Hugging Face launches PyTorch performance optimization guide for AI engineers
Hugging Face has released part 1 of a guide on using 'torch.profiler', helping developers identify bottlenecks and reduce AI model training costs.
Sources huggingface.co
Train Your Own LLM from Scratch with PyTorch
This repository provides scripts to implement and train a Transformer model from scratch using PyTorch, enabling you to build your own Large Language Model (LLM) with just a single GPU.
Sources github.com
Optimizing Qwen 3.5 on PyTorch Achieves Record-Breaking 580 Tokens/Second 🚀
The PyTorch Foundation has announced TokenSpeed optimization for Qwen 3.5, achieving speeds of 580 tokens per second on NVIDIA GPUs and unlocking ultra-fast processing for agentic workflows.
Sources x.com