How NVIDIA NVLink Fusion Is Pulling Korean AI Chips Into Its Orbit
As seen on the 24/7 Wall St. homepage on November 9, 2026.
NVIDIA, Rebellions and SK Telecom Announce Collaboration to Advance Sovereign AI Infrastructure With NVIDIA NVLink Fusion
NVLink Fusion is now the hook that pulls rival silicon into Nvidia's rack: Rebellions' R200 NPUs will handle decode while Nvidia GPUs do prefill inside SK Telecom's data centers, with Korea's science ministry backing the effort. Deployment is slated for 2028, so the near-term value is ecosystem lock-in rather than revenue.
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NVLink Fusion is NVIDIA's technology for connecting third-party chips directly into its own GPU infrastructure, and this deal is one of the first public demonstrations of how that works in practice. Inside SK Telecom's Korean data centers, Rebellions' R200 neural processing units will handle the decode phase of AI inference while NVIDIA GPUs take on the compute-heavier prefill phase, with the two chip families communicating over the NVLink Fusion interconnect.
The arrangement is strategically significant because it gives rival silicon a home inside an NVIDIA-designed rack without displacing NVIDIA's own GPUs. Rather than competing head-on, Rebellions' processors slot into a division-of-labor model where NVIDIA still controls the most valuable part of the workload and, critically, the interconnect that ties the system together.
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Korea's science ministry is backing the effort, which frames this as a sovereign AI initiative rather than a purely commercial one. Governments across Asia have been pushing to build domestic AI capacity using locally designed chips, and this structure lets South Korea claim a Korean processor at the heart of its infrastructure while still leaning on NVIDIA's platform.
Investors should note that the deployment timeline runs to 2028, meaning there is no near-term revenue event attached to this announcement. The more immediate value for NVIDIA is ecosystem lock-in: the more data centers that are designed around NVLink Fusion as an open interconnect standard, the harder those customers are to displace even if a competing GPU architecture emerges down the road.
Mentioned: NVDA