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Category: Gpu

  • AI in Multiple GPUs: How GPUs Communicate

    AI in Multiple GPUs: How GPUs Communicate A deep dive into the hardware infrastructure that enables multi-GPU communication for AI workloads The post AI in Multiple GPUs: How GPUs Communicate appeared first on Towards Data Science. Lorenzo Cesconetto Go to original source

  • AI in Multiple GPUs: Point-to-Point and Collective Operations

    AI in Multiple GPUs: Point-to-Point and Collective Operations Learn PyTorch distributed operations for multi GPU AI workloads The post AI in Multiple GPUs: Point-to-Point and Collective Operations appeared first on Towards Data Science. Lorenzo Cesconetto Go to original source

  • AI in Multiple GPUs: Understanding the Host and Device Paradigm

    AI in Multiple GPUs: Understanding the Host and Device Paradigm Learn how CPU and GPUs interact in the host-device paradigm The post AI in Multiple GPUs: Understanding the Host and Device Paradigm appeared first on Towards Data Science. Lorenzo Cesconetto Go to original source

  • Breaking the Hardware Barrier: Software FP8 for Older GPUs

    Breaking the Hardware Barrier: Software FP8 for Older GPUs Deep learning workloads are increasingly memory-bound, with GPU cores sitting idle while waiting for data transfers. FP8 precision solves this on newer hardware, but what about the millions of RTX 30 and 20 series GPUs already deployed? Feather demonstrates that software-based FP8 emulation through bitwise packing…

  • How to Keep AI Costs Under Control

    How to Keep AI Costs Under Control Lessons from Scaling LLMs The post How to Keep AI Costs Under Control appeared first on Towards Data Science. Asaf Liveanu Go to original source

  • Learning Triton One Kernel at a Time: Matrix Multiplication

    Learning Triton One Kernel at a Time: Matrix Multiplication Tiled GEMM, GPU memory, coalescing, and much more! The post Learning Triton One Kernel at a Time: Matrix Multiplication appeared first on Towards Data Science. Ryan Pégoud Go to original source

  • Use PyTorch to Easily Access Your GPU

    Use PyTorch to Easily Access Your GPU Let’s say you are lucky enough to have access to a system with an Nvidia Graphical Processing Unit (Gpu). Did you know there is an absurdly easy method to use your GPU’s capabilities using a Python library intended and predominantly used for machine learning (ML) applications?  Don’t worry…