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How to make a training loop run on any distributed setup with Discover how DDP harnesses multiple GPUs across machines to handle larger models and datasets, Sylvain shows how to make a script work on any kind of distributed setup with the Learn how to write high-performance CUDA kernels directly in Get Life-time Access to the complete scripts (and future improvements): In this edition of ML Frameworks W&B's host Aman Arora was joined by HF Research Engineer, Sylvain Gugger. --- HF
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Accelerated Data Science with Python Polars
How DDP works || Distributed Data Parallel || Quick explained
Supercharge your PyTorch training loop with 🤗 Accelerate
Part 1: Accelerate your training speed with the FSDP Transformer wrapper
1,001 Ways to Accelerate Python with CUDA Kernels | NVIDIA GTC 2025
GPU-accelerated Python with CuPy and Numba's CUDA
CUDA Programming with Python: Accelerating Data-Parallel Applications
Multi GPU Fine tuning with DDP and FSDP
ML Frameworks: Hugging Face Accelerate w/ Sylvain Gugger
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Last Updated: June 18, 2026
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