What changed
NVIDIA is releasing Dynamo-optimized deployment recipes for Korea’s leading 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. These recipes are designed to simplify the deployment of large models across multiple GPUs.
What this means in practice
The deployment recipes are optimized for NVIDIA B200 GPUs and are intended to reduce the complexity of deploying models that exceed the capacity of a single GPU. By handling request routing and communication between GPUs, these recipes aim to maximize inference performance, delivering up to 2x performance improvements out of the box. This helps developers bring Korea’s open models into production more quickly and make them accessible as AI for All services.
Limitations and availability
The supplied announcement does not specify the exact conditions under which the performance improvements were measured. The recipes are optimized for NVIDIA B200 GPUs and are part of the NVIDIA Dynamo framework, which is an open-source, distributed inference-serving framework. The availability of these recipes is tied to the deployment of the models in multi-node environments at data center scale. The announcement does not specify whether these recipes are available for immediate use or require further setup.
