DeepSeek teams up with Huawei on Ascend chip programming tools, unveiling open-source CUDA alternative TileLang
chips deepseek open-source
| Source: Techmeme | Original article
DeepSeek has partnered with Huawei to develop programming tools for Huawei's Ascend chips, including TileLang, an open‑source alternative to CUDA.
DeepSeek announced a partnership with Huawei Technologies to build a suite of programming tools for the Chinese maker’s Ascend AI chips. Central to the collaboration is TileLang, an open‑source language positioned as an alternative to NVIDIA’s CUDA ecosystem. The two firms said the joint effort will deliver development frameworks that enable developers to write, compile and optimise code for Ascend hardware without relying on proprietary NVIDIA tools.
The move matters because Ascend chips have become a cornerstone of China’s push for domestic AI compute, yet the lack of a mature software stack has limited their adoption outside Huawei’s own ecosystem. By offering TileLang as a free, community‑driven option, DeepSeek aims to lower the barrier for researchers and enterprises to target Ascend, potentially shifting a portion of the AI development workload away from the CUDA‑dominant market. The partnership also signals a broader trend of Chinese AI firms investing in open‑source infrastructure to reduce dependence on foreign technology.
What to watch next includes the timeline for TileLang’s first public release and the extent of its compatibility with existing deep‑learning frameworks. Observers will also be keen to see whether other chip vendors adopt similar open‑source toolchains, and how the broader AI community responds to a non‑CUDA programming model. Finally, the collaboration could influence the competitive dynamics between Huawei’s Ascend platform and established players such as NVIDIA and AMD, especially if TileLang gains traction in the rapidly expanding AI software ecosystem.
Sources
Back to AIPULSEN