Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, functional business experts and engineers of all types. We have come together to build a new class of computer to accelerate artificial intelligence work by three orders of magnitude beyond the current state of the art. 

The CS-2 is the fastest AI computer in existence. It contains a collection of industry firsts, including the Cerebras Wafer Scale Engine (WSE-2). The WSE-2 is the largest chip ever built. It contains 2.6 trillion transistors and covers more than 46,225 square millimeters of silicon. The largest graphics processor on the market has 54 billion transistors and covers 815 square millimeters. In artificial intelligence work, large chips process information more quickly producing answers in less time. As a result, neural networks that in the past took months to train, can now train in minutes on the Cerebras CS-2 powered by the WSE-2.

Join us: https://cerebras.net/careers/

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Cerebras Systems

🌟 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://lnkd.in/dqPVaiCS

#AI #generativeai #supercomputing #llms #opensource

We are pleased to welcome keynote speaker Jean-Philippe Fricker, Chief System Architect and Co-Founder of Cerebras Systems to #AMLDEPFL2024 on Tuesday 26 March. Cerebras are known for their giant wafer-scale chips: with 2.6 trillion transistors, its Wafer Scale Engine 2 is the largest semiconductor in the world.  Join us and be a a part of AMLD EPFL 2024. 

🎟️ Get your tickets now https://buff.ly/3ORrdV0  
🗓️ 23 to 26 March
🇨🇭SwissTech Convention Center, EPFL, Lausanne
🕑 Explore the event schedule https://buff.ly/49nhNZu 

Cerebras Systems
Ecole polytechnique fédérale de Lausanne
EPFL School of Computer and Communication Sciences
EPFL Industry Relations
EPFL Innovation Park
EPFL Alumni

🌟 Attention AI Researchers: Apply now to access Cerebras AI resources as a part of the NSF NAIRR pilot! 🌟

The National Artificial Intelligence Research Resource (NAIRR) Pilot is currently offering an opportunity for researchers to leverage cutting-edge computational resources, including in-demand systems from Cerebras. This marks a significant moment for advancing safe, secure, and trustworthy AI research in the U.S.

🚀 Why Cerebras Systems?
Cerebras' technology provides the advanced capabilities necessary to tackle a diverse set of AI workloads with unparalleled efficiency.

🔍 Open Call for Proposals
We're inspired by the community's enthusiasm for the NAIRR pilot and are committed to supporting the next stages of this journey. The initial call for accessing these computational resources closes on March 1, with a new round of applications opening the week of March 25, expanding to include additional resources from our non-governmental partners.

Click here to learn more and apply: https://lnkd.in/gacwkDn6

#NAIRR #NAIRRPilot #AIResearch #ALCFAITestbed #AI #ML #GenerativeAI

🚀 Exciting Opportunity for Early Career Researchers to access Cerebras CS-2 systems!

We are thrilled to announce that our partners at Pittsburgh Supercomputing Center are launching the ByteBoost Cybertraining Program, a groundbreaking initiative to enhance proficiency and productivity in cutting-edge computing technologies for research. 

The first webinar is this Friday, February 16th, from 2-3 pm ET.

This program is for early career researchers in computationally intensive fields with a basic familiarity with Linux.

Why should you join?

🧠Expert Webinars & Workshop: Learn from leaders in the field and get hands-on experience with advanced computing testbeds, including the groundbreaking Neocortex featuring two Cerebras CS-2 systems.
🕵️Elevate Your Research: Enhance your proficiency with modern computing technologies to boost your research productivity.
🎉Community & Collaboration: Be part of a growing community of computational researchers, sharing insights and advancing science

To learn more about the program and register, please visit this website: https://lnkd.in/eUK43c-f

🌟 Excited to share insights from our first-ever multilingual models workshop at NeurIPS 2023! 🌟 

We are making available video recordings from each expert who joined us to discuss multilingual model development. 

Highlights include:
- Addressing dataset challenges for languages
- Innovations in language mixing and pre-training for data-scarce environments
- Strategies for instruction tuning without target language datasets
- Emphasizing cultural sensitivity and ethical considerations in AI

The workshop underscored the importance of collaboration and diversity in AI, pushing the envelope in multilingual technology. 

Read our blog for detailed insights, and watch videos of the talks for a deeper dive into these incredible discussions!

Blog: https://lnkd.in/gpzuSzN7

YouTube: https://lnkd.in/gBZkXQWq

#NeurIPS2023 #Multilingual #LLMs #ML #AI

🎉 Cerebras overtakes peers as #1 AI Semiconductor Startup 🎉
 
In the freshly-updated 2023 State of AI Report Compute Index from Air Street Capital and Zeta Alpha, Cerebras is highlighted for leading all AI semiconductor startups in research publication counts, open source contributions, and generative AI model development. 
 
Cerebras is committed to advancing the state of Generative AI and High-Performance Computing. 
 
👏 Thank you to the AI and HPC research community for enabling us to achieve this milestone. Let’s keep breaking the boundaries of what’s possible together.👏
 
Read the full report: https://lnkd.in/gAt7SF5A

RSVP to join us for our first-ever Cerebras AI Day on March 19th in San Jose: https://lnkd.in/dqPVaiCS
 
#AISemiconductors #generativeai #AIResearch #hpc

Cerebras is proud to be a sponsor of Supercomputing Asia 2024 (https://sca24.sc-asia.org/)

Please join our SVP of Product & Strategy, Andy Hock, for his talk "Going big: unlocking #AI and #HPC beyond exascale with Cerebras" on February 20th at 4 pm local time.

