DeepSeek Open-Sources Ascend Versions of TileLang, DeepGEMM and DeepEP as Huawei Details SuperPoD Flex, Pandaily reports
Reported by Pandaily · not yet confirmed by the company or a second independent outlet. We update this page when it is.
DeepSeek released Ascend versions of TileLang, DeepGEMM, DeepEP, TileKernels, FlashMLA and DeepSelect, while Huawei detailed a jointly defined 128-card SuperPoD Flex design. The source announcement was published on 2026-09-30, Pandaily reported.
China context
- Original name
- 深度求索
- Outside China
- Open weights · pandaily.com
- Claims
- Company-reported; not yet independently evaluated
- For builders
- Developers can now access Ascend-compatible implementations of DeepSeek's core libraries, enabling experimentation with Huawei hardware without starting from scratch.
- For investors
- The collaboration between DeepSeek and Huawei on SuperPoD Flex signals a maturing domestic AI infrastructure stack, which may affect the competitive landscape for AI hardware and software providers.
DeepSeek has open-sourced Ascend-adapted versions of several core infrastructure components: TileLang, DeepGEMM, DeepEP, TileKernels, FlashMLA and DeepSelect. Huawei also provided details on a jointly defined 128-card SuperPoD Flex design. The release was reported by Pandaily on 2026-09-30.
The open-sourcing of Ascend versions of TileLang, DeepGEMM and DeepEP indicates that DeepSeek's training and inference stack can now run on Huawei's Ascend hardware. The 128-card SuperPoD Flex design suggests a scale-out architecture for large model training. Verification of actual performance parity with NVIDIA-based systems would require independent benchmarks.
Developers outside China who rely on NVIDIA CUDA now have a reference implementation for porting DeepSeek's stack to Huawei Ascend, potentially reducing lock-in and enabling deployment on alternative hardware. Huawei gains a validated software stack for its Ascend chips, strengthening its position in the domestic AI infrastructure market.
For enterprises considering Huawei Ascend hardware, this release lowers the software barrier to running DeepSeek models. It may also influence procurement decisions in markets where NVIDIA GPUs are restricted or expensive.
A concrete next signal is whether DeepSeek publishes performance benchmarks comparing Ascend and NVIDIA implementations of these components. Another is whether third-party developers adopt the Ascend versions for production workloads.