

51,835 просмотров

Perplexity Pro is Now Powered by Cerebras. Perplexity Sonar, now running on Cerebras Inference, delivers answers at an unprecedented 1,200 tokens/s – 10x faster than comparable models.

Perplexity Pro is Now Powered by Cerebras. Perplexity Sonar, now running on Cerebras Inference, delivers answers at an unprecedented 1,200 tokens/s – 10x faster than comparable models.

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We built Death by Diet Coke in less than 30 seconds using Cerebras Code Pro, where you get higher rate limits and more power for Qwen3-Coder. We are opening the same number of Cerebras Code Pro/Max plans as diet coke cans in the office. First come, first serve.

We built Death by Diet Coke in less than 30 seconds using Cerebras Code Pro, where you get higher rate limits and more power for Qwen3-Coder. We are opening the same number of Cerebras Code Pro/Max plans as diet coke cans in the office. First come, first serve.

47,752 просмотров

Videos

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AI agents rely on a good harness. Faster inference gives a harness room to inspect results and recover sooner, while you steer the work. Sarah Chieng breaks down the loop.

AI agents rely on a good harness. Faster inference gives a harness room to inspect results and recover sooner, while you steer the work. Sarah Chieng breaks down the loop.

74,815 просмотров • 4 дней назад

We get a lot of questions about CS-4’s components. Take a closer look at the engineering behind the CS-4 Wafer-Scale Backpack. ⤵️

We get a lot of questions about CS-4’s components. Take a closer look at the engineering behind the CS-4 Wafer-Scale Backpack. ⤵️

241,596 просмотров • 12 дней назад

The Fastest AI Just Got Faster. Meet CS-4.

The Fastest AI Just Got Faster. Meet CS-4.

1,548,422 просмотров • 2 месяцев назад

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.

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.

1,292,974 просмотров • 2 месяцев назад

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.

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.

292,623 просмотров • 1 месяц назад

We built Money Agent, a personal finance assistant powered by Qwen 3.8 27B on Cerebras. Now you can turn a home-buying question into a real-time conversation, then into a financial goal, faster.

We built Money Agent, a personal finance assistant powered by Qwen 3.8 27B on Cerebras. Now you can turn a home-buying question into a real-time conversation, then into a financial goal, faster.

107,457 просмотров • 1 месяц назад

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.

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.

384,073 просмотров • 4 месяцев назад

Gemma 4 31B is now available in Public Preview on Cerebras. Our first multimodal model runs at over 1,800 tokens/s for ultra-fast image and text workflows. Give it a try:

Gemma 4 31B is now available in Public Preview on Cerebras. Our first multimodal model runs at over 1,800 tokens/s for ultra-fast image and text workflows. Give it a try:

282,043 просмотров • 3 месяцев назад

GLM 4.7 is one of the strongest open-source coding models available—but most developers aren't prompting it correctly. We put together 10 rules to help you get the most out of it: - Front-load instructions (it has a strong recency bias) - Use firm language: "must" and "strictly" > soft suggestions - Break complex tasks into smaller steps - Disable reasoning for simple tasks, enable it for hard ones - Use critic agents for code review, QA, and validation - Pair it with a frontier model for the hardest 10% of workloads - and more… GLM 4.7 hits 96% on Tau² Bench and 86% on GPQA Diamond. At 1,500 tokens/sec on Cerebras, it's 20x faster than closed-source alternatives on GPUs.

GLM 4.7 is one of the strongest open-source coding models available—but most developers aren't prompting it correctly. We put together 10 rules to help you get the most out of it: - Front-load instructions (it has a strong recency bias) - Use firm language: "must" and "strictly" > soft suggestions - Break complex tasks into smaller steps - Disable reasoning for simple tasks, enable it for hard ones - Use critic agents for code review, QA, and validation - Pair it with a frontier model for the hardest 10% of workloads - and more… GLM 4.7 hits 96% on Tau² Bench and 86% on GPQA Diamond. At 1,500 tokens/sec on Cerebras, it's 20x faster than closed-source alternatives on GPUs.

633,658 просмотров • 8 месяцев назад

Cyber attackers move fast, so defenders have to move faster 🚨 Analyzing an unfamiliar file is an everyday security workflow: analysts identify its behavior and indicators, then search for them across the environment before the threat spreads. Powered by Cerebras, GPT-5.6 Sol Ultrafast completes the analysis in 58 seconds, versus 4 minutes and 43 seconds for Sol Standard on GPUs-- helping defenders contain threats before attackers can advance.

