Tag: chips
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The Register: Nvidia’s latest Blackwell boards pack 4 GPUs, 2 Grace CPUs, and suck down 5.4 kW
Source URL: https://www.theregister.com/2024/11/18/nvidia_gb200_nvl4/ Source: The Register Title: Nvidia’s latest Blackwell boards pack 4 GPUs, 2 Grace CPUs, and suck down 5.4 kW Feedly Summary: You can now glue four H200 PCIe cards together too SC24 Nvidia’s latest HPC and AI chip is a massive single board computer packing four Blackwell GPUs, 144 Arm Neoverse cores,…
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Hacker News: YC is wrong about LLMs for chip design
Source URL: https://www.zach.be/p/yc-is-wrong-about-llms-for-chip-design Source: Hacker News Title: YC is wrong about LLMs for chip design Feedly Summary: Comments AI Summary and Description: Yes Summary: The text critiques Y Combinator’s (YC) recent interest in leveraging large language models (LLMs) for chip design, arguing that it fundamentally underestimates the complexities involved in chip architecture and design. It…
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Hacker News: Qualcomm RISCs, Arm Pulls: The Legal Battle for the Future of Client Computing
Source URL: https://thechipletter.substack.com/p/qualcomm-riscs-arm-pulls-the-legal Source: Hacker News Title: Qualcomm RISCs, Arm Pulls: The Legal Battle for the Future of Client Computing Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a significant legal dispute between Qualcomm and Arm Holdings Plc regarding Qualcomm’s use of Arm’s intellectual property to design chips. This situation reflects…
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Cloud Blog: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-65k-nodes-and-counting/ Source: Cloud Blog Title: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models Feedly Summary: As generative AI evolves, we’re beginning to see the transformative potential it is having across industries and our lives. And as large language models (LLMs) increase in size — current models are reaching…
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Cloud Blog: Unlocking LLM training efficiency with Trillium — a performance analysis
Source URL: https://cloud.google.com/blog/products/compute/trillium-mlperf-41-training-benchmarks/ Source: Cloud Blog Title: Unlocking LLM training efficiency with Trillium — a performance analysis Feedly Summary: Rapidly evolving generative AI models place unprecedented demands on the performance and efficiency of hardware accelerators. Last month, we launched our sixth-generation Tensor Processing Unit (TPU), Trillium, to address the demands of next-generation models. Trillium is…
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The Register: HPE goes Cray for Nvidia’s Blackwell GPUs, crams 224 into a single cabinet
Source URL: https://www.theregister.com/2024/11/13/hpe_cray_ex/ Source: The Register Title: HPE goes Cray for Nvidia’s Blackwell GPUs, crams 224 into a single cabinet Feedly Summary: Meanwhile, HPE’s new ProLiant servers offer choice of Gaudi, Hopper, or Instinct acceleration If you thought Nvidia’s 120 kW NVL72 racks were compute dense with 72 Blackwell accelerators, they have nothing on HPE…
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The Register: AWS opens cluster of 40K Trainium AI accelerators to researchers
Source URL: https://www.theregister.com/2024/11/12/aws_trainium_researchers/ Source: The Register Title: AWS opens cluster of 40K Trainium AI accelerators to researchers Feedly Summary: Throwing novel hardware at academia. It’s a tale as old as time Amazon wants more people building applications and frameworks for its custom Trainium accelerators and is making up to 40,000 chips available to university researchers…
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Slashdot: Red Hat is Acquiring AI Optimization Startup Neural Magic
Source URL: https://linux.slashdot.org/story/24/11/12/2030238/red-hat-is-acquiring-ai-optimization-startup-neural-magic?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Red Hat is Acquiring AI Optimization Startup Neural Magic Feedly Summary: AI Summary and Description: Yes Summary: Red Hat’s acquisition of Neural Magic highlights a significant development in AI optimization, showcasing an innovative approach to enhancing AI model performance on standard hardware. This move underlines the growing importance of…