The Pulse
SK hynix Launches Ventures Arm for AI Infrastructure
SK hynix has launched SK hynix Ventures, expanding its corporate venture capital focus from semiconductor startups to technologies across the AI ecosystem.
AI.info Team ·
SK hynix says its corporate venture investments have generated returns exceeding twice the company’s cumulative investment since 2015. The memory-chip maker is now putting that investment program under a new name, SK hynix Ventures, and widening its focus from semiconductor startups to technologies that support the full AI infrastructure stack.
The company announced the launch on September 18, 2026, after holding its inaugural SK hynix Ventures Day in Silicon Valley. Chief Executive Kwak Noh-Jung and other executives met with global venture capital firms and startup leaders at the event, which took place locally on September 17.
SK hynix describes the new brand as a corporate venture capital platform for strategic partnerships and future technology discovery. The company’s announcement is available in its official newsroom release.
From semiconductor scouting to AI ecosystem investment
SK hynix has operated a corporate venture capital organization since 2015, making direct investments and committing capital to funds that back early-stage companies in semiconductors and emerging technology. Its investments have covered companies in the United States, China, Israel and Japan.
The company says those investments have produced more than financial returns. SK hynix has used portfolio relationships to identify new supply-chain opportunities and customers, including through joint equipment development and proof-of-concept projects.
Under SK hynix Ventures, the company says its CVC operation will move beyond what it calls “Tech Sensing” and “Path Finding.” Those earlier activities focused on tracking technology trends and identifying possible new businesses. The new program is intended to support collaborative development across a wider AI ecosystem.
Four targets for SK hynix Ventures
SK hynix identifies four main areas for the expanded investment program: AI computing, data centers, system software and optical interconnect. The company did not disclose a fund size, individual investment targets or a list of startups involved in the launch.
The choice of sectors reflects the company’s view that AI performance depends on more than processors. SK hynix says participants at Ventures Day discussed the growing importance of computing, memory and system software as AI models become more advanced, along with the performance and power-efficiency requirements of optical systems in AI data centers.
Optical interconnect technology is designed to move data between computing components and systems using light rather than relying only on electrical connections. SK hynix’s announcement does not identify specific optical technologies or investment candidates, but it places those systems alongside data-center infrastructure and software as areas for future engagement.
Kwak Noh-Jung’s case for strategic investment
“Competitiveness in the AI era stems not just from rapidly securing innovative technologies, but from ecosystem capabilities where customers, partners, and startups create new value together,” said Kwak Noh-Jung, CEO of SK hynix.
He said SK hynix Ventures would support promising companies and seek to become a global partner in designing AI infrastructure through investment and technology cooperation. The company frames the effort as a shift from finding technologies that may matter later to working with customers, partners and startups on products and systems that can be developed together.
That approach gives SK hynix a way to look beyond its existing semiconductor operations without abandoning them. The company says its new venture platform will continue to pursue investments while building technical relationships with portfolio companies, including possible equipment development and proof-of-concept work.
A broader role for a memory supplier
SK hynix is best known for DRAM and NAND flash memory, but its announcement presents AI infrastructure as a connected set of computing, memory, networking and software requirements. The Ventures Day discussions placed the company in contact with startups working across that wider set of technologies.
No specific transactions were announced alongside the new brand, leaving the size, pace and commercial priorities of the investment program as the next concrete measures of its ambitions.