NVIDIA推出Nemotron3Embed嵌入向量模型系列，专为生产级RAG、智能体检索、代码检索和记忆场景设计。8B版本在RTEB基准测试中排名第一，成为性能最强的开源嵌入模型。系列包含三个开放检查点：精度优先的Nemotron-3-Embed-8B-BF16、轻量化的1B-BF16版，以及针对Blackwell架构优化的1B-NVFP4四比特版本，所有模型均采用双向注意力机制。
6月29日，英伟达宣布微软Azure全面上线Anthropic的Claude系列大模型。部署基于最新的GB300 Blackwell Ultra超级芯片，旨在为开发者和企业提供顶级推理能力。此举再次凸显算力架构升级对AI应用落地的关键作用，也标志着微软AI生态建设迈出重要一步。
Anthropic的Claude模型已在微软Azure面向企业全面开放，部署采用英伟达最新Blackwell Ultra GB300 GPU平台，整合GB300NVL72系统。此举标志着企业级AI代理应用迈入高性能算力支撑的新阶段。
特斯拉下一代AI5芯片已完成流片，预计2027年量产，将接替AI4成为自动驾驶和人形机器人的核心算力平台。其单芯片性能媲美英伟达Hopper架构，双芯配置表现更优。
NVIDIA GeForce RTX 5070 Ti显卡，采用Blackwell架构，支持DLSS 4技术，为游戏和创作带来强大性能。
开创计算新时代的NVIDIA Blackwell平台现已发布
mratsim
GLM-4.5-Iceblink-v2-106B-A12B-FP8是基于GLM-4.5-Iceblink-v2-106B-A12B模型，采用最先进的混合专家量化方法进行FP8量化的版本。该模型专门针对支持硬件FP8的Ada、Hopper或Blackwell系列GPU优化，在保持高质量输出的同时显著提升推理效率。
QuantStack
这是基于Danrisi的Flux架构文本到图像模型UltraReal Fine-Tune的Nunchaku量化（SVDQ）版本。该模型提供了两种量化格式：INT4适用于非Blackwell架构GPU（50系列之前），NVFP4适用于Blackwell架构GPU（50系列），旨在降低硬件需求同时保持图像生成质量。
spooknik
这是UltraReal Fine-Tune模型的SVDQ量化版本，由Danrisi基于Flux开发，是一款文本到图像生成模型。该版本提供了多种量化方案，适配不同GPU硬件，特别针对非Blackwell系列和Blackwell系列GPU进行了优化。
这是Project0模型的SVDQ量化版本，基于Flux Dev和Flux Krea创建的文本到图像模型。该模型提供了多种量化格式，针对不同GPU架构进行了优化，包括INT4和FP4量化版本，适用于Blackwell和非Blackwell GPU用户。
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