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Nvidia AI Day Seoul: Korean Chips Join NVLink Fusion

At a glanceQuick answers
What did Nvidia announce in Seoul?
A wider sovereign AI deal with Korea’s science ministry, Rebellions chips in Nvidia racks with SK Telecom, Dynamo recipes for four Korean models, and physical AI and agent security projects.
Is there a new GPU order?
No. No GPU count, dollar figure or delivery date was announced at the event.
When do the Rebellions systems arrive?
The press release says Rebellions’ R200 systems are expected to be ready for deployment in 2028.
Editorial illustration on a near-white ground: a green computer chip linked by teal lines to a factory robot arm, an autonomous car, a server rack and a shield with a padlock, under the words AI Day Seoul, Nvidia, Nov 9 2026.
Fig 0Nvidia's Korea announcements span chips, cars, robots and secure agents. Made by CellCog's image agent, running GPT Image 2.5.

Nvidia used its AI Day Seoul event on November 9, 2026 to announce a set of Korea deals, and the biggest one is about chips that are not Nvidia’s. Rebellions, a Korean chip startup, will connect its next-generation R200 inference processors to Nvidia’s rack platform through NVLink Fusion, and SK Telecom plans to run those systems in its AI data center. Nvidia posted four blog announcements at 05:00 UTC and a joint press release the same morning, Seoul time.

The event opened at COEX in Seoul with more than 2,000 developers, startups and researchers, by Nvidia’s count. It also landed a day after Nvidia’s board opened an independent investigation into reports about Jensen Huang, which shaped the coverage in Korea. Below: what was announced, what it changes for builders, and what was not announced.

On this page · 8 sectionsOpen
  1. What Nvidia announced in Seoul
  2. Korean chips inside Nvidia’s racks
  3. Open models and Dynamo recipes
  4. Physical AI: chips, cars and robots
  5. Secure agents
  6. What was not announced
  7. What we are watching
  8. Sources
Key points5 · 6 min full read
  1. A navy server rack with a green chip badge.
    Nvidia announced a set of Korea deals at AI Day Seoul on November 9, 2026, at COEX, with more than 2,000 attendees by its count.
  2. A green chip and a teal chip joined by a navy bridge.
    Rebellions will connect its R200 NPUs to Nvidia racks through NVLink Fusion, SK Telecom will deploy them, and the systems are expected in 2028.
  3. A teal factory robot arm lifting a yellow box.
    The plan splits inference: Nvidia GPUs read the prompt (prefill) and Rebellions NPUs write the answer (decode).
  4. A teal shield with a white padlock.
    Nvidia released Dynamo recipes for four Korean open models on B200 GPUs and claims up to 2x performance; Hyundai is exploring OpenShell.
  5. A navy delivery box with a teal check mark.
    No new GPU order or dollar figure was announced; Korea’s ministry expects contracted Nvidia GPU deliveries to continue.

§ 01What Nvidia announced in Seoul

The announcements fall into five groups. None of them includes a new GPU order or a dollar figure.

Area Who What was announced
Sovereign AI Korea’s Ministry of Science and ICT Wider collaboration on chips, data centers, training, startups, models and security
Korean chips Rebellions and SK Telecom R200 NPUs joined to Nvidia racks through NVLink Fusion and MGX
Open models SK Telecom, LG AI Research, Upstage, Motif Dynamo deployment recipes for four Korean open models
Physical AI Samsung, Kakao Mobility, LG Electronics Chip simulation, level 4 driving work, factory robot training
Secure agents Hyundai Motor Group, AIM Intelligence, LG AI Research OpenShell and NemoClaw work, K-EXAONE-2.5 API access
Table 1Nvidia’s AI Day Seoul announcements, November 9, 2026

§ 02Korean chips inside Nvidia’s racks

NVLink Fusion is Nvidia’s way of letting other companies’ processors sit in its rack-scale systems and talk to its GPUs over its high-speed links. Rebellions will connect its R200 neural processing units this way and build on Nvidia’s MGX rack design, which gives it a ready supply chain of manufacturers and parts.

The plan splits the work of answering a prompt between two kinds of chips. Nvidia GPUs handle prefill, reading the prompt; Rebellions NPUs handle decode, writing the answer one token at a time. The companies say this should improve throughput and power efficiency. SK Telecom plans to deploy the systems with its own models, including A.X K2, and its public AI services.

Animated diagram: a rack in the SK Telecom data center holds two Nvidia GPU trays and two Rebellions R200 trays joined by an NVLink Fusion bar; a prompt flows into the GPUs for prefill, tokens cross the bar, and the R200s fill an answer card for decode, tagged expected 2028
Fig 1One request, two kinds of chips: Nvidia GPUs read the prompt, Rebellions R200s write the answer

“Korea has the talent, technology and industrial ambition to become a world leader in AI,” Jensen Huang said in the release. Korea’s science minister, Bae Kyung-hoon, said the government will support the work across areas including physical AI and “securing GPU supply.”

