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CANN Bench is an open benchmark for evaluating AI-generated operator kernels on Huawei's Ascend NPU, covering 53 operators and 1060 test cases across multiple precision formats and difficulty tiers.
Recommend Li Bojie (Huawei's genius boy) AI Agent practice book, content based on actual teaching and code practice, focusing on hands-on practicality.
A Micron engineer questions whether Huawei's proposed "Tau (τ) Law" is a revolutionary breakthrough, arguing it merely repackages existing technologies like advanced packaging, and criticizes the frequent "little essays" and "fanfare" narratives in China's semiconductor sector as lacking substance.
Chinese companies are increasingly allocating AI accelerator budgets to domestic suppliers like Huawei and Hygon, reducing reliance on Nvidia amid US-China tensions. A Bloomberg survey shows 46% of spending will go to domestic products in the next year, up from 30%.
Goldman Sachs released a report stating that China's AI data center investment will reach 2 trillion RMB in the next five years, but domestic chips are actually more expensive in terms of computing power cost than imported ones, with a significant gap between Huawei and Nvidia, and the China-US AI computing power battle is just beginning.
An analysis of how Meituan's LongCat Lab trained the LongCat 2.0 model on Huawei's 910C AI chips and CloudMatrix superpods, showcasing China's AI ecosystem overcoming US export controls. The article highlights Meituan's strategic pivot to an AI-driven lifestyle super app and Huawei's innovations in AI factory infrastructure.
Huawei open-sources OpenPangu-2.0-Flash, a 92B-parameter MoE model with 6B active parameters and 512K context, along with inference code and training operations.
A discussion about the risk of Chinese open-source AI models gaining market share and being optimized on Huawei chips, while the US lags in data center construction, as highlighted by Aravind Srinivas and Xiaoyin Qu.
Huawei press conference announced that the Pangu large model will make a comeback, planning to open-source weights on June 20, claiming it may surpass Claude and GPT to become the world's best.
A user asks about buying Chinese AI accelerators/GPUs for inference, specifically looking for Huawei alternatives to Nvidia, with support for vLLM or Llama.cpp.
A user questions why Huawei's Atlas cards are not widely adopted and speculates on China's potential to produce consumer GPUs to challenge Nvidia's monopoly.
Huawei announced openPangu 2.0, an open-source large model with 505B total parameters and a 28:1 sparsity ratio, optimized for Ascend computing and HarmonyOS, with key components to be open-sourced starting June 30.
China is reportedly planning a $295 billion investment in AI data centers over five years, prioritizing domestic suppliers like Huawei to reduce reliance on US chipmakers such as Nvidia.
Huawei has open-sourced its CANN software toolkit to compete with Nvidia's CUDA, and DeepSeek V4 shows significant inference performance improvements on Huawei Ascend chips.
Huawei announces a new chip design breakthrough claiming 1.4nm-equivalent performance by 2031, attributing its progress to U.S. export controls, while Nvidia's CEO acknowledges conceding the China AI chip market to Huawei.
Huawei unveils the Tau Scaling Law, a chip architectural workaround to bypass US sanctions and achieve 1.4nm-equivalent transistor density by 2031, marking a significant step toward China's semiconductor self-sufficiency and altering the tech rivalry with Washington.
Jensen Huang responds to Huawei's Tao's Law, saying it is a breakthrough for Huawei but TSMC has been deeply involved in the related technology for 10 years, and explicitly stated that Huawei is a competitor.
Huawei discusses LogicFolding, a technique that compresses propagation time between adjacent flip-flops in circuit design, tightening critical paths and enabling faster chips. The company expects its high-end chips to achieve transistor density equivalent to 14 Å (1.4 nm) processes by 2031.
Norway's National Library is building a sovereign Norwegian LLM using 2 PB of Huawei OceanStor Dorado flash storage for its AI training data pipeline, addressing the need for a local language model.
Jensen Huang responds to a question about selling chips to Huawei, explaining that export controls on Nvidia chips won't stop China's AI progress due to Huawei's rise.