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ENTITY TileLang

TileLang

PulseAugur coverage of TileLang — every cluster mentioning TileLang across labs, papers, and developer communities, ranked by signal.

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Total · 30d
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11 over 90d
Releases · 30d
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Papers · 30d
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TIER MIX · 90D
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SENTIMENT · 30D

1 day(s) with sentiment data

RECENT · PAGE 1/1 · 12 TOTAL
  1. RESEARCH · CL_311557 ·

    DeepSeek releases open-source DeepInfer inference framework

    DeepSeek has released DeepInfer, an open-source inference framework under the Apache 2.0 license. This framework is designed for large-scale inference and powers DeepSeek's production services, with the open-source vers…

  2. TOOL · CL_277756 ·

    DeepSeek-V4.1-Flash model runs on 8GB GPU with user-found bug fixes

    A user detailed their experience running the massive 510 GB DeepSeek-V4.1-Flash model on a modest home PC with an 8 GB GPU, achieving speeds of around 1.6-2.4 tokens/second. This was accomplished by modifying the model'…

  3. TOOL · CL_271858 ·

    DeepSeek open-sources AI infrastructure for Huawei Ascend hardware

    DeepSeek has released open-source Ascend-compatible versions of its TileLang, DeepGEMM, and DeepEP infrastructure components. These tools are designed to optimize AI model performance on Huawei Ascend hardware. The rele…

  4. SIGNIFICANT · CL_270507 ·

    DeepSeek, Huawei Open-Source Tools to Challenge Nvidia's AI Dominance · 10 sources tracked

    DeepSeek and Huawei have jointly released a suite of open-source tools designed to enhance the software ecosystem for Huawei's Ascend AI chips. This initiative aims to provide a viable alternative to Nvidia's dominant C…

  5. TOOL · CL_217590 ·

    vLLM Releases Version 0.28.0 with Cython Compatibility Fix

    The vLLM project has released version 0.28.0, which includes a fix to pin Cython below version 3.3 for arm64 tilelang sdist builds. This release also incorporates a cherry-pick from a previous commit and lists Kevin Luu…

  6. TOOL · CL_183220 ·

    New tropical convolution methods boost CNN efficiency and accuracy

    Researchers have introduced novel extensions to tropical convolutional neural networks (TCNNs) called compound tropical convolution (cTCNN) and parallel tropical convolution (pTCNN). These new operators aim to enhance t…

  7. RESEARCH · CL_158822 ·

    InstantSfM offers GPU-native structure-from-motion for deep learning era

    Researchers have developed InstantSfM, a novel GPU-native structure-from-motion system designed to integrate seamlessly with deep learning pipelines. This system addresses the limitations of traditional CPU-centric SfM …

  8. RESEARCH · CL_149044 ·

    Muxi GPU embraces open-source to build AI ecosystem

    Chinese GPU manufacturer Muxi has launched its new Xisi S600 super-node and Xisuo X300 scientific intelligence GPU. The company is emphasizing its MXMACA software stack, which aims to minimize migration costs for develo…

  9. TOOL · CL_51969 ·

    TileLang simplifies GPU kernel writing with Python interface

    A new programming language called TileLang aims to simplify GPU kernel development by offering a middle ground between high-level frameworks like Triton and low-level control like CUTLASS. TileLang allows developers to …

  10. RESEARCH · CL_31391 ·

    Moore Threads rallies open-source AI dev community for MUSA GPU ecosystem

    Chinese GPU maker Moore Threads has convened a meetup focused on integrating its MUSA architecture with key open-source large model inference frameworks like SGLang. The event brought together core developers from proje…

  11. RESEARCH · CL_21392 ·

    DeepSeek V4 achieves faster performance with custom kernels, replacing cuBLAS

    DeepSeek has developed a custom kernel stack, DeepGEMM and TileLang, which not only matches but surpasses the performance of NVIDIA's cuBLAS. This custom implementation achieves bitwise determinism and batch invariance,…

  12. RESEARCH · CL_09035 ·

    Alibaba's Qwen unveils FlashQLA for high-performance linear attention kernels

    Alibaba's Qwen team has released FlashQLA, a new set of high-performance linear attention kernels developed using TileLang. These kernels are designed to improve the efficiency of attention mechanisms in large language …