NVIDIA Dynamo Recipes Bring Korea’s Leading Open Models to Production
NVIDIA introduces Dynamo-optimized deployment recipes for Korea’s top open models, enabling faster, scalable production deployment on multi-GPU systems.
NVIDIA is launching Dynamo-optimized deployment recipes tailored for four leading open models from Korea: A.X K2 by SK Telecom, K-EXAONE 2.0 by LG AI Research, Solar Open 2 by Upstage, and Motif-3 by Motif Technologies. These recipes address the challenge of deploying large models that exceed single-GPU capacity by distributing inference across multiple GPUs. The approach ensures efficient request routing and communication to sustain performance in data center environments.
NVIDIA Dynamo serves as an open-source, distributed inference-serving framework designed for multi-node, data center-scale deployments. It manages the complexities of model splitting and inter-GPU communication, allowing developers to focus on application development rather than infrastructure optimization. The framework is specifically optimized for NVIDIA B200 GPUs, ensuring compatibility with high-performance hardware.
The new recipes simplify the deployment process by providing pre-configured configurations that eliminate manual tuning. This reduces the time and expertise required to bring models into production, enabling faster integration into services. Developers can leverage these recipes to deploy models at scale without extensive adjustments to their infrastructure.
By accelerating the path to production, NVIDIA aims to make Korea’s open models more accessible for broader AI applications. The optimized recipes deliver up to twice the performance out of the box, enhancing efficiency for inference tasks. This initiative supports the goal of making advanced AI services widely available across industries.