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Tag: kernels

  • Hacker News: Aiter: AI Tensor Engine for ROCm

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    Kurt Seifried
    in

    Source URL: https://rocm.blogs.amd.com/software-tools-optimization/aiter:-ai-tensor-engine-for-rocm™/README.html Source: Hacker News Title: Aiter: AI Tensor Engine for ROCm Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses AMD’s AI Tensor Engine for ROCm (AITER), emphasizing its capabilities in enhancing performance across various AI workloads. It highlights the ease of integration with existing frameworks and the significant performance…

  • Hacker News: Landrun: Sandbox any Linux process using Landlock, no root or containers

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    Kurt Seifried
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    Source URL: https://github.com/Zouuup/landrun Source: Hacker News Title: Landrun: Sandbox any Linux process using Landlock, no root or containers Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a lightweight and secure sandboxing tool called Landrun, built on the Landlock LSM introduced in Linux. This tool provides advanced access control features for Linux…

  • Hacker News: SepLLM: Accelerate LLMs by Compressing One Segment into One Separator

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    Kurt Seifried
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    Source URL: https://sepllm.github.io/ Source: Hacker News Title: SepLLM: Accelerate LLMs by Compressing One Segment into One Separator Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel framework called SepLLM designed to enhance the performance of Large Language Models (LLMs) by improving inference speed and computational efficiency. It identifies an innovative…

  • 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: Optimizing image generation pipelines on Google Cloud: A practical guide

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/guide-to-optimizing-image-generation-pipelines/ Source: Cloud Blog Title: Optimizing image generation pipelines on Google Cloud: A practical guide Feedly Summary: Generative AI diffusion models such as Stable Diffusion and Flux produce stunning visuals, empowering creators across various verticals with impressive image generation capabilities. However, generating high-quality images through sophisticated pipelines can be computationally demanding, even with…

  • Bulletins: Vulnerability Summary for the Week of January 27, 2025

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    Kurt Seifried
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    Source URL: https://www.cisa.gov/news-events/bulletins/sb25-034 Source: Bulletins Title: Vulnerability Summary for the Week of January 27, 2025 Feedly Summary: High Vulnerabilities PrimaryVendor — Product Description Published CVSS Score Source Info 0xPolygonZero–plonky2  Plonky2 is a SNARK implementation based on techniques from PLONK and FRI. Lookup tables, whose length is not divisible by 26 = floor(num_routed_wires / 3) always…

  • Cloud Blog: Improving model performance with PyTorch/XLA 2.6

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/application-development/pytorch-xla-2-6-helps-improve-ai-model-performance/ Source: Cloud Blog Title: Improving model performance with PyTorch/XLA 2.6 Feedly Summary: For developers who want to use the PyTorch deep learning framework with Cloud TPUs, the PyTorch/XLA Python package is key, offering developers a way to run their PyTorch models on Cloud TPUs with only a few minor code changes. It…