
NVIDIA Plans New Investments in Korean AI Startups
At a Seoul forum, NVIDIA announced an investment in Point2 and planned investments in Motif Technologies, RLWRLD and Upstage, spanning AI infrastructure, models and robotics.
NVIDIA announced new planned investments in Korean startups during the MSIT-NVIDIA AI Startup Partnership Forum, hosted by Korea's Ministry of Science and ICT and NVIDIA at COEX. Ryu Je-myung, vice minister of science and ICT, joined NVIDIA leaders to meet with more than 20 Korean startups working across foundation models, physical AI, AI infrastructure and AI semiconductors. NVIDIA said it invested in Point2 and plans additional investments in Motif Technologies, RLWRLD and Upstage.
Forum and startup lineup
The companies represent work across the full AI stack, from infrastructure to models to robotics applications. NVIDIA's planned investments build on its work with Korea's startup and venture community, including more than 1,000 Korea-based members of NVIDIA Inception, a program that helps startups grow with access to preferred pricing, technical expertise and opportunities for investor introductions.
Point2 and Motif Technologies
Point2 Technology builds scalable radio frequency-based interconnects that move data between chips and racks in AI factories, offering an alternative to conventional copper and optical interconnects for AI cluster scale-up. Motif Technologies, a Seoul-based AI lab, develops foundation models for AI agents that carry out complex tasks, including Motif-3, a large language model released with open weights.
RLWRLD and Upstage
RLWRLD, a physical AI startup based in San Francisco, Seoul and Tokyo, develops robotics foundation models that enable humanoid and industrial robots to perform complex real-world tasks requiring five-finger dexterity, such as precisely inserting components, threading nuts onto bolts and kitting parts from moving conveyors. Upstage, a Korean enterprise AI company, develops Solar language models and document AI tools that help businesses extract information from complex documents, streamline workflows and build AI applications for everyday operations.
Sources: NVIDIA Blog
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