Thanks @AnastasiInTech for your recent episode discussing why Bigger is Best when it comes to AI Accelerators. Learn more about Cerebras CS3, the world’s largest and most powerful AI processor, in Anastasi’s latest review: https://
youtu.be/zXNUBFoNPX0?si
=e1N-0JlOJgTf23YN&t=396
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@cerebras
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Cerebras CS3: World’s Largest AI Processor Review
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Cerebras Tackles GenAI’s Massive Compute and Memory Demands
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At MemCon, Cerebras VP of Product Angela Yeung and EY's Global AI Innovation Officer Rodrigo Madanes unpacked GenAI's massive compute and memory demands. Training large AI models currently requires thousands of GPUs in order to store entire models in memory. Cerebras solves
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Argonne Hosts AI Accelerator Training Workshop Cerebras
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Attention all Open Science Contributors! @argonne is hosting a two-day training workshop at the @argonne_lcf AI Testbed that includes Cerebras AI accelerators. Registration ends on April 5th. This workshop is designed for universities, national laboratories, and industry
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Rethinking AI Chip Architecture: Complexity in System Integration
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@karlfreund of @Forbes writes, "Why cut up a wafer of chips, package each with HBM, put the package on a board, connect to CPUs with a fabric, then tie them all back together with networking chips and cables? That's a lot of complexity that leads to a lot of programming to
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Cerebras CS-3 Scales AI Training with 1.2 Petabytes Memory
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The Cerebras CS-3 is built to scale – a single CS-3 rack can be fitted with 1.2 petabytes of memory – 1000x more than GPU servers and large enough to train 24 trillion parameter models. Watch our CTO's keynote to learn more- https://
youtube.com/watch?v=RhXONU
RR7Yc
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Cerebras Co-Founder Keynote on LLM Training Architecture
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Cerebras Co-Founder and Chief System Architect Jean-Philippe Fricker will be delivering a keynote at @EPFL
's Applied Machine Learning Days about training the largest LLMs with ease on the Cerebras Wafer-Scale Architecture March 26, 4pm-530pm CET SwissTech Convention -
Cerebras Enables 24 Trillion Parameter Model Training at Scale
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Building large scale training clusters from scratch and achieving high MFU (Model Flop Utilization) and reliability is very hard. Train 24 trillion parameter models across 2048 nodes with the simplicity of a single device on Cerebras CS-3 clusters. Watch our technical keynotes:
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Nvidia B200 GPU plotted on Moore’s Law chart
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By popular demand: Nvidia B200 plotted on our Moore's Law chart. It's pretty big for a GPU. But kinda small when you're used to wafer scale.
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Cerebras Unveils CS-3 Processors and Multimodal AI Models
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🎉 Our first Cerebras AI Day was even BIGGER than we imagined! 🎉
— Cerebras (@cerebras) 20 mars 2024
Event Highlights:
🥳 We went under the hood of CS-3, our NEW 3rd-gen AI processors.
🥳 We unveiled our NEW Cerebras Multimodal Models, now available on Hugging Face
🥳 We shared how Cerebras and Qualcomm 10X… pic.twitter.com/ZuYVhXY5gfOur first Cerebras AI Day was even BIGGER than we imagined! Event Highlights: We went under the hood of CS-3, our NEW 3rd-gen AI processors. We unveiled our NEW Cerebras Multimodal Models, now available on Hugging Face We shared how Cerebras and Qualcomm 10X
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Neural Magic Delivers Talk at First AI Day Event
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Great to have @neuralmagic participate in our first AI Day! Thanks @markurtz_ for delivering a terrific talk.