NVIDIA announced new NVIDIA Dynamo deployment recipes that support four open models developed in South Korea, saying the recipes can deliver up to 2x inference performance.
NVIDIA · Dynamo deployment recipes
NVIDIA's Dynamo recipes target up to 2× inference performance for four Korean open models
New deployment recipes cover SKT's A.X K2, LG AI Research's K-EXAONE 2.0, Upstage's Solar Open 2 and Motif Technologies' Motif-3, aiming to help developers move these models into production faster.
2×
Maximum inference performance gain claimed by NVIDIA
4
Korean open model families covered in one update
0
Independent evaluations of the recipes available at time of writing
Claimed inference performance, relative to baseline
Each block = 1× baseline throughput. Baseline configuration was not disclosed.
Up to 2×
With Dynamo recipe (best case)
The four model families covered
K-EXAONE 2.0
LG AI Research
Motif-3
Motif Technologies
From open model to production
Korean open model
Developed in South Korea
→
Dynamo recipe
Preconfigured serving setup
→
Production deployment
On the developer's own infrastructure
What the update offers
Preconfigured setups for four Korean model families
A faster route to production for teams running models in-house
Stronger NVIDIA hardware and software support for domestic open-weight models
What remains unverified
The "up to 2×" is NVIDIA's own claim
Baseline setup, hardware and workload are not specified
No independent benchmarks yet
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