Tag: kernels

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

    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

    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

    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…

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

    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…

  • Hacker News: Max GPU: A new GenAI native serving stac

    Source URL: https://www.modular.com/blog/introducing-max-24-6-a-gpu-native-generative-ai-platform Source: Hacker News Title: Max GPU: A new GenAI native serving stac Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the introduction of MAX 24.6 and MAX GPU, a cutting-edge infrastructure platform designed specifically for Generative AI workloads. It emphasizes innovations in AI infrastructure aimed at improving performance…

  • Hacker News: Fast LLM Inference From Scratch (using CUDA)

    Source URL: https://andrewkchan.dev/posts/yalm.html Source: Hacker News Title: Fast LLM Inference From Scratch (using CUDA) Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a comprehensive overview of implementing a low-level LLM (Large Language Model) inference engine using C++ and CUDA. It details various optimization techniques to enhance inference performance on both CPU…

  • Hacker News: Bootkitty: Analyzing the first UEFI bootkit for Linux

    Source URL: https://www.welivesecurity.com/en/eset-research/bootkitty-analyzing-first-uefi-bootkit-linux/ Source: Hacker News Title: Bootkitty: Analyzing the first UEFI bootkit for Linux Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the emergence of “Bootkitty,” the first UEFI bootkit targeting Linux systems, highlighting its implications for security professionals in AI, cloud, and infrastructure. This new threat reflects an evolving…