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NVIDIA Adds B200 Inference Configurations for Four Korean Open Models

The four systems come from SK Telecom, LG AI Research, Upstage and Motif Technologies.

Updated 1 min read
A technician examines accelerator boards in a multi-GPU test chassis at a Seoul laboratory. / TokenPost.ai (mono)
A technician examines accelerator boards in a multi-GPU test chassis at a Seoul laboratory. / TokenPost.ai (mono)

NVIDIA has published deployment configurations for four open models developed in South Korea, giving developers a way to run inference across multiple B200 GPUs when a model outgrows one processor.

The models are SK Telecom’s A.X K2, LG AI Research’s K-EXAONE 2.0, Upstage’s Solar Open 2 and Motif Technologies’ Motif-3.

NVIDIA’s open-source Dynamo framework routes requests among GPU workers and coordinates inference across nodes.

The recipes add model-specific deployment guidance for Dynamo. On Nov. 5, Supermicro, IBM and NVIDIA announced a shared key-value cache system using Dynamo, aimed at reusing prompt data and reducing processing time for long-context AI inference.

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