WIRED reports "The world now has a new fastest AI training supercomputer. Condor Galaxy, a network of 9 interconnected AI supercomputers, was brought to life by the US-based AI company Cerebras Systems together with G42, UAE-based technology holding group https://
hubs.li/Q01YwfJP0
AI HARDWARE
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Cerebras Condor Galaxy Named World’s Fastest AI Training Supercomputer
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CG-1 Simplifies Massive GPU Cluster Distribution for AI Models
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“Many cloud companies have announced massive GPU clusters that cost billions of dollars to build and are extremely difficult to use. Distributing a single model over 1000s of tiny GPUs takes months of time from dozens of people with rare expertise. CG-1 eliminates this challenge"
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Condor Galaxy 1: Cerebras G42 Partnership Dramatically Reduces AI Training
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“Condor Galaxy 1 (CG-1), the result of the Cerebras and G42 partnership, dramatically reduces AI training time while eliminating the pain of distributed compute,” says our CEO, Andrew Feldman. pic.twitter.com/CEkomoyaMB
— Cerebras (@cerebras) 21 juillet 2023“Condor Galaxy 1 (CG-1), the result of the Cerebras and G42 partnership, dramatically reduces AI training time while eliminating the pain of distributed compute,” says our CEO, Andrew Feldman.
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Samsung Uses AI and Big Data to Revolutionize Chipmaking
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Samsung Embraces AI and Big Data, Revolutionizes Chipmaking Process: Samsung Electronics Co., the world’s leading memory chip manufacturer, is set to revolutionize its chipmaking process using cutting-edge artificial intelligence (AI) and big data… https://
analyticsvidhya.com/blog/2023/06/s
amsung-embraces-ai-and-big-data-revolutionizes-chipmaking-process/?utm_source=dlvr.it&utm_medium=twitter
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Computation in Physical Materials: Metal, Clay, and Gold Integration
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If you mean using metal rods, surgery, clay, gold, etc. If there's more than just matter in there but also computation then it's a relatively new thing…
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Training Large Models Without Cluster Management Complexity
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anyone out there wanting to train large models but not have to deal with cluster management?
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GroqSpotlight CEO Conversation on AI LLMs and Low Latency Inference
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If you missed our GroqSpotlight: A CEO Conversation with Jonathan Ross last week, view the recording for insights on expanding #AI horizons with #LLMs and low latency #inference. https://
youtube.com/live/YHkrdgjW_
4w?feature=share
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Numeric representation for efficient fused multiply-add hardware
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Conventional numbers are easy to add/subtract and logs are easy to multiply/divide — I wonder if there is a numeric representation that could support more efficient hardware fused multiply-adds for matrix multiplies.
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Cerebras Introduces Condor Galaxy-1 Exaflop Supercomputer
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To learn more about CG-1, read our detailed technical blog. https://
cerebras.net/blog/introduci
ng-condor-galaxy-1-a-4-exaflop-supercomputer-for-generative-ai/
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Fine-tune Llama 2 on Replicate with cloud GPUs
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You can fine-tune Llama 2 on Replicate. • We actually have GPUs available
• Train in the cloud with one line of code
• Run your trained model with an auto-scaling cloud API https://
replicate.com/blog/fine-tune
-llama-2
… Find out more in the thread below