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ROBOTS & HARDWARE WATCH TECHNICAL

NVIDIA says LG opens API access to K-EXAONE-2.5 and shares faster recipes for Korean open models

According to a post on X by @NVIDIAAI, LG AI Research is opening API access to K-EXAONE-2.5, a model NVIDIA says was trained on NVIDIA Nemotron datasets. The same post says Hyundai Motor Group is exploring NVIDIA's NemoClaw and OpenShell for secure enterprise agents. NVIDIA also describes new Dynamo deployment recipes for SK Telecom's A.X K2, LG's K-EXAONE 2.0, Upstage's Solar Open 2 and Motif-3, which it says deliver up to 2x inference performance on hardware the excerpt does not fully name.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-10T02:40:00+00:00 Detected 2026-11-10T18:23:44+00:00
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According to a post on X by @NVIDIAAI, LG AI Research is opening API access to K-EXAONE-2.5, a model NVIDIA says was trained on NVIDIA Nemotron datasets. The same post says Hyundai Motor Group is exploring NVIDIA's NemoClaw and OpenShell for secure enterprise agents. NVIDIA also describes new Dynamo deployment recipes for SK Telecom's A.X K2, LG's K-EXAONE 2.0, Upstage's Solar Open 2 and Motif-3, which it says deliver up to 2x inference performance on hardware the excerpt does not fully name.

AI-assisted summary based on the listed source.

In NVIDIA posts reshared by LG AI Research, NVIDIA says LG is opening API access to K-EXAONE-2.5, trained on NVIDIA Nemotron datasets, while Hyundai Motor Group is exploring NVIDIA's NemoClaw and OpenShell for secure enterprise agents. New NVIDIA Dynamo deployment recipes for SK Telecom's A.X K2, LG's K-EXAONE...

Developers and enterprises working with Korean-language open models may find more options for API access and deployment. Teams running these models could see faster inference if the recipes perform as NVIDIA describes. The excerpt is truncated, so the full post and LG's own announcement should be checked for details such as pricing, hardware and availability.

Hardware and robotics watchers may want to track whether this becomes a product, benchmark, or deployment signal.

Signal Strength 82% Technical label WATCH Public Interest 60 Category ROBOTS & HARDWARE Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 82 Practical Impact Score 20 Novelty Interest Score 94 Consequence Score 54 Curiosity Score 16 Shareability Score 67

VQV surfaced this signal because it is recent, relevant to AI Chips, connected to Scobleizer News Pulse (X).