Amazon challenges Nvidia’s software advantage with new tool for its own AI chips

Amazon's TorchNeuron software runs code written in PyTorch, the open-source framework used by many AI developers, on its ...

[Deep Dive] How many times does one line of PyTorch access GPU memory? ~Counting kernels to understand slowness~

I recently read an article by Adam Mainz (@MainzOnX) titled "What even is a kernel?". It is an introductory article that ...
HackerNoon

GPU Kernels Explained: The Hidden Reason Your AI Model Runs Slowly

A GPU kernel is the code that runs on the GPU when you call an operation like torch.matmul, as thousands of copies at once.

[LLM Anatomy] Why does your PyTorch code crash with "CUDA out of memory"? Learning the truth about VRAM and bottlenecks from CS336

Escaping the despair of "setting batch size to 1"Engineers who start fine-tuning or training their own LLMs (Large Language ...
kucoin

Zephon's TorchTitan integration maintains global batch consistency across GPU scales.

PyTorch announced that Zephon's TorchTitan maintains exact global batch consistency when resuming training across different ...
Geeky Gadgets

How to use PyTorch for Deep Learning applications – Beginners Guide

Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...
Phoronix

Mesa Expands NPU Capabilities With Support For YOLOX With PyTorch

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What is PyTorch?

PyTorch is an open-source machine learning library. While it can be used for a wide range of tasks, it is particularly ...