NVIDIA Releases Dynamo Recipes to Boost South Korea’s Open AI Models

NVIDIA has released optimized deployment recipes using its NVIDIA Dynamo framework for South Korea’s leading open AI models. The release aims to streamline production deployment, offering up to 2x performance out of the box for data center-scale inference.

Overcoming Multi-GPU Deployment Bottlenecks

As modern AI models expand past the memory and compute capacity of a single GPU, developers must partition them across multiple GPUs. Deploying models in these multi-node environments requires complex coordination of request routing and inter-GPU communication to avoid performance degradation.

NVIDIA Dynamo is an open-source, distributed inference-serving framework built specifically to manage these multi-node deployments at data center scale. It automates request routing and communication management to maximize model inference efficiency.

Targeted Open Models and Performance Upgrades

The new deployment recipes are tailored for four prominent South Korean open models:

• A.X K2 from SK Telecom
• K-EXAONE 2.0 from LG AI Research
• Solar Open 2 from Upstage
• Motif-3 from Motif Technologies

Optimized for NVIDIA B200 GPUs, these pre-configured recipes eliminate guesswork in inference setup. By enabling up to 2x performance gains immediately upon deployment, NVIDIA aims to help enterprise developers translate South Korea's open models into production-ready "AI for All" services faster.