Join Leighton at #SC22 for a discussion on using our SDK to implement dataflow programs on the Cerebras architecture. During this event, he will walk through how to map a general matrix-vector product (GEMV) to a Cerebras CS-2, using our fabric simulator. #HPC #SC22
@cerebras
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Cerebras Wafer-Scale Cluster Achieves Linear Scaling Performance
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Distributed training across thousands of traditional accelerators suffers diminishing returns as more compute is added. Join Natalia Vassilieva at #SC22 as she presents the Cerebras Wafer-Scale Cluster, which achieves near-perfect linear scaling across additional cores
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Dr. Van Essendelft Presents Computational Physics Research on Cerebras CS-2
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Join Dr. Dirk Van Essendelft at #SC22 as he describes the tremendous Computational Physics research he’s done using the Cerebras CS-2 system. There will be two presentations at 10 am and 2 pm in Cerebras booth 2833. #HPC #Physics #SC22
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AI Accelerators for Deep Learning Workloads at SC22
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Interested in learning how novel AI accelerators are used for deep learning workloads? Join our ML Solutions Engineering Lead, Cindy Orozco Bohorquez, at SC22 for this discussion! #AI #ML #DeepLearning #SC22
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ML Solutions Engineering Accelerates Scientific Computing Research
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From genomics to energy research, we continue to accelerate scientific computing. Join our ML Solutions Engineering Lead, Cindy Orozco Bohorquez, at #SC22 for this enlightening presentation! #AI #ML #DeepLearning #SC22
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Appliance Mode for Training Massive ML Models Introduced
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ICYMI we recently had a developer community meeting where we introduced our Appliance Mode for training massive ML models. You can watch our recording here: https://
hubs.li/Q01rkJ9S0 Want to join our next meeting? Sign up here! https://
hubs.li/Q01rkHTb0 #ML #machinelearning #ai -
LLMs Self-Improve: New State-of-the-Art Reasoning Capabilities
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We recently read ‘Large Language Models Can Self-Improve,’ which demonstrates how to improve the general reasoning ability of multi-billion parameter models and achieve state-of-the-art performance. Have you read it? Check it out and let us know your thoughts! #ML #AI #LLM