Loading video...

Video Failed to Load

Go Home

🎂 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...

cerebras's profile picture

Cerebras

64,925 subscribers

35,218 views • 1 year ago •via X (Twitter)

Science & Technology
LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

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.
2:45

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.

Cerebras

27,910 views • 8 days ago

gpt-oss-120b is one of the most-used models on Cerebras Inference. We sat down with Anastasios Nikolas Angelopoulos from Arena.ai and @SarahChieng to break down its strengths, weaknesses, and where it's outperforming. Here's what he's seeing.
2:46

gpt-oss-120b is one of the most-used models on Cerebras Inference. We sat down with Anastasios Nikolas Angelopoulos from Arena.ai and @SarahChieng to break down its strengths, weaknesses, and where it's outperforming. Here's what he's seeing.

Cerebras

13,076 views • 7 months ago

📣 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
1:17

📣 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

Cerebras

128,669 views • 2 years ago

Everyone talks about our hardware @Cerebras. Few notice the software. Ryan Loney breaks down the hidden optimizations powering 20× faster LLM inference than GPUs, speculative decoding, token reuse, and why we’re just getting started. Watch the full story here
4:16

Everyone talks about our hardware @Cerebras. Few notice the software. Ryan Loney breaks down the hidden optimizations powering 20× faster LLM inference than GPUs, speculative decoding, token reuse, and why we’re just getting started. Watch the full story here

Cerebras

222,816 views • 8 months ago

Cerebras and Mayo Clinic are proud to announce a new state-of-the-art foundation model for genomics. The breakthrough was made possible by combining Mayo Clinic's extensive patient data with the Cerebras AI platform, training on over a trillion tokens to create complex genomic models that can guide personalized treatment decisions. Read more:
0:23

Cerebras and Mayo Clinic are proud to announce a new state-of-the-art foundation model for genomics. The breakthrough was made possible by combining Mayo Clinic's extensive patient data with the Cerebras AI platform, training on over a trillion tokens to create complex genomic models that can guide personalized treatment decisions. Read more:

Cerebras

44,578 views • 1 year ago

🚨 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
0:26

🚨 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

Cerebras

236,476 views • 1 year ago

Introducing Cerebras Inference ‣ Llama3.1-70B at 450 tokens/s – 20x faster than GPUs ‣ 60c per M tokens – a fifth the price of hyperscalers ‣ Full 16-bit precision for full model accuracy ‣ Generous rate limits for devs Try now:
0:21

Introducing Cerebras Inference ‣ Llama3.1-70B at 450 tokens/s – 20x faster than GPUs ‣ 60c per M tokens – a fifth the price of hyperscalers ‣ Full 16-bit precision for full model accuracy ‣ Generous rate limits for devs Try now:

Cerebras

708,154 views • 2 years ago

“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.
1:27

“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.

Cerebras

89,992 views • 1 month ago

Our coding workflows were designed to accommodate slow inference. OpenAI's Codex Spark powered by Cerebras changes the game. Here's how we make the most out of 1,200 tokens per second, with Sarah Chieng.
5:26

Our coding workflows were designed to accommodate slow inference. OpenAI's Codex Spark powered by Cerebras changes the game. Here's how we make the most out of 1,200 tokens per second, with Sarah Chieng.

Cerebras

13,421 views • 6 months ago

🚨 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:
0:53

🚨 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:

Cerebras

27,477 views • 1 year ago

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.
1:36

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.

Cerebras

46,090 views • 28 days ago

Today we’re announcing our $50M Series A! Over the last year, we’ve grown from a small group with a big idea into a platform powering AI for hundreds of millions of end users across image, video, audio, and more. Since Q3, we’ve grown revenue by 10x, placing Runware comfortably among the fastest growing companies in the world. 🚀 When Runware started, the mission was simple: build the fastest and most reliable multimodal inference platform on the planet and make it accessible to everyone. We built our own Sonic Inference Engine, our own GPU infrastructure, our own inference pods, and a set of optimizations that push the limits of what an AI provider can do at scale. 2026 will be the year we bring inference closer to users than ever. We’re deploying more than twenty Runware Inference Pods across major cities in Europe and the US, delivering sub-10ms latency AI. And we’re extending Runware to support every model on Hugging Face, running them faster, cheaper, and more reliably than anyone else. A special thank you to Dawn Capital for leading this round, alongside Speedinvest Comcast Ventures Insight Partners speedrun Zero Prime VC Alex Menn at Begin Capital and all our early backers who supported us long before Runware looked like it does today.
0:48

Today we’re announcing our $50M Series A! Over the last year, we’ve grown from a small group with a big idea into a platform powering AI for hundreds of millions of end users across image, video, audio, and more. Since Q3, we’ve grown revenue by 10x, placing Runware comfortably among the fastest growing companies in the world. 🚀 When Runware started, the mission was simple: build the fastest and most reliable multimodal inference platform on the planet and make it accessible to everyone. We built our own Sonic Inference Engine, our own GPU infrastructure, our own inference pods, and a set of optimizations that push the limits of what an AI provider can do at scale. 2026 will be the year we bring inference closer to users than ever. We’re deploying more than twenty Runware Inference Pods across major cities in Europe and the US, delivering sub-10ms latency AI. And we’re extending Runware to support every model on Hugging Face, running them faster, cheaper, and more reliably than anyone else. A special thank you to Dawn Capital for leading this round, alongside Speedinvest Comcast Ventures Insight Partners speedrun Zero Prime VC Alex Menn at Begin Capital and all our early backers who supported us long before Runware looked like it does today.

Runware

63,752 views • 10 months ago

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.
5:30

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.

Cerebras

633,658 views • 8 months ago

"I used a billion tokens this week. I'm not even in the top 100 Codex users at OpenAI." We sat down with jason (creator of Instructor, now on OpenAI's Developer Experience team) to talk about how zero-latency inference is changing the way engineers work.
0:37

"I used a billion tokens this week. I'm not even in the top 100 Codex users at OpenAI." We sat down with jason (creator of Instructor, now on OpenAI's Developer Experience team) to talk about how zero-latency inference is changing the way engineers work.

Cerebras

93,023 views • 5 months ago

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:
0:43

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:

Cerebras

461,574 views • 1 year ago

We're excited to collaborate with Upstage, one of Korea's leading AI companies. Upstage's Solar 31B is now running on Cerebras at up to 2,000 tokens/sec. Watch Solar 31B complete a deep research query across 246 sources...how much faster do you think it is?
0:54

We're excited to collaborate with Upstage, one of Korea's leading AI companies. Upstage's Solar 31B is now running on Cerebras at up to 2,000 tokens/sec. Watch Solar 31B complete a deep research query across 246 sources...how much faster do you think it is?

Cerebras

39,293 views • 2 months ago

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 👇
0:34

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 👇

Cerebras

42,338 views • 1 year ago

OpenAI Codex-Spark powered by Cerebras You can now just build things faster—at 1,000 tokens/s.
0:47

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

Cerebras

287,907 views • 7 months ago