Join Us at the European Kick-Off of the International Trillion Parameter Consortium (TPC)! June 19-21, 2024 Occidental Atenea Mar, Barcelona, Spain Cerebras Field CTO, Natalia Vassilieva, will be presenting at two highly anticipated breakout sessions: MAPE:
@cerebras
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Cerebras VIP Reception at AI Engineers World Fair SF
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Cerebras is thrilled to host the VIP Reception at the AI Engineers World Fair in SF. Looking forward to a fantastic time with the world's best AI Engineers! June 25th, 2024 6:00pm – 9:00pm View Lounge – 39th floor of the San Francisco Marriott Marquis Sign up to
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Cerebras WSE-2 Outperforms Frontier Supercomputer 179x Faster
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IEEE just published a new article by Dina Genkina highlighting the groundbreaking AI and HPC work that has been achieved on Cerebras. Our WSE-2 outperformed the world’s fastest supercomputer, Frontier, in molecular dynamics calculations, achieving speeds 179x faster. Tomas
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Cerebras and Dell Partner on CS-3 Supercomputer for Global AI
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New Collaboration Alert Cerebras and Dell have collaborated to deliver the Cerebras CS-3 Supercomputer and clusters of CS-3s for Large-Scale AI Deployments around the world. This collaboration brings together the fastest AI systems for training and inference, the Cerebras
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Cerebras to Present at Dell GenAI ISV Days
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Join us at Dell's GenAI ISV Days Cerebras will be participating in a breakout session this week! June 13th, 2024 10am – 4pm EDT Penn 1 – 34th Floor, New York City, NY 10119 Let us know if you'd like to join or discuss your Generative AI challenges with us:
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Wafer-Scale Processors Revolutionizing AI Infrastructure Since 2015
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Reflecting on our journey, it’s inspiring to see how far we've come since our inception in 2015. Andrew Feldman, our Co-Founder and CEO, envisioned creating systems that would revolutionize AI workloads. Today, our wafer-scale processors, AI infrastructure, and supercomputers
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GenAI Summit 2024: AI Leaders Discuss Healthcare and Hardware
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It was wonderful meeting the brightest AI minds at the GenAI Summit 2024 in SF last week! Natalia Vassilieva participated in a panel about how AI is reshaping medical and healthcare services, and Andy Hock delivered a keynote about GenAI at Wafer Scale. Thanks to everyone who
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Cerebras Invites Researchers to Collaborate on Sparse Model Research
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(9/n) If you are looking to conduct research into surpassing dense models with sparsity, contact us to collaborate! http://
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SμPar Eliminates Hyperparameter Detuning in Sparse Models
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(8/n) Using dense optimal HPs, the SP and μP models experience detuning HPs as sparsity increases. This detuning is a confounding variable present in many existing sparse studies. SμPar eliminates this confounding variable and enables more robust sparsity studies.
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SμPar improves LLM pretraining loss over SP and μP
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(6/n) Applying SμPar to pretraining a 610M parameter LLM significantly improves loss over SP and μP models due to improved HP tuning.