santosh

[Andrew Feldman @andrewdfeldman]

For years, every major AI launch told the same story.
A new model, smarter than the last.
Google I/O was different.

The lead model wasn't the smartest one.
It was their fastest inference model - Gemini 3.5 Flash.

Sundar spent the keynote describing how they tuned it for speed.
When the largest AI company on earth makes speed the headline, you know it matters.

We agree.
Inference speed drives adoption.

If it's fast, you use it more often, you stay on it longer, and you use it for more interesting problems.

That's been true in every technology wave.
It was true of search, it was true of the internet, and it's true of AI.

And in the agentic era, it compounds.
Speed moves from a nice-to-have to a necessity.

Yesterday we brought Kimi K2.6, a trillion-parameter open-weight model, into enterprise trials.

Artificial Analysis measured us at 981 tokens per second - 6.7x faster than the next-fastest GPU cloud, 23x faster than the median provider.

Front-end iteration feels instant.
Hard refactors finish in a fraction of the time.

Google made fast inference the headline.
And @cerebras delivers it. The fastest inference in the world.

[Andrew Feldman @andrewdfeldman]

Code generation is one of the premier AI use cases. And @cerebras' Inference is the fastest API for coding applications. @cline makes coding easy, Cerebras + Cline make it blisteringly fast. There are lots of things worth waiting for, code generation isn't one of them.

[James Wang @draecomino]

@chamath @JonathanRoss321 @GroqInc Cerebras is faster than Groq in every model

[Andrew Feldman @andrewdfeldman]

@chamath @JonathanRoss321 @GroqInc According to Open Router, @cerebras is more than twice as fast as @GroqInc. Find today's data here: https://t.co/oFj460mmnh

[Cerebras @cerebras]

We’re proud to announce that Cerebras has been recognized as a Gold winner in @TheStevieAwards 22nd Annual American Business Awards® for Most Innovative Tech Company of the Year!

“Cerebras Systems' groundbreaking achievements in AI technology, demonstrated by the innovative CS-3 AI system and impactful collaborations, showcase their leadership in advancing the field and addressing critical societal challenges.” — Stevie Awards judges

The 2024 competition received more than 3,700 nominations and we’re honored to be among the winning entries. View the full list of winners here: https://t.co/Y3RF0moIac

#TheStevieAwards #StevieWinner2024

[Cerebras @cerebras]

At Cerebras, our people are at the heart of our innovation.

We are honored to share that @Forbes and @StatistaCharts have recognized Cerebras as one of America's Best Startup Employers in 2024.

https://t.co/dlrHBhDGTD

Interested in working at Cerebras? Check out our career page: https://t.co/TEI1GYuP74

#startup #ai #machinelearning #hardware

[Cerebras @cerebras]

Meet Condor Galaxy-1, the 4 exaFLOPs AI supercomputer built from 64 Cerebras CS-2s by Cerebras and G42.

Condor Galaxy-1 powers the most advanced AI workloads and delivers massive AI compute at your fingertips!

https://t.co/RiI6divAzY

#AI #Supercomputer #GenerativeAI

[Cerebras @cerebras]

🌟 Announcing Cerebras AI Day! 🌟

On Tuesday, March 19, in San Jose, CA, we are proud to host the 1st ever Cerebras AI Day!

AI has never been more important. Cerebras is bringing together top experts across hardware, software, and ML to take a close look at the challenges and opportunities that AI presents.

Program highlights:
🌐 Hardware, software, and State-of-the-Art model announcements
🤖 True stories and lessons learned from training large open-source and enterprise AI models
🎉 The epic Go Big or Go Home AI Party

RSVP required: https://t.co/WraEtElr4q

#AI #generativeai #supercomputing #llms #opensource

[Cerebras @cerebras]

Train 175B GPT-3 in 565 lines of code!

We loved what @karpathy did with #nanoGPT and thought we'd do the same for Cerebras’ AI-optimized hardware

gigaGPT is the simplest framework to train #gpt3 models in just 565 lines of code!

Check our code: https://t.co/BTVynfkCbX

[Karthik Avin @avin_46]

I’m a victim of #BengaluruRains today. Was heading back home from office at 11:30 pm. Exactly on Marathahalli bridge towards HAL there’s a huge pothole. I was in 40 km speed, my front left 🛞 hit the pothole and it immediately got punctured. It was raining heavily 1/2

[Hegde Nagaraj @HegdeNagaraj1]

@WF_Watcher @ChristinMP_ @bengalurutrains @KARailway @0RRCA @TVMohandasPai @naveenm01 @NammaBengaluroo Public is so much frustrated with this! Waiting from an eternity n still they r pushing it to further dates even after the green signal by CMRS. Atleast for once think abt the public wellness n start the complete purple line immidiately.
@CMofKarnataka #StartPurpleLineOperations

[Bangalore Metro Updates @WF_Watcher]

#StartPurpleLineOperations

⚡️Dots have been connected both on the ground & maps. Literally everything is Ready & Set from the Corp, but apparently the Main Switch near Cubbon park has not said Yes ‘yet’. Utter Shame 👎👎

WAKE UP Plz
5:10 PM

#StartPurpleLineOperations
#Oct6th

[Bangalore Metro Updates @WF_Watcher]

While people are waiting in huge numbers for Metro Feeder buses at KR Puram, situation at #Baiyappanahalli is equally worse (every day)! Look at the tired faces of people taking FOB & heading to other parts of City in Metro!

Solution is pretty simple #StartPurpleLineOperations

[Bangalore Metro Updates @WF_Watcher]

Dear @siddaramaiah @CMofKarnataka @DKShivakumar

Right Now - Hundreds of passengers are waiting at KRPuram for Metro Feeder Bus to go to BYP. And from BYP they all need to reach homes in West and North parts of City.

#StartPurpleLuneOperations Sir, they are Tired 🙏🙏

[Cerebras @cerebras]

(1/3) Cerebras, G42's Inception, and MBZUAI are pleased to announce Jais, the world’s best-performing Arabic LLM. Jais is a 13B parameter model that was trained on a new 395 billion token Arabic-English-Code dataset. Jais brings the power of Generative AI to 400m Arabic speakers

[Cerebras @cerebras]

📣 Today we are announcing Condor Galaxy-1: a 4 exaflop AI supercomputer built in partnership with @G42ai. Powered by 64 Cerebras CS-2 systems, 54M cores, and 82TB of memory – it's the largest AI supercomputer we've ever built. But that's not all: CG-1 is just the start..

[Sally Ward-Foxton @sallywf]

This customer win is a huge deal for @cerebras and will be worth around $900 million in the next 18 months. Importantly, it validates the market for non-GPU AI accelerators at data center scale.
https://t.co/2maZnfSDde

[Ajit Rajasekharan @ajitvraj]

An alternative to Nvidia for computing at scale

Condor Galaxy 1 AI supercomputer specifications:
4 exaFLOPS of AI compute at FP16 with sparsity
54 million AI optimized compute cores
82 terabytes of memory
64 Cerebras CS-2 systems
Base configuration supports 600 billion parameters, extendable up to 100 trillion.
386 terabits of internal cluster fabric bandwidth
72,704 AMD EPYC Gen 3 processor cores
Native hardware support for training with 50,000-token sequence length, no third-party libraries needed.
Data parallel programming model with linear performance scaling

https://t.co/3DTz6nbxOL

[IEEE Spectrum @IEEESpectrum]

What has more than 166 trillion transistors and can train large language models? @Cerebras' new #AI supercomputer. https://t.co/PqWqDDyR4z

[Cerebras @cerebras]

Cerebras has been selected as the recipient of the 2023 SEMI Award for North America.