---
title: "vLLM and PyTorch Work Together to Improve the Developer Experience on aarch64 – PyTorch"
url: https://daily.dev/posts/vllm-and-pytorch-work-together-to-improve-the-developer-experience-on-aarch64-pytorch-xeaahydba
source_url: https://pytorch.org/blog/vllm-and-pytorch-work-together-to-improve-the-developer-experience-on-aarch64
type: article
source: "PyTorch"
published: 2026-05-18T17:28:54.701Z
updated: 2026-05-18T17:29:15.861Z
tags: ["nvidia", "pytorch", "vllm"]
reading_time: 8
upvotes: 0
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# vLLM and PyTorch Work Together to Improve the Developer Experience on aarch64 – PyTorch

**[PyTorch](https://daily.dev/sources/pytorch)** · 8 min read · 0 upvotes · 0 comments

## Summary

PyTorch 2.11 resolves a long-standing packaging issue on aarch64 Linux: CUDA-enabled wheels are now published to the default PyPI index, so `pip install torch` on NVIDIA GH200, GB200, and GB300 systems no longer silently installs a CPU-only build. The post traces the problem from a 2024 hackathon frustration through vLLM's interim workarounds (use_existing_torch.py and uv build isolation config), to a formal fix coordinated via the PyTorch Foundation's Technical Advisory Committee. With PyTorch 2.11, standard install instructions now work out of the box on Grace Blackwell hardware, eliminating the need for custom index URLs and post-install sanity checks for most users.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://pytorch.org/blog/vllm-and-pytorch-work-together-to-improve-the-developer-experience-on-aarch64>

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---

Tags: [#nvidia](https://daily.dev/tags/nvidia), [#pytorch](https://daily.dev/tags/pytorch), [#vllm](https://daily.dev/tags/vllm)

[View this post on daily.dev](https://daily.dev/posts/vllm-and-pytorch-work-together-to-improve-the-developer-experience-on-aarch64-pytorch-xeaahydba)