[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-tether-turboquant-cuts-ai-memory-use-5x-zh":3,"article-related-tether-turboquant-cuts-ai-memory-use-5x-zh":31,"series-blockchain-c054df55-967a-4a5a-8d7b-be8df18ee4a1":84},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":23,"views":27,"created_at":28,"published_at":29,"topic_cluster_id":30},"c054df55-967a-4a5a-8d7b-be8df18ee4a1","tether-turboquant-cuts-ai-memory-use-5x-zh","Tether TurboQuant 讓 AI 記憶體降 5 倍","\u003Cp data-speakable=\"summary\">Tether 在 QVAC SDK 0.12.0 釋出 \u003Ca href=\"\u002Ftag\u002Fturboquant\">TurboQuant\u003C\u002Fa>，主打\u003Ca href=\"\u002Fnews\u002Fwei-shen-me-tether-ba-ben-di-ai-ji-yi-tui-jin-ri-chang-zhuan-zh\">把本地\u003C\u002Fa> AI 的記憶體用量最高降到原本的 1\u002F5。\u003C\u002Fp>\u003Cp>Tether 的 Artificial Intelligence Research Group 把 TurboQuant 做成可直接用的生產版本，並整合進 \u003Ca href=\"https:\u002F\u002Ftether.io\" target=\"_blank\" rel=\"noopener\">Tether\u003C\u002Fa> 的 QVAC SDK 0.12.0。官方說法是，這個開源方法原本由 \u003Ca href=\"https:\u002F\u002Fresearch.google\u002F\" target=\"_blank\" rel=\"noopener\">Google Research\u003C\u002Fa> 開發，現在可把 local AI 工作負載的 \u003Ca href=\"\u002Ftag\u002Fkv-cache\">KV cache\u003C\u002Fa> 記憶體需求最多壓低 5 倍。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Memory reduction claim\u003C\u002Ftd>\u003Ctd>Up to 5x\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>SDK version\u003C\u002Ftd>\u003Ctd>QVAC SDK 0.12.0\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Model example\u003C\u002Ftd>\u003Ctd>4 billion parameters\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Context window example\u003C\u002Ftd>\u003Ctd>262,000 tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>KV cache memory example\u003C\u002Ftd>\u003Ctd>About 8 GB\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Four simultaneous sessions\u003C\u002Ftd>\u003Ctd>About 32 GB\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>發生了什麼\u003C\u002Fh2>\u003Cp>TurboQuant 盯上的，是本地 AI 最常卡住的地方之一：KV cache。這塊記憶體會在長對話、文件分析、持續推理時一路累積，模型越\u003Ca href=\"\u002Ftag\u002F長上下文\">長上下文\u003C\u002Fa>，吃掉的 RAM 就越多。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780543080527-tuse.png\" alt=\"Tether TurboQuant 讓 AI 記憶體降 5 倍\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>Tether 的說法是，TurboQuant 在維持模型品質的前提下，縮小了這部分的記憶體壓力。以一個 40 億參數模型、26.2 萬 \u003Ca href=\"\u002Ftag\u002Ftoken\">token\u003C\u002Fa> 上下文為例，單一會話的 KV cache 需求約 8 GB，若同時跑 4 個 session，記憶體就會逼近 32 GB。\u003C\u002Fp>\u003Cp>這次更新已經被塞進 QVAC SDK 0.12.0，並和 \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fggml-org\u002Fllama.cpp\" target=\"_blank\" rel=\"noopener\">llama.cpp\u003C\u002Fa> 生態中的 Fabric 整合。Tether 也把 SDK 的內容包得很完整，包含 libraries、tools、runtime、quantization pipeline、framework adapters、文件與 workload profiles。\u003C\u002Fp>\u003Cul>\u003Cli>TurboQuant 已進入 production release。\u003C\u002Fli>\u003Cli>它是開源方法，來源可追到 Google Research。\u003C\u002Fli>\u003Cli>目標平台包含筆電、手機、邊緣裝置與去中心化網路。