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  1. 1
    TileLang DSL for high-performance GPU kernels gains attention●tile-ai/tilelang⬢github16314 min ago

    TileLang, a domain-specific language built to simplify writing high-performance kernels for GPUs, CPUs and other accelerators, is drawing attention among developers working on AI hardware efficiency. Written in Python, the project aims to streamline kernel development that would otherwise require low-level tuning, a growing pain point as demand for compute-optimized AI code keeps rising.

  2. 2
    DeepSeek and Huawei open-source Ascend AI tools to cut Nvidia reliance▼DeepSeek and Huawei release open-source Ascend AI programming tools to reduce reliance on Nvidia CUDA ecosystem — tools include compute and communication libraries, as well as Ascend support for TileLang✉newsTechnologySoftware9 min ago

    DeepSeek and Huawei have released open-source programming tools for Huawei's Ascend AI chips, including compute and communication libraries and Ascend support for TileLang. The move is aimed at reducing dependence on Nvidia's CUDA ecosystem and strengthening China's domestic AI software stack. It signals a growing effort to build viable alternatives to Nvidia's dominant platform for AI development.

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