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Ajouté : 2026-05-21

[00:00:00]PyTorch 2.12 has officially launched, bringing major performance upgrades for AI researchers and developers. The biggest highlight is a dramatic speed [music] boost for batch linear algebra operations on a video GPUs.

[00:00:13]>> [music] >> Some workloads reportedly run up to 100 times faster using a new Q solver back [music] end. The update also improves support for compressed AI models through advanced quantization formats. This helps developers deploy powerful models on smaller devices with lower memory usage. Additional upgrades include faster training [music] optimizers and improved model export tools. Expanded support now covers AMD, Intel, Apple Silicon, and ARM hardware [music] platforms. PyTorch 2.12 continues the framework's push toward faster, [music] more efficient, and production-ready AI development.