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Kog is going deeper to squeeze more inference out of GPUs | TechCrunch

2026-08-14 08:00 Chips & Hardware 🔥 28.9 heat score
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On August 14, 2026, TechCrunch reported that Kog is working to further exploit the reasoning potential of GPUs through technical measures. This initiative aims to maximize the utilization of computing resources at the hardware level, thereby improving overall reasoning performance and efficiency.

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Key entitiesKEY ENTITIES
AMDCerebrasGaël DelalleauKogNvidia

Coverage · reports per dayLANGUAGE SPLIT

Entity relations
AMD × Cerebras1AMD × Gaël Delalleau1AMD × Kog1AMD × Nvidia1Cerebras × Gaël Delalle…1Cerebras × Kog1

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Keyword heat
  • Kog1
  • Cerebras1
  • AMD1
  • Nvidia1
  • Gaël Delalleau1

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T TechCrunch 归档 8月 p10 en 2026-08-14 08:00

Kog is going deeper to squeeze more inference out of GPUs | TechCrunch

法国初创公司 Kog 致力于通过软件优化挖掘常规 GPU 的更多推理潜力,其 CEO Gaël Delalleau 表示该软件工程有望成为首个用例。Kog 在五月于 Hacker News 发布技术预览,证明标准数据中心 GPU(如 AMD MI300X 和 Nvidia H200)可实现极快单次请求解码,虽未覆盖笔记本电脑 GPU,但已吸引超过 200 个实质性商业线索。公司计划针对因延迟而放弃 AI 工作流的客户以及依赖提示词生成游戏和应用的设计合作伙伴,目前正专注于加速大模型开发以应对需求,目标是将大型语言模型推理速度提升 30 倍。尽管演示中基于开源 Laneformer 2B 小模型实现了每秒 3,000 个 token 的吞吐量,Delalleau 坚信该软件优化方法同样适用于参数规模更大的 LL…