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@PyTorch: PyTorch 2.14 brings CuTeDSL-generated CUTLASS kernels to Inductor through NVGEMM, a new nccl2 backend for PyTorch Distr…

X AI KOLs Following ↗ · 2026-09-02 Cached

PyTorch 2.14 introduces significant updates including NVGEMM for CUTLASS kernels in Inductor, a new nccl2 backend for distributed computing, first-class fault tolerance, and native linear algebra on Apple Silicon.

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@PyTorch: PyTorch 2.14 introduces updates to Inductor, PyTorch Distributed, c10d, dynamic shapes, Apple Silicon, and accelerator …

X AI KOLs Timeline ↗ · 2026-09-01 Cached

PyTorch 2.14 introduces updates to Inductor, PyTorch Distributed, dynamic shapes, Apple Silicon support, and more, with a live Q&A and PyTorchCon announcement.

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@jino_rohit: understanding the torch compile stack torch.compile is a technique to speed up your pytorch code. torch.compile makes t…

X AI KOLs Timeline ↗ · 2026-06-17 Cached

The article explains the torch.compile stack in PyTorch, detailing steps from API to Dynamo, FX graph, ATen ops, and Torch Inductor for JIT compilation.

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inductor

@PyTorch: PyTorch 2.14 brings CuTeDSL-generated CUTLASS kernels to Inductor through NVGEMM, a new nccl2 backend for PyTorch Distr…

@PyTorch: PyTorch 2.14 introduces updates to Inductor, PyTorch Distributed, c10d, dynamic shapes, Apple Silicon, and accelerator …

@jino_rohit: understanding the torch compile stack torch.compile is a technique to speed up your pytorch code. torch.compile makes t…

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