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Huawei is making its Ascend AI GPU software toolkit open-source to better compete against CUDA
Huawei is getting better at making AI GPUs. Now it wants to increase adoption of its technology on the software side Huawei has greenlit a plan to open-source its CANN software toolkit for its Ascend AI GPUs. According to the South China Morning Post, Huawei is making this move in order to better compete against Nvidia and its closed-source CUDA software ecosystem. Open-sourcing CANN, or Compute Architecture for Neural Networks, could further speed up developer innovation and improve the usability of Huawei's Ascend AI GPUs. Furthermore, Huawei has reportedly already held talks with China's leading AI players, business partners, universities, and research institutions on how to build an open-sourced Ascend ecosystem. CANN is a heterogeneous computing architecture that provides multi-layer programming interfaces to help users build AI applications tailored to Huawei's Ascend AI GPUs. At a high level, it's Huawei's version of CUDA, which provides the same interfaces for Nvidia GPUs. Huawei's decision to open-source its CANN software kit could further enhance China's effort to build self-sufficiency from Western chipmakers and help incentivize developers to build software for its Ascend AI GPUs. The performance of those chips is catching up to Nvidia's Blackwell B-series GPUs in the right environment. Nvidia is notorious for keeping its CUDA programming language a closed-off "moat" or "swamp", a trait that has been a key frustration for developers for years. CUDA is a tightly bound ecosystem that has very little support beyond Nvidia's own hardware, forcing developers to use Nvidia GPUs exclusively if they want to build software in CUDA. There have been initiatives like ZLUDA that have attempted to bring CUDA functionality to other GPU vendors (through a translation layer), but they have largely been unsuccessful due to pushback by Nvidia. Nvidia banned the use of translation layers in 2024, starting with CUDA version 11.6. Making CANN open-source could provide Huawei with an accelerated avenue to adoption for its homebrewed software toolkit. However, it will likely take years before CANN will approach the maturity of CUDA, which has been around for nearly 20 years and has been constantly updated since its release.
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Huawei releases AI toolkit to weaken NVIDIA's hold on developers
Huawei Ascend AI chip is on display during a Huawei Data Infrastructure Summit. Huawei Technologies is opening up its core AI development toolkit, CANN. The Compute Architecture for Neural Networks powers applications built for the company's Ascend AI chips. By making it open-source, Huawei hopes to attract more developers and challenge NVIDIA's dominance, just as Beijing seems to be turning up the heat on the US chip giant. "This will speed up innovation from developers and make Ascend easier to use," said Eric Xu Zhijun, Huawei's rotating chairman, at the company's developer conference in Beijing on Tuesday.
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Huawei is open-sourcing its CANN software toolkit for Ascend AI GPUs, aiming to compete with NVIDIA's CUDA and attract more developers to its ecosystem.
Huawei Technologies has made a significant announcement in the world of artificial intelligence (AI) development. The Chinese tech giant has decided to open-source its Compute Architecture for Neural Networks (CANN) software toolkit, which powers applications built for the company's Ascend AI chips 12. This move is seen as a direct challenge to NVIDIA's dominance in the AI GPU market and its proprietary CUDA software ecosystem.
Source: Tom's Hardware
CANN is a heterogeneous computing architecture that provides multi-layer programming interfaces for developers to build AI applications tailored to Huawei's Ascend AI GPUs 1. It serves as Huawei's equivalent to NVIDIA's CUDA, offering similar interfaces for GPU programming. By making CANN open-source, Huawei aims to accelerate developer innovation and improve the usability of its Ascend AI GPUs.
NVIDIA has long maintained CUDA as a closed-source "moat," which has been a source of frustration for many developers 1. CUDA's tight integration with NVIDIA hardware has forced developers to use NVIDIA GPUs exclusively for CUDA-based software development. Huawei's decision to open-source CANN could provide an alternative path for developers seeking more flexibility in their AI development workflows.
This move aligns with China's broader efforts to achieve technological self-sufficiency, particularly in the face of Western trade restrictions. By open-sourcing CANN, Huawei is not only challenging NVIDIA but also potentially boosting China's domestic AI chip industry 1. The company has already engaged in discussions with leading Chinese AI players, business partners, universities, and research institutions to build an open-source Ascend ecosystem 1.
Source: Interesting Engineering
Eric Xu Zhijun, Huawei's rotating chairman, stated at the company's developer conference in Beijing that this initiative will "speed up innovation from developers and make Ascend easier to use" 2. However, industry experts note that it may take years for CANN to reach the maturity level of CUDA, which has been in development for nearly two decades 1.
While Huawei's move is ambitious, the company faces significant challenges in competing with NVIDIA's established ecosystem. The performance of Huawei's Ascend AI GPUs is reportedly catching up to NVIDIA's latest offerings in certain environments 1. However, building a robust developer community and comprehensive software support will be crucial for Huawei's success in this highly competitive market.
As the AI chip race intensifies, Huawei's open-source strategy could potentially reshape the landscape of AI software development, offering developers more choices and fostering innovation in the field.
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