\u003C\u002Fli>\u003Cli>官方強調可用來本機讀長文件，不必先送上雲端。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>為什麼重要\u003C\u002Fh2>\u003Cp>對開發者來說，這類工具的價值很直接：更大的上下文、更低的 RAM 壓力、比較少的\u003Ca href=\"\u002Fnews\u002Fapples-gemini-deal-turns-cloud-ai-into-local-ai-zh\">雲端\u003C\u002Fa>依賴。這代表做本地助理、文件工具、離線搜尋或 edge app 時，部署門檻可以再往下壓。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780543070373-ym5l.png\" alt=\"Tether TurboQuant 讓 AI 記憶體降 5 倍\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>和一般只看模型大小的優化不同，TurboQuant 是在處理「長上下文到底能不能跑得動」這個實務問題。對很多團隊來說，模型能不能裝進裝置只是\u003Ca href=\"\u002Fnews\u002Fsec-draft-plan-puts-crypto-rules-first-zh\">第一\u003C\u002Fa>步，能不能同時處理多輪對話、長文件和多個 session，才是產品能否落地的差別。\u003C\u002Fp>\u003Cp>對產業面來看，Tether 也在把自己從穩定幣公司往 AI 軟體供應商方向推。這種訊號很清楚：下一輪競爭不只看算力，還看效率、可攜性，以及能不能把推理成本壓到消費級硬體能承受的範圍。\u003C\u002Fp>\u003Cp>Paolo Ardoino 的核心訊息很直白：敏感或很長的任務，沒必要每次都先經過雲端。問題只剩一個，TurboQuant 會變成開發者真的會用的基礎零件，還是又一個漂亮 \u003Ca href=\"\u002Ftag\u002Fbenchmark\">benchmark\u003C\u002Fa>。\u003C\u002Fp>","Tether 把 TurboQuant 納入 QVAC SDK 0.12.0，主打把本地 AI 的 KV cache 記憶體需求最高壓到 5 倍以下，讓長上下文推理更適合筆電與邊緣裝置。","en.coin-turk.com","https:\u002F\u002Fen.coin-turk.com\u002Ftethers-latest-ai-upgrade-can-shrink-memory-by-up-to-5-times-what-do-investors-need-to-watch\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780543080527-tuse.png","blockchain","zh","0117641d-93d6-40f1-8b9e-158b8240493a",[17,18,19,20,21,22],"Tether","TurboQuant","QVAC SDK","本地 AI","KV cache","記憶體優化",[24,25,26],"TurboQuant 已整合進 QVAC SDK 0.12.0，主打本地 AI 記憶體最多降 5 倍。","它聚焦 KV cache 這個長上下文瓶頸，對筆電與邊緣裝置特別有用。","Tether 正把產品重心往 AI 軟體延伸，下一步看開發者是否真的採用。",0,"2026-06-04T03:17:19.987279+00:00","2026-06-04T03:17:19.98+00:00","1534679b-7605-4ede-a072-791c912656e7",{"tags":32,"relatedLang":43,"relatedPosts":47},[33,35,37,39,41],{"name":21,"slug":34},"kv-cache",{"name":19,"slug":36},"qvac-sdk",{"name":17,"slug":38},"tether",{"name":18,"slug":40},"turboquant",{"name":20,"slug":42},"本地-ai",{"id":15,"slug":44,"title":45,"language":46},"tether-turboquant-cuts-ai-memory-use-5x-en","Tether’s TurboQuant cuts AI memory use 5x","en",[48,54,60,66,72,78],{"id":49,"slug":50,"title":51,"cover_image":52,"image_url":52,"created_at":53,"category":13},"69e98914-0604-43c8-983d-acd95a85254a","coinstats-api-turns-crypto-data-into-one-stack-zh","CoinStats API 把資料堆成一層","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780545813537-m9zd.png","2026-06-04T04:03:06.503557+00:00",{"id":55,"slug":56,"title":57,"cover_image":58,"image_url":58,"created_at":59,"category":13},"cc43c07e-560d-4e10-8ac8-2c75dd030ee0","crypto-legality-by-country-banned-legal-unclear-zh","各國加密貨幣合法性一次看懂","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780534981049-hmax.png","2026-06-04T01:02:32.707639+00:00",{"id":61,"slug":62,"title":63,"cover_image":64,"image_url":64,"created_at":65,"category":13},"391a4e7b-5408-4755-8b79-59001b7c6bed","4-ways-us-bitcoin-perpetuals-could-reshape-crypto-zh","4 