Experimental News Clipping Site

Tag: speedup

  • Cloud Blog: H4D VMs: Next-generation HPC-optimized VMs

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/new-h4d-vms-optimized-for-hpc/ Source: Cloud Blog Title: H4D VMs: Next-generation HPC-optimized VMs Feedly Summary: At Google Cloud Next, we introduced H4D VMs, our latest machine type for high performance computing (HPC). Building upon existing HPC offerings, H4D VMs are designed to address the evolving needs of demanding workloads in industries such as manufacturing, weather forecasting,…

  • Cloud Blog: Driving enterprise transformation with new compute innovations and offerings

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/delivering-new-compute-innovations-and-offerings/ Source: Cloud Blog Title: Driving enterprise transformation with new compute innovations and offerings Feedly Summary: In the last 12 months, we’ve made incredible enhancements to our Compute Engine platform. This is driven most notably by new fourth-generation compute instances and Hyperdisk block storage as well as major customer experience enhancements. Across all…

  • Cloud Blog: Speed up checkpoint loading time at scale using Orbax on JAX

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/unlock-faster-workload-start-time-using-orbax-on-jax/ Source: Cloud Blog Title: Speed up checkpoint loading time at scale using Orbax on JAX Feedly Summary: Imagine training a new AI / ML model like Gemma 3 or Llama 3.3 across hundreds of powerful accelerators like TPUs or GPUs to achieve a scientific breakthrough. You might have a team of powerful…

  • Cloud Blog: ScaNN for AlloyDB: The first PostgreSQL vector search index that works well from millions to billion of vectors

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/databases/how-scann-for-alloydb-vector-search-compares-to-pgvector-hnsw/ Source: Cloud Blog Title: ScaNN for AlloyDB: The first PostgreSQL vector search index that works well from millions to billion of vectors Feedly Summary: Executive Summary – ScaNN for AlloyDB is the first Postgres-based vector search extension that supports vector indexes of all sizes, while providing fast index builds, fast transactional updates,…

  • Hacker News: AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition

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    Kurt Seifried
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    Source URL: https://sakana.ai/ai-cuda-engineer/ Source: Hacker News Title: AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses significant advancements made by Sakana AI in automating the creation and optimization of AI models, particularly through the development of The AI CUDA Engineer, which leverages…

  • Hacker News: SVDQuant+NVFP4: 4× Smaller, 3× Faster FLUX with 16-bit Quality on Blackwell GPUs

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    Kurt Seifried
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    Source URL: https://hanlab.mit.edu/blog/svdquant-nvfp4 Source: Hacker News Title: SVDQuant+NVFP4: 4× Smaller, 3× Faster FLUX with 16-bit Quality on Blackwell GPUs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the release of SVDQuant, a new low-precision quantization paradigm that supports NVIDIA’s NVFP4 architecture on Blackwell GPUs. It highlights significant improvements in model accuracy,…

  • Cloud Blog: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/preprocessing-large-datasets-with-ray-and-gke/ Source: Cloud Blog Title: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise Feedly Summary: The exponential growth of machine learning models brings with it ever-increasing datasets. This data deluge creates a significant bottleneck in the Machine Learning Operations (MLOps) lifecycle, as traditional data preprocessing methods struggle to scale. The…

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

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    system automation
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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…

  • Hacker News: AMD Releases ROCm Version 6.3

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    system automation
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    Source URL: https://insidehpc.com/2024/11/amd-releases-rocm-version-6-3/ Source: Hacker News Title: AMD Releases ROCm Version 6.3 Feedly Summary: Comments AI Summary and Description: Yes Summary: AMD’s ROCm Version 6.3 enhances AI and HPC workloads through its advanced features like SGLang for generative AI, optimized FlashAttention-2, integration of the AMD Fortran compiler, and new multi-node FFT support. This release is…

  • Hacker News: 1-Bit AI Infrastructure

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    system automation
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    Source URL: https://arxiv.org/abs/2410.16144 Source: Hacker News Title: 1-Bit AI Infrastructure Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advancements in 1-bit Large Language Models (LLMs), highlighting the BitNet and BitNet b1.58 models that promise improved efficiency in processing speed and energy usage. The development of a software stack enables local…