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- PyTorch
PyTorch + vLLM = ♥️ Key takeaways: PyTorch and vLLM are both critical to the AI ecosystem and are increasingly being used together for cutting-edge generative AI applications, including inference, post-training, and agentic systems at…
- PyTorch – PyTorch
PyTorch is an open source machine learning framework that accelerates the path from research prototyping to production deployment Built to offer maximum flexibility and speed, PyTorch supports dynamic computation graphs, enabling researchers and developers to iterate quickly and intuitively
- PyTorch 2. 7 Release
We are excited to announce the release of PyTorch® 2 7 (release notes)! This release features: support for the NVIDIA Blackwell GPU architecture and pre-built wheels for CUDA 12 8 across Linux x86 and arm64 architectures
- PyTorch 2. 4 Release Blog – PyTorch
We are excited to announce the release of PyTorch® 2 4 (release note)! PyTorch 2 4 adds support for the latest version of Python (3 12) for torch compile AOTInductor freezing gives developers running AOTInductor more performance-based optimizations by allowing the serialization of MKLDNN weights
- End-to-end Machine Learning Framework – PyTorch
PyTorch enables fast, flexible experimentation and efficient production through a user-friendly front-end, distributed training, and ecosystem of tools and libraries
- Get Started - PyTorch
To install the latest PyTorch code, you will need to build PyTorch from source Prerequisites Install pip Install CUDA, if your machine has a CUDA-enabled GPU If you want to build on Windows, Visual Studio with MSVC toolset, and NVTX are also needed The exact requirements of those dependencies could be found out here
- FlexAttention: The Flexibility of PyTorch with the Performance of . . .
To solve this hypercube problem once and for all, we introduce FlexAttention, a new PyTorch API We provide a flexible API that allows implementing many attention variants (including all the ones mentioned in the blog post so far) in a few lines of idiomatic PyTorch code
- PyTorch 2. 5 Release Blog
We are excited to announce the release of PyTorch® 2 5 (release note)! This release features a new cuDNN backend for SDPA, enabling speedups by default for users of SDPA on H100s or newer GPUs
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