英伟达为4款韩国开放模型发布Dynamo部署配方：针对B200图形处理器优化，称开箱性能最高可达2倍
英伟达11月8日在其官方博客宣布，正在为四款韩国开放模型发布经 Dynamo 优化的部署配方。这四款模型分别为 SK Telecom 的 A.X K2、LG AI Research 的 K-EXAONE 2.0、Upstage 的 Solar Open 2 与 Motif Technologies 的 Motif-3，英伟达在博文中称其为韩国领先的开放模型。
据博文介绍，NVIDIA Dynamo 是一个开源的分布式推理服务框架，用于在数据中心规模的多节点环境中部署模型；当模型规模超出单块图形处理器（GPU）的容量时，模型必须拆分到多块 GPU 上运行，需要对请求路由与通信进行协调以维持性能，Dynamo 负责处理这一路由与通信，以最大化推理性能。
英伟达称，这批配方针对 NVIDIA B200 GPU 优化，省去部署中的摸索环节，开箱即可实现最高可达2倍的性能，并帮助开发者更快地把韩国开放模型投入生产、转化为可广泛使用的服务。博文未说明该2倍数字的对比基准与测试负载。博文作者为 Amr Elmeleegy，文末附有指向 Dynamo 产品页的链接。
NVIDIA Releases Dynamo Deployment Recipes for Four Korean Open Models, Optimized for B200 GPUs With Up to 2x Performance Out of the Box
NVIDIA announced in a November 8 post on its official blog that it is releasing Dynamo-optimized deployment recipes for four Korean open models: A.X K2 from SK Telecom, K-EXAONE 2.0 from LG AI Research, Solar Open 2 from Upstage and Motif-3 from Motif Technologies, which the company described as Korea's leading open models.
According to the post, NVIDIA Dynamo is an open source, distributed inference-serving framework built to deploy models in multi-node environments at data center scale. As models grow beyond the capacity of a single GPU, they must be split across multiple GPUs, requiring careful coordination of request routing and communication to maintain performance, and Dynamo handles this routing and communication to maximize inference performance.
NVIDIA said the recipes are optimized for NVIDIA B200 GPUs, take the guesswork out of deployment and deliver up to 2x performance out of the box, helping developers bring Korea's open models into production faster and turn them into broadly accessible services. The post did not name the baseline or workload for the 2x figure. The post was bylined to Amr Elmeleegy and linked to the NVIDIA Dynamo product page.
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来源：英伟达官方博客
发布：GSM·美国（发布链接）
图片来源：位于加州圣克拉拉的英伟达总部。（Wikimedia Commons／CC BY-SA 4.0）| NVIDIA headquarters in Santa Clara, California. (Wikimedia Commons / CC BY-SA 4.0)
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