[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-researchers-align-quantization-to-gpu-tiles-for-faster-llms":10,"sections":35},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":30,"feedback":34,"feedback_at":22,"cost_usd":34,"total_tokens":34},10826,"researchers-align-quantization-to-gpu-tiles-for-faster-llms","Researchers Align Quantization to GPU Tiles for Faster LLMs","A new post-training method, AlignQuant, aligns precision to GPU memory tiles, claiming up to 2.5x faster LLM generation without quality loss.","A new quantization technique called AlignQuant squeezes more speed out of large language models by matching precision choices to the way GPUs actually store and compute data.\n\nResearchers built a post-training quantization method that uses two-dimensional weight tiles, the same chunks GPUs already use for storage and computation, as the unit for deciding which parts of a model get more or fewer bits. The method scores each tile by how much reducing its precision would perturb the model's output, weighted by loss gradients, and calibrates jointly across both the prefill and decode phases of inference. Tiles judged more important keep higher precision, while the rest get packed into a smaller footprint and expanded back to INT8 at run time. The team tested four LLMs ranging from 3 billion to 14 billion parameters, across three GPU types and context lengths up to 64,000 tokens.\n\nMixed-precision quantization has long promised cheaper inference, but gains on paper don't always survive contact with real hardware. GPUs compute and store data in fixed-size blocks that have no notion of a model's internal sensitivity map, so clever bit-allocation schemes often get flattened out at runtime. AlignQuant's trick is making the tile the shared unit for precision, storage, and execution, which is why it reports up to 2.5x faster generation than BF16 with no stated quality loss.\n\nThe code is open-source on GitHub, so the real test is whether other teams can reproduce that 2.5x figure outside the paper's own benchmarks.","[\"quantization\",\"llm-inference\",\"gpu-acceleration\",\"open-source\"]","2026-10-08T04:00:00.000Z","2026-10-09T16:55:10.508Z","2026-10-09T16:55:15.847Z","published",null,[],"ai",[26,27,28,29],"quantization","llm-inference","gpu-acceleration","open-source",[31],{"name":32,"url":33},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2610.07457",0,{"sections":36},[37,41,45,50,55,60,64,69,74,79,84,89,94,99],{"name":38,"slug":24,"count":39,"latest_published_at":40},"AI",6604,"2026-10-09T04:00:00.000Z",{"name":42,"slug":43,"count":44,"latest_published_at":40},"Security","security",926,{"name":46,"slug":47,"count":48,"latest_published_at":49},"Policy","policy",486,"2026-10-08T22:40:11.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Deals","deals",474,"2026-10-08T22:00:00.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":59},"Hardware","hardware",229,"2026-10-08T20:47:10.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":40},"Science","science",192,{"name":65,"slug":66,"count":67,"latest_published_at":68},"Consumer Tech","consumer-tech",181,"2026-10-08T23:26:35.000Z",{"name":70,"slug":71,"count":72,"latest_published_at":73},"Startups","startups",117,"2026-10-08T16:45:00.000Z",{"name":75,"slug":76,"count":77,"latest_published_at":78},"Software","software",114,"2026-10-08T17:57:01.000Z",{"name":80,"slug":81,"count":82,"latest_published_at":83},"Dev Tools","dev-tools",105,"2026-10-07T16:59:11.000Z",{"name":85,"slug":86,"count":87,"latest_published_at":88},"General","general",66,"2026-10-09T04:46:11.000Z",{"name":90,"slug":91,"count":92,"latest_published_at":93},"Gaming","gaming",58,"2026-10-08T20:08:45.000Z",{"name":95,"slug":96,"count":97,"latest_published_at":98},"Reviews","reviews",34,"2026-10-08T14:00:22.000Z",{"name":100,"slug":101,"count":102,"latest_published_at":103},"How-To","how-to",8,"2026-10-05T09:00:00.000Z"]