個美國比特幣永續合約的改變","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780532272934-ccpt.png","2026-06-04T00:17:26.679936+00:00",{"id":67,"slug":68,"title":69,"cover_image":70,"image_url":70,"created_at":71,"category":13},"b1bd7aaa-88cf-4d4e-87a7-46cef145aaf8","near-protocol-price-263-volume-jumps-zh","NEAR 漲到 2.63 美元，量能暴增","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780413484490-zoag.png","2026-06-02T15:17:38.4636+00:00",{"id":73,"slug":74,"title":75,"cover_image":76,"image_url":76,"created_at":77,"category":13},"f4dc3044-7373-4387-8ffd-90476bce4364","gemini-ai-solana-price-prediction-june-2026-zh","Gemini 看多 Solana 至 160 美元","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780265870326-g3jl.png","2026-05-31T22:17:26.356567+00:00",{"id":79,"slug":80,"title":81,"cover_image":82,"image_url":82,"created_at":83,"category":13},"63dda5f2-ae46-49c3-98a4-43a644a5fcd8","5-web3-applications-for-enterprise-teams-2026-zh","5 個企業團隊必看的 Web3 應用","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780246071979-c0d6.png","2026-05-31T16:47:21.317499+00:00",[85,90,95,100,105,110,115,120,125,130],{"id":86,"slug":87,"title":88,"created_at":89},"e1b4b518-f86b-410c-8c82-8cfb787ff2ef","moonpay-open-wallet-standard-ai-payments-zh","MoonPay 推 OWS，瞄準 AI 付款","2026-03-28T03:08:33.379969+00:00",{"id":91,"slug":92,"title":93,"created_at":94},"e72bae29-ddbd-437b-aaa4-cd662605394b","next-gen-crypto-simulators-ai-web3-training-zh","新一代加密模擬器更聰明了","2026-04-01T09:36:33.917023+00:00",{"id":96,"slug":97,"title":98,"created_at":99},"b8e39b58-6b9d-4714-92d3-26df18a3e0f4","rtk-cuts-claude-code-token-spend-zh","RTK 讓 Claude Code 少燒 Token","2026-04-01T10:24:29.259497+00:00",{"id":101,"slug":102,"title":103,"created_at":104},"7ff10146-4ca0-4670-a02c-384dde04f610","trm-labs-ai-agents-crypto-investigations-zh","TRM Labs 將 AI agent 帶進加密調查","2026-04-01T10:33:30.166266+00:00",{"id":106,"slug":107,"title":108,"created_at":109},"00668dea-9f0e-4019-b861-03817d5a8877","how-web3-marketing-changed-in-2026-zh","2026 Web3 行銷怎麼變了","2026-04-02T01:36:34.973322+00:00",{"id":111,"slug":112,"title":113,"created_at":114},"e7992274-42ee-40bc-bb05-97250098c56c","ai-agentic-defi-web3-grants-march-2026-zh","AI、Agentic DeFi 與 Web3 補助案","2026-04-02T05:51:36.857954+00:00",{"id":116,"slug":117,"title":118,"created_at":119},"5cef810b-af3d-467a-8b41-627769eca895","why-crypto-is-fixated-on-ai-agents-zh","為何加密圈盯上 AI Agent","2026-04-02T05:54:28.919864+00:00",{"id":121,"slug":122,"title":123,"created_at":124},"d30e6203-d522-41a1-b529-fcf4499cd985","web3-explained-what-it-is-why-it-matters-zh","Web3 是什麼，為何重要","2026-04-02T06:15:32.580114+00:00",{"id":126,"slug":127,"title":128,"created_at":129},"f29e65ae-64df-463b-ba22-afd9dcbd0f8f","trust-wallet-agent-kit-ai-trade-25-chains-zh","Trust Wallet 讓 AI 幫你交易","2026-04-02T06:27:33.183404+00:00",{"id":131,"slug":132,"title":133,"created_at":134},"91022b4c-b53e-4c18-abfe-914a8eca6e28","blockchain-in-ai-real-use-cases-zh","區塊鏈加 AI，真實落地在哪裡","2026-04-02T06:30:44.026286+00:00"]