Tether AI 宣布将在 QVAC SDK 0.12.0 中集成开源 TurboQuant 实现。TurboQuant 最初由 Google Research 提出，可将大模型运行过程中所需的 KV Cache 内存压缩最高 5 倍，从而支持更长上下文、更大文档及更长时间对话在本地设备运行。Tether 表示，该技术将适用于笔记本电脑、手机、边缘设备及去中心化 AI 网络，并作为其推动本地化与去中心化 AI 战略的一部分。https://t.co/a8NdZeVEBj

Tether AI Upgrades QVAC SDK, Bringing TurboQuant to Everyday Devices, Giving Local AI Data Center-Sized Memory Learn more: https://t.co/mF2uwDB8rv

Tether AI 宣布将在 QVAC SDK 0.12.0 中集成开源 TurboQuant 实现。TurboQuant 最初由 Google Research 提出，可将大模型运行过程中所需的 KV Cache 内存压缩最高 5 倍，从而支持更长上下文、更大文档及更长时间对话在本地设备运行。Tether 表示，该技术将适用于笔记本电脑、手机、边缘设备及去中心化 AI 网络，并作为其推动本地化与去中心化 AI 战略的一部分。https://t.co/a8NdZeVEBj

QVAC SDK 0.12.0 is now live, bringing longer context, increased memory optimisation, new modalities, and broader ecosystem support directly to your device. Key Features and Updates: - TurboQuant KV-Cache Quantization: Fit much longer context in the same memory. TurboQuant, an algorithm from Google

🚨🤖Tether AI ships TurboQuant KV-Cache Quantization within QVAC SDK 0.12.0, compressing the KV cache memory requirements by up to 5x, near-lossless. https://x.com/qvac/status/2061433273729818633

🚨🤖Tether AI ships TurboQuant KV-Cache Quantization within QVAC SDK 0.12.0, compressing the KV cache memory requirements by up to 5x, near-lossless. Effective high-quality local AI is one step closer! https://x.com/qvac/status/2061433273729818633

Tether AI unlock as promised. TurboQuant KV-Cache Quantization for everyone! https://tether.io/news/tether-ai-upgrades-qvac-sdk-bringing-turboquant-to-everyday-devices-giving-local-ai-data-center-sized-memory/ https://x.com/paoloardoino/status/2061134361991291025

Tether AI unlock as promised. TurboQuant KV-Cache Quantization for everyone! https://x.com/tether/status/2061433474595147940

RT @paoloardoino: Tether AI unlock as promised. TurboQuant KV-Cache Quantization for everyone! https://t.co/iGBZlyIzyV

Your local AI just got up to 5x more memory. Same model. Same device. Nearly zero accuracy loss. QVAC SDK 0.12.0 integrates TurboQuant - Google Research's latest memory optimisation algorithm. What is TurboQuant? The KV cache is the memory your model uses to track a conversation. As context grow

🔥 UPDATE: Tether AI open-sourced TurboQuant, cutting LLM KV cache memory use by up to 5x. https://t.co/ggIX01jk6d

Tether AI open-sources TurboQuant, reducing LLM KV cache memory use by 5x