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Tag: NVIDIA GPUs

  • Hacker News: Cerebras fastest host for DeepSeek R1, 57x faster than Nvidia GPUs

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    Kurt Seifried
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    Source URL: https://venturebeat.com/ai/cerebras-becomes-the-worlds-fastest-host-for-deepseek-r1-outpacing-nvidia-gpus-by-57x/ Source: Hacker News Title: Cerebras fastest host for DeepSeek R1, 57x faster than Nvidia GPUs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The announcement of Cerebras Systems hosting DeepSeek’s R1 AI model highlights significant advancements in computational speed and data sovereignty in the AI sector. With speeds up to 57…

  • Hacker News: Uncovering Real GPU NoC Characteristics: Implications on Interconnect Arch.

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    Kurt Seifried
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    Source URL: https://people.ece.ubc.ca/aamodt/publications/papers/realgpu-noc.micro2024.pdf Source: Hacker News Title: Uncovering Real GPU NoC Characteristics: Implications on Interconnect Arch. Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a detailed examination of the Network-on-Chip (NoC) architecture in modern GPUs, particularly analyzing interconnect latency and bandwidth across different generations of NVIDIA GPUs. It discusses the implications…

  • The Register: AI datacenters putting zero emissions promises out of reach

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/16/ai_datacenters_putting_zero_emissions/ Source: The Register Title: AI datacenters putting zero emissions promises out of reach Feedly Summary: Plus: Bit barns’ demand for water, land, and power could breed ‘growing opposition’ from residents The datacenter industry looks set for a turbulent 2025 as AI growth threatens to trump sustainability commitments and authorities are likely to…

  • The Register: AI frenzy continues as Macquarie commits up to $5B for Applied Digital datacenters

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/15/ai_macquarie_applied_digital/ Source: The Register Title: AI frenzy continues as Macquarie commits up to $5B for Applied Digital datacenters Feedly Summary: Bubble? What bubble? Fears of an AI bubble have yet to scare off venture capitalists and private equity firms from pumping billions of dollars into the GPU-packed datacenters at the heart of the…

  • Cloud Blog: The Year in Google Cloud – 2024

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    Source URL: https://cloud.google.com/blog/products/gcp/top-google-cloud-blogs/ Source: Cloud Blog Title: The Year in Google Cloud – 2024 Feedly Summary: If you’re a regular reader of this blog, you know that 2024 was a busy year for Google Cloud. From AI to Zero Trust, and everything in between, here’s a chronological recap of our top blogs of 2024, according…

  • Hacker News: Apple collaborates with Nvidia to research faster LLM performance

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    Source URL: https://9to5mac.com/2024/12/18/apple-collaborates-with-nvidia-to-research-faster-llm-performance/ Source: Hacker News Title: Apple collaborates with Nvidia to research faster LLM performance Feedly Summary: Comments AI Summary and Description: Yes Summary: Apple has announced a collaboration with NVIDIA to enhance the performance of large language models (LLMs) through a new technique called Recurrent Drafter (ReDrafter). This approach significantly accelerates text generation,…

  • Cloud Blog: Orchestrating GPU-based distributed training workloads on AI Hypercomputer

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gpu-orchestration-options-on-ai-hypercomputer/ Source: Cloud Blog Title: Orchestrating GPU-based distributed training workloads on AI Hypercomputer Feedly Summary: When it comes to AI, large language models (LLMs) and machine learning (ML) are taking entire industries to the next level. But with larger models and datasets, developers need distributed environments that span multiple AI accelerators (e.g. GPUs…

  • Hacker News: What happens if we remove 50 percent of Llama?

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    Source URL: https://neuralmagic.com/blog/24-sparse-llama-smaller-models-for-efficient-gpu-inference/ Source: Hacker News Title: What happens if we remove 50 percent of Llama? Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The document introduces Sparse Llama 3.1, a foundational model designed to improve efficiency in large language models (LLMs) through innovative sparsity and quantization techniques. The model offers significant benefits in…

  • Cloud Blog: How to deploy Llama 3.2-1B-Instruct model with Google Cloud Run GPU

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-deploy-llama-3-2-1b-instruct-model-with-google-cloud-run/ Source: Cloud Blog Title: How to deploy Llama 3.2-1B-Instruct model with Google Cloud Run GPU Feedly Summary: As open-source large language models (LLMs) become increasingly popular, developers are looking for better ways to access new models and deploy them on Cloud Run GPU. That’s why Cloud Run now offers fully managed NVIDIA…