Our December Newsletter is out! Learn more about the following:
-Our new open-source models and code, including gigaGPT, CrystalCoder, and BTLM-Chat
-Our amazing time at NeurIPS, which included presenting several papers at workshops, running the 1st Multilingual Workshop, and
@cerebras
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December Newsletter: New Open-Source Models and NeurIPS Highlights
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Cerebras Booth Highlights: Sparsity, Inference Optimization, Multilingual Models
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We really enjoyed meeting many brilliant ML researchers and model builders at the Cerebras booth last week at NeurIPS. Some topics of discussion: * Unlocking Sparsity for Training Efficiency
* Optimizing Training for Inference Efficiency
* Multilingual Models
* Training large -
Cerebras Advances AI Solutions and Beyond
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(2/2) Stay tuned for more incredible solutions from Cerebras that advance AI and beyond!
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Company Named Fortune 50 AI Innovators Award Winner
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(1/2) We are thrilled to announce that we’ve been chosen by @FortuneMagazine in their first annual Fortune 50 #AI Innovators list! It’s an honor to be included amongst the industry’s leading AI companies: https://
fortune.com/ranking/ai-inn
ovators/
… #Fortune #AI #innovation -
Jais-13B Arabic LLM Launches on Microsoft Azure Cloud
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Jais-13B, the leading Arabic LLM trained on Cerebras CS-2 is now available on the @Azure AI cloud! Very excited for this partnership with @G42ai & @Microsoft
! https://
techcommunity.microsoft.com/t5/ai-machine-
learning-blog/welcoming-mistral-phi-jais-code-llama-nvidia-nemotron-and-more/ba-p/3982699
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HPC Supercomputer Accelerates Rayleigh-Bénard Convection Research
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Thrilled to share that with @NETL_DOE and @psc_live
, we were chosen as winner of the @HPCwire Editors’ Choice Award for Best Use of HPC in Industry for using the Neocortex supercomputer to significantly accelerate the investigation of the Rayleigh–Bénard convection problem. -
Cerebras Machine Outperforms CPU GPU Architectures Computational Science
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(2/2) John R. Tramm, Assistant Computational Scientist at mentions, “The performance numbers we were able to get out of the Cerebras machine impressed our team – a clear advancement over what has been possible on CPU or GPU architectures to-date. ”
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Cerebras CS-2 outperforms NVidia A100 on nuclear physics simulation
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(1/2) Argonne National Laboratory researchers demonstrate the Cerebras CS-2 is 130x faster than NVidia A100 on a nuclear physics simulation workload. Read the paper here: https://
arxiv.org/pdf/2311.01739
.pdf
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Cerebras achieves 130x speedup on nuclear physics simulations
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Monte Carlo Particle Transport is a key algorithm to nuclear physics simulations but it's very demanding to run. Researchers at ANL re-wrote the core kernel on Cerebras CS-2 and achieved a 130x speedup over A100. https://
cerebras.net/press-release/
cerebras-systems-announces-130x-performance-improvement-on-key-nuclear-energy-simulation-over-nvidia-a100-gpus
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Cerebras Appoints Julie Choi as SVP Chief Marketing Officer
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Cerebras is excited to announce that Julie Choi is joining us as our SVP and Chief Marketing Officer!