大模型
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雷神首款 AI 移动工作站 AI Master M7000 明日开售：64GB 内存运行 120B 模型，售价 1.99 万元
雷神宣布其首款 AI 移动工作站 AI Master M7000 将于 9 月 21 日 10:00 开售，叠加首发优惠与国补后售价 19900 元。该机搭载 AMD Ryzen AI Max+395 处理器、64GB 内存和专用 AI SSD，预装本地推理引擎 Herdsman，配备 16 英寸 2.5K 屏、99Wh 电池，并提供 OCuLink、2.5GbE 网口和 microSD UHS-II 读卡器。其运行 120B 模型依赖 Phison 的 aiDaptiv+ 方案，将 SSD 作为 GPU 显存的扩展，在推理时从固态硬盘临时调取权重，从而在消费级内存上支持 GPT-OSS-120B 等模型的长上下文吞吐。
AI推荐理由 内容为雷神 AI Master M7000 移动工作站的发售预告，给出了具体配置（AMD Ryzen AI Max+395、64GB 内存、99Wh 电池、OCuLink 等）和 19900 元价格，并说明通过 Phison aiDaptiv+ 将 SSD 作为显存扩展来运行 120B 模型，属于有具体产品信息的硬件发布。但来源为 AIbase 聚合转载，非厂商官方首发，'驯服 120B 大模型''把数据中心装进背包'等表述带有营销色彩，实际推理性能、吞吐和延迟均无实测数据支撑，需谨慎看待。
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The First AI Mobile Workstation of Thor Will Be Available for Sale Tomorrow: 64GB Memory Tames a 120B Model, 19,900 Yuan Brings a Data Center to Your Backpack
AIbase基地
Published inAI News · 3 min read · Sep 20, 2026
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Thunder is looking to give the idea of "running large models locally" a more powerful solution. On September 20, Thunder announced that its first AI mobile workstation, AI Master M7000, will be available for purchase tomorrow (September 21) at 10:00 AM. It claims to "tame" a 120-billion parameter model on the edge, with a final price of 19,900 RMB after combining the initial discount and national subsidies. The device covers four scenarios—creation, development, research, and confidential work—all in one scope. This means that what used to only reside in server rooms can now fit into a 2.45kg machine.
The "heart" of this device is the AMD Ryzen AI Max+395 processor, paired with 64GB of memory and a dedicated AI SSD. It comes pre-installed with the local inference engine Herdsman (Herdsman), allowing users to start working immediately upon booting up without the hassle of environment configuration. The screen is a 16-inch 2.5K panel, with an internal 99Wh battery. The chassis includes OCuLink, 2.5GbE Ethernet port, and a microSD UHS-II card reader, showcasing a layout that clearly reflects the look of a workstation.
What really enables a 120B model to run smoothly on 64GB of memory is Phison's aiDaptiv+ solution. Its approach is clever: treating the SSD as an extension of the GPU memory, temporarily borrowing weights from the solid-state drive during inference, effectively expanding the memory capacity without being noticeable. With this strategy, models like GPT-OSS-120B no longer need to rely on professional GPUs; even consumer-grade memory can handle long context throughput.
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