We'll also host a dinner for select #SupercomputingAsia guests on February 20th at 7 pm local time. This is an exclusive AI + HPC dinner hosted by Andy Hock and Leighton Wilson - limited seats. unlimited fun! 

RSVP here: https://lnkd.in/gBwmKxYV

We are honored to have met KAUST's President, Dr. Tony F Chan, and to work on revolutionary research together.

At #SC23, KAUST (King Abdullah University of Science and Technology) and Cerebras Systems were finalists for the 2023 Gordon Bell Prize, the most prestigious award for outstanding achievements in HPC.

“In partnership with KAUST researchers, we are honored to be recognized by Gordon Bell for setting a new record in what is possible for multi-dimensional seismic processing. This work will unlock world-changing advancements across climate and weather modeling, computational astronomy, wireless communication, seismic imaging, and more,” said Andrew Feldman, co-founder and CEO of Cerebras Systems.

Read more about our research: https://lnkd.in/gPGc2tNT

🚀Cerebras launches PyTorch-based library for sparse training!  🚀

Sparsity helps unlock a new dimension of efficiency beyond model architectures for training, enabling control of computing performance in the ML practitioner's hand. Sparse models also achieve better scaling but are difficult to accelerate. Today's deep learning libraries are optimized for dense computations and offer limited sparsity support.

We're thrilled to announce the release of our fully integrated PyTorch-based library tailored for sparse training. This library not only supports unstructured sparsity in a hardware-agnostic manner but, when combined with the Cerebras CS-2, unleashes unparalleled efficiency in training foundation models. 

Our library simplifies the transition to sparse model training, eliminating the need for complex rewrites and allowing ML practitioners to focus on what they do best: pushing the boundaries of AI research. Our library is also hardware agnostic, but combined with the Cerebras CS-2's unique ability to accelerate unstructured sparsity, it unleashes unparalleled efficiency in training foundation models.

Learn more by reading our blog: https://lnkd.in/gDduKkGX 

#sparsity #deeplearning #generativeai #machinelearning

🏆Cerebras Systems has been recognized in the Newsweek Excellence Index 2024! 🏆

As thought leaders in Generative AI, we're honored to stand among companies exemplifying success and responsibility across various industries. 

This recognition reflects our commitment to innovation. We aspire to continue to pave the way for the next AI achievements. 

#Cerebras #NewsweekExcellence2024 #AI #GenerativeAI #MachineLearning

Read the full list: https://lnkd.in/gnzSidgW

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DMARC

IPv6

Steve Vassallo

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Aditya Singh

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CEO & Founder

Bob Komin

Michael James

Founder & Chief Software Architect

Gary Lauterbach

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Sean Lie

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Jean-Philippe Fricker

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Dhiraj Mallick

Andy Hock

Head of Product

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Cerebras Systems focuses on developing high-performance computing solutions, specifically for AI and deep learning workloads. The company is known for its Wafer-Scale Engine (WSE), the largest chip ever built, designed to handle massive AI computations. Their hardware systems, like the Cerebras CS-2, enable fast training and inference for large AI models by delivering high computational power and memory bandwidth.

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AI hardware innovations redefine training and inference

The 7 next big things in computing, chips, and foundational technology for 2024

Cerebras Delivers Record-Breaking Performance with Meta's Llama 3.1 405B Model

Cerebras Sets New World Record in Molecular Dynamics at 1.1 Million Simulations per Second — 748x Faster than the World’s #1 Supercomputer ‘Frontier’

Sandia To Push Both HPC And AI With Cerebras “Kingfisher” Cluster

These 2 Stocks Are Nvidia's Most Serious Competitors. But Are They Even Close?

Nvidia Has Been the Undisputed King of the Artificial Intelligence (AI) Revolution. Has the Chipmaker Finally Met Its Match?

Cerebras Triples its Industry-Leading Inference Performance, Setting New All Time Record

The CS-3 is an AI supercomputer powered by the Wafer Scale Engine 3 (WSE-3), designed for training large AI models up to 24 trillion parameters.

A 5nm-based, 4 trillion transistor chip with 900,000 AI optimized compute cores, providing 125 petaflops of peak AI performance.

Provides native support for PyTorch 2.0 and accelerates training for AI models, including dynamic and unstructured sparsity.

An AI supercomputer under construction with Cerebras, featuring 64 CS-3 systems for a total of 8 exaFLOPs of AI compute.

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Lambda is a competitor of Cerebras in the AI accelerator industry.

Lambda

Blaize competes with Cerebras in the AI accelerator sector.

Blaize

Rain Neuromorphics is a direct competitor of Cerebras in the AI accelerator industry.

Rain Neuromorphics

Graphcore is a primary competitor of Cerebras in the semiconductor industry, particularly in AI accelerators.

Graphcore

NVIDIA is a major competitor of Cerebras in the semiconductor industry, particularly in AI accelerators.

NVIDIA

Intel competes with Cerebras in the semiconductor industry, particularly in AI accelerators.

Intel

Cerebras Systems Inc. is an American artificial intelligence company that designs and builds computer systems for complex deep learning applications.

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Cerebras Systems Inc.