Open-source AI development took centre stage at Huawei Connect 2025 last week, with Huawei laying out implementation timelines and the technical specifics around making its entire AI software stack publicly available by year-end.
The announcements came with context that matters to developers: frank acknowledgement of past friction, specific commitments about what components will be released, and details about how the software will integrate with existing workflows and operating systems.
Developer friction acknowledged
Eric Xu, Huawei’s Deputy Chairman and Rotating Chairman, opened his keynote with unusual candour about challenges developers have faced with Ascend infrastructure. Referencing the impact of DeepSeek-R1’s release earlier this year, Xu noted: “Between January and April 30, our AI R&D teams worked closely to make sure that the inference capabilities of our Ascend 910B and 910C chips can keep up with customer needs.”
Following customer feedback sessions, Xu stated: “Our customers have raised many issues and expectations they’ve had with Ascend. And they keep giving us great suggestions.”
Acknowledgement of developer pain points provided context for the comprehensive open-source commitments announced at the August 5, 2025 Ascend Computing Industry Development Summit and reinforced by Xu at Huawei Connect.
For developers who have struggled with Ascend tooling, documentation, or ecosystem maturity, the frank assessment signals awareness of gaps between the platform’s technical capabilities and its practical usability. The open-source strategy appears designed directly to address these friction points by enabling community contributions, transparency, and external improvements.
CANN: Compiler and virtual instruction set details
The most technically significant commitment involves CANN (Compute Architecture for Neural Networks), Huawei’s foundational toolkit that sits between AI frameworks and Ascend hardware. At the August summit, Xu specified: “For CANN, we will open interfaces for the compiler and virtual instruction set, and fully open-source other software.”
The tiered approach distinguishes between components receiving full open-source treatment versus those where Huawei will provide open interfaces with potentially proprietary implementations. The compiler and virtual instruction set – important translation layers that convert high-level code into hardware-executable instructions – will have open interfaces. This means developers can understand and potentially optimise how their code gets compiled for Ascend processors, even if the compiler implementation itself remains partially closed.
The distinction matters for performance tuning. Developers need visibility into compilation processes when working on latency-sensitive applications or are trying to extract maximum efficiency from hardware. Open interfaces provide that visibility; full open-source would additionally enable replacing or modifying the compiler…
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