The timing is the catch: the release says Rebellions’ R200 systems are expected to be ready for deployment in 2028. This is a plan for the next rack generation, not hardware anyone can rent now.

§ 03Open models and Dynamo recipes

Nvidia is releasing Dynamo deployment recipes for four Korean open models: A.X K2 from SK Telecom, K-EXAONE 2.0 from LG AI Research, Solar Open 2 from Upstage and Motif-3 from Motif Technologies. Dynamo is Nvidia’s open source inference server for models too large for one GPU. The recipes are tuned for B200 GPUs, and Nvidia says they deliver “up to 2x performance out of the box.”

Separately, through Korea’s AI for All program, Nvidia will work with three selected consortia and four Korean foundation model builders on scaling inference with Dynamo. LG AI Research is opening API access to K-EXAONE-2.5, trained in part on Nemotron-Personas-Korea, an open dataset of 7 million synthetic Korean personas.

§ 04Physical AI: chips, cars and robots

The physical AI post names three projects, each with a number or a concrete step.

Company Work Reported result or plan
Samsung Electronics Quantum chemistry on its sMOL platform Up to 5x faster end to end
Samsung Electronics Chip thermal simulation with PhysicsNeMo About 18 hours on a 32-core CPU down to 41 seconds
Kakao Mobility Level 4 autonomous driving Hyperion, DRIVE AGX Thor and Halos, starting on Kia vehicles
LG Electronics CLOiD robot on a real factory floor GR00T-trained manipulation, Jetson AGX Thor on board
Table 2Physical AI results and plans Nvidia reported for Korea
Samsung's chip thermal run fell from about 18 hours to 41 secondsBar chart comparing a fine-grid CPU solve of about 1,080 minutes with a GPU coarse-grid solve of under one minute, the GPU bar highlightedFine grid, 32-core CPU1080Coarse grid, GPU with AI0.7Samsung's chip thermal run fell from about 18 hours to 41 secondsBar chart comparing a fine-grid CPU solve of about 1,080 minutes with a GPU coarse-grid solve of under one minute, the GPU bar highlightedFine grid, 32-core CPU1080Coarse grid, GPU with AI0.7
Fig 2Samsung's chip thermal run fell from about 18 hours to 41 seconds

Nvidia attributes the Samsung result, roughly 1,600x, to three things together: AI-predicted material properties, a coarser grid and GPU acceleration. It is one case, not a general speedup for chip simulation.

§ 05Secure agents

Hyundai Motor Group is exploring Nvidia’s NemoClaw blueprints and the OpenShell runtime, a sandbox with policy controls for what an agent can touch. AIM Intelligence, a Korean AI security company, is connecting its Starfort platform to OpenShell to add detection of malicious instructions and data leakage. Our earlier look at OpenShell is on the Nvidia OpenShell reference architecture page.

§ 06What was not announced

No new GPU order, dollar commitment or delivery date came out of the event. Reuters reported that Korea’s deputy science minister expects no disruption to contracted Nvidia GPU deliveries despite the company’s current issues.

The Huang investigation was visible at the edges. Madison Huang, Jensen Huang’s daughter and an Nvidia executive, had planned to visit Rebellions and hold a session with Kakao Mobility; Rebellions said those events were cancelled due to “unavoidable internal circumstances at Nvidia.” The board’s investigation is covered in our Nvidia board investigation post.

§ 07What we are watching

  • Rebellions R200 milestones before the 2028 deployment date.
  • Other Korean NPU makers joining NVLink Fusion, which the ministry says it will support.
  • A GPU number. Any new order or delivery figure from the ministry or Nvidia.

§ 08Sources

Frequently asked5 questions

Q1What is NVLink Fusion?

Nvidia’s way of letting other companies’ processors join its rack-scale systems and connect to its GPUs over NVLink.

Q2Which Korean models got Dynamo recipes?

A.X K2 from SK Telecom, K-EXAONE 2.0 from LG AI Research, Solar Open 2 from Upstage and Motif-3 from Motif Technologies.

Q3What was Samsung's 1,600x result?

A chip thermal simulation that took about 18 hours on a 32-core CPU ran in 41 seconds with AI-predicted properties, a coarser grid and GPUs. It is one case.

Q4Did Jensen Huang attend?

The release carries his quote. His daughter Madison Huang cancelled planned visits to Rebellions and Kakao Mobility.

Q5Is this tied to the Huang investigation?

No. The announcements are commercial. The investigation only affected the visit schedule, per Rebellions and Reuters.

Published 09 November 2026 All Choosing a platform →