How a digital twin for intense weather could help scientists mitigate climate change – @TiernanRayTech @ZDNet reports on how Cerebras CS-2 system is helping @NETL_DOE scientists have dramatic impact on energy and climate change projects. Read more:
@cerebras
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CS-2 Machine Achieves 100x Faster AI Performance Than Frontier
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"The main takeaway is that this implementation on a CS-2 machine is several 100x faster than what even Frontier and other HPC facilities could do,” Dirk Van Essendelft @NETL_DOE tells @agamsh @HPCwire
. “It’s like unobtainium in the HPC world right now.” -
Cerebras Wafer-Scale Engine Runs First CFD Simulation
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Today, with @NETL_DOE & @psc_live we announced the first ever computational fluid dynamics simulation on our Wafer-Scale Engine. Running on @NSF-funded Neocortex, this natural convection simulation promises more insightful #scientificcomputing https://t.co/ud3sL53WZg pic.twitter.com/zCDvKISb8H
— Cerebras (@cerebras) 7 février 2023Today, with @NETL_DOE & @psc_live we announced the first ever computational fluid dynamics simulation on our Wafer-Scale Engine. Running on @NSF
-funded Neocortex, this natural convection simulation promises more insightful #scientificcomputing http://
cerebras.net/cfd -
Jasper AI Gen AI Event: Future AI Tech Stack Discussion
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We’re excited to participate in @heyjasperai Gen AI event next week, designed to explore the intersection of business, creativity and generative #AI. @andrewdfeldman will take the stage to discuss the Future AI Tech Stack. Register here: https://
hubs.li/Q01BnQ7w0 -
Cerebras Wafer-Scale Engine Enables Segmentation on Massive Images
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Thanks to the size of the Cerebras Wafer-Scale Engine, amplified by our weight-streaming technology, we can perform segmentation and classification on enormous, 25-megapixel images. Big chips, big images, big insight. Interested? Contact us here: https://
cerebras.net/get-demo/ -
Cerebras Enables Larger Image Semantic Segmentation Training
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Cerebras has made it possible to train and run inference on semantic segmentation models on images larger than can be done on GPUs today. pic.twitter.com/K938yfuFlF
— Cerebras (@cerebras) 3 février 2023Cerebras has made it possible to train and run inference on semantic segmentation models on images larger than can be done on GPUs today.
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Cerebras Andromeda: AI Supercomputer with 13.5 Million Cores
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@GradFlowTech published an overview of specialized hardware for AI and mentioned: "[Cerebras' Andromeda], an AI supercomputer boasting 13.5 million cores and the ability to deliver over 1 exaflop of AI compute power." Read their full article here:
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ChatGPT Impact: How LLMs Drive AI Hardware Innovation
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Forbes' Karl Freund writes how ChatGPT will impact our world. He mentions, "Large Language Models demand a massive amount of processing with adequate memory capacity & bandwidth…Startups like Cerebras see this as a huge opportunity." Article – https://
hubs.li/Q01zGjG80 -
Cerebras Challenges Nvidia with Dinner Plate-Sized AI Chip
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“Cerebras Systems believes it can beat Nvidia at #AI computing with a computer chip the size of a dinner plate,” says @DylanLJMartin @CRN
, naming us a Top 10 Hot Semiconductor Company to Watch in 2023. Read more about our customers and new technology here: -
Simula Presents Graph500 BFS Algorithm on Cerebras CSL
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Reminder that tomorrow at 9am PT, Simula's Luk Burchard will be sharing research on the Graph500 BFS algorithm he ported over to the Cerebras Software Language (CSL). Join this event to learn about tooling he's developed to map problems onto CSL Register: https://
hubs.li/Q01zvG4Y0