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NVIDIA ships Dynamo Recipes to speed up production deployment of Korea's leading open-weight models
NVIDIA released Dynamo Recipes on November 8, 2026, offering ready-made B200 deployment configurations for four Korean open-weight models ahead of AI Day Seoul.
NVIDIA announced Dynamo Recipes on November 8, 2026, publishing ready-made deployment configurations for four of Korea's leading open-weight models, as detailed in NVIDIA Dynamo Recipes Bring Korea's Leading Open Models to Production.
What changed
- Dynamo Recipes are optimized deployment configurations built for NVIDIA B200 GPUs.
- The recipes cover four Korean open-weight models: A.X K2 (SK Telecom), K-EXAONE 2.0 (LG AI Research), Solar Open 2 (Upstage), and Motif-3 (Motif Technologies).
- NVIDIA says the recipes deliver up to 2x performance out of the box compared to unoptimized deployment.
- The release was timed to NVIDIA AI Day Seoul, held November 9-10, 2026 at COEX in Seoul.
- LG AI Research separately opened API access to K-EXAONE-2.5, built using NVIDIA's Nemotron datasets.
- The Nemotron-Personas-Korea dataset behind K-EXAONE-2.5 contains 7 million fully synthetic Korean personas grounded in official statistics.
Why it matters for builders
For developers self-hosting open-weight models, Dynamo Recipes provide a concrete, vendor-tested path to production-grade inference performance on B200 hardware instead of tuning deployment configurations from scratch. The release also signals NVIDIA's growing investment in supporting open-weight model ecosystems outside the United States.
Sovereign AI gives nations the power to turn their language, culture and expertise into intelligence, NVIDIA CEO Jensen Huang said.
Availability and context
The recipes arrive alongside NVIDIA AI Day Seoul, running November 9-10, 2026 at COEX in Seoul. LG AI Research's parallel move to open API access for K-EXAONE-2.5 points to continued momentum behind Korean open-weight models built with NVIDIA's data tooling.
Sources
- NVIDIA Dynamo Recipes Bring Korea's Leading Open Models to Production (NVIDIA, November 8, 2026, official)
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