Cyber attackers move fast, so defenders have to move faster 🚨 Analyzing an unfamiliar file is an everyday security workflow: analysts identify its behavior and indicators, then search for them across the environment before the threat spreads. Powered by Cerebras, GPT-5.6 Sol Ultrafast completes the analysis in 58 seconds, versus 4 minutes and 43 seconds for Sol Standard on GPUs-- helping defenders contain threats before attackers can advance.

67,397 просмотров • 25 дней назад

Right now, when you send a query to an LLM, it gets decrypted on the server. The LLM sees your data in plain text. Prof. Ajay Joshi (BU, CipherSonic AI ) on fully homomorphic encryption, which may be key for the future of AI privacy: how we can compute on data without ever decrypting it. The catch: it's a brutally memory-bound workload. Exactly the bottleneck wafer-scale was built to solve.

Right now, when you send a query to an LLM, it gets decrypted on the server. The LLM sees your data in plain text. Prof. Ajay Joshi (BU, CipherSonic AI ) on fully homomorphic encryption, which may be key for the future of AI privacy: how we can compute on data without ever decrypting it. The catch: it's a brutally memory-bound workload. Exactly the bottleneck wafer-scale was built to solve.

293,785 просмотров • 4 месяцев назад

Ultrafast mode for GPT-5.6 Sol is now in limited preview, powered by Cerebras. We gave OpenAI's GPT-5.6 Sol the same prompt on Ultrafast and Standard: build a financial terminal-style dashboard for analysts. Ultrafast: 1 min 50 seconds Standard: 12 min 20 seconds Same result, nearly 7x faster.

Ultrafast mode for GPT-5.6 Sol is now in limited preview, powered by Cerebras. We gave OpenAI's GPT-5.6 Sol the same prompt on Ultrafast and Standard: build a financial terminal-style dashboard for analysts. Ultrafast: 1 min 50 seconds Standard: 12 min 20 seconds Same result, nearly 7x faster.

146,136 просмотров • 2 месяцев назад

“Getting the maximum amount that you can out of a given chip is a super high priority for us.” Jeffrey Wang of OpenAI explains why training performance depends on moving parameters efficiently and reducing communication overhead, not just arithmetic.

“Getting the maximum amount that you can out of a given chip is a super high priority for us.” Jeffrey Wang of OpenAI explains why training performance depends on moving parameters efficiently and reducing communication overhead, not just arithmetic.

173,111 просмотров • 2 месяцев назад

"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.

"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.

88,821 просмотров • 1 месяц назад

“We coined this term called the semi-async valley of death.” At Cerebras Supernova, Silas Alberti unpacked why coding tasks that take 1 to 3 minutes break flow, and how Cerebras powers Cognition’s SWE-1.7 in Devin at up to 1,000 tokens per second to keep developers in the loop.

“We coined this term called the semi-async valley of death.” At Cerebras Supernova, Silas Alberti unpacked why coding tasks that take 1 to 3 minutes break flow, and how Cerebras powers Cognition’s SWE-1.7 in Devin at up to 1,000 tokens per second to keep developers in the loop.

89,992 просмотров • 1 месяц назад

"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.

"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.

132,895 просмотров • 2 месяцев назад

After 9 years at NVIDIA, James Wang left and joined Cerebras. In this Big Chip Club episode, James Wang breaks down the bottlenecks of NVIDIA GPUs, and what's keeping them OUT OF first place... Drop your follow-up questions below 👇

After 9 years at NVIDIA, James Wang left and joined Cerebras. In this Big Chip Club episode, James Wang breaks down the bottlenecks of NVIDIA GPUs, and what's keeping them OUT OF first place... Drop your follow-up questions below 👇

412,539 просмотров • 11 месяцев назад

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?

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?

142,426 просмотров • 3 месяцев назад

When will AI personal assistants be fast enough to be useful? Using Qwen 3.8 27B on Cerebras at ~1,500 tokens/sec, we made an AI personal assistant 19x faster than a suite of other AI personal assistants - Grok Bot, Meta Muse, and Claude Cowork - on the same dinner reservation task.

When will AI personal assistants be fast enough to be useful? Using Qwen 3.8 27B on Cerebras at ~1,500 tokens/sec, we made an AI personal assistant 19x faster than a suite of other AI personal assistants - Grok Bot, Meta Muse, and Claude Cowork - on the same dinner reservation task.

27,910 просмотров • 19 дней назад

OpenAI Codex-Spark powered by Cerebras You can now just build things faster—at 1,000 tokens/s.

OpenAI Codex-Spark powered by Cerebras You can now just build things faster—at 1,000 tokens/s.

287,979 просмотров • 8 месяцев назад