Skip to main content

DeepSeek and Huawei Develop Open-Source Tools for Ascend Chips

30 SEPTEMBER 2026·2 MIN READ·3 SOURCES·Trusted source

DeepSeek says it partnered with Huawei on programming tools for Ascend chips, including TileLang, an open-source alternative to the CUDA platform.

DeepSeek and Huawei Develop Open-Source Tools for Ascend Chips

Key takeaways · 3

  • 01

    Developers evaluating Ascend hardware should compare TileLang’s workload support and performance directly with their existing CUDA toolchains.

  • 02

    Open-source availability removes one access barrier, but usability at training and inference scale remains the central test.

  • 03

    Track documentation, hardware compatibility and developer adoption before treating TileLang as a practical CUDA replacement.

Tools for Ascend Hardware

DeepSeek says it partnered with Huawei to develop programming tools for Huawei’s Ascend chips. [1] The work includes TileLang, which Techmeme’s Reuters summary describes as an open-source alternative to the CUDA programming platform. [1] Newsquawk separately reported on September 30, 2026, that DeepSeek released open-source programming tools powered by Huawei Ascend chips. [2] Newsquawk placed the release within a recurring pattern of Chinese AI development routing around export controls on advanced foreign semiconductors, while saying the key historical question is whether domestic silicon can operate at scale for training and inference workloads. [2]

What it means

The immediate significance is software enablement: DeepSeek is pairing open-source programming tools with Huawei’s Ascend hardware rather than presenting a new model. TileLang’s positioning as a CUDA alternative makes CUDA the clearest competing platform referenced by the sources, while Newsquawk’s context places the effort against constraints on access to advanced foreign semiconductors. The practical test is therefore not simply whether developers can obtain the tools, but whether Ascend systems become usable at scale across training and inference. What the sources don't address: how TileLang performs, which workloads it supports, or how broadly developers have adopted it.

AI teams considering Huawei’s Ascend hardware now have an open-source programming effort to evaluate alongside the chips themselves. The decisive unanswered issues are whether the tooling supports relevant workloads and whether Ascend systems can perform reliably at training and inference scale.

Why it matters
Daily session

Put this to work — one session a day, built for your industry.

Create a free account for a daily session — eight questions and one real-work challenge, on the news that affects your role.

Start free

How this developed

  1. 30 September 2026

    DeepSeek and Huawei Develop Open-Source Tools for Ascend Chips

  2. 30 September 2026

    Event created from source cluster.

Sources

AI fluency, one session a day, built for your work.