skhynix
作者页面描述
8月21日
- [HY-Knowledge EP.3] Physical AI: The Next Revolution After Generative AI | Professor Cho Kyu-jinHY-Knowledge, an original series by SK hynix, explores the latest technologies shaping the AI era and the role of memory in making them possible. In the third episode, Professor Cho Kyu-jin of Seoul National University explores the world of Physical
8月20日
- SK hynix’s technology roadmap for co-packaged optics features in ‘Nature Electronics,’ as AI competition shifts from chips to systems
- SK hynix’s technology roadmap for co-packaged optics features in ‘Nature Electronics,’ as AI competition shifts from chips to systems
- SK hynix’s technology roadmap for co-packaged optics features in ‘Nature Electronics,’ as AI competition shifts from chips to systems▲ Conceptual illustration of an optics-centric architecture in which a photonic interposer directly connects compute resources in the XPU pool with memory resources in the memory pool through optical links
- SK hynix’s technology roadmap for co-packaged optics features in ‘Nature Electronics,’ as AI competition shifts from chips to systems▲ CPO integrates optical engines ever closer to the processor. As the distance traveled by electrical signals is minimized, both bandwidth and energy efficiency improve.
- SK hynix’s technology roadmap for co-packaged optics features in ‘Nature Electronics,’ as AI competition shifts from chips to systems▲ Compute throughput has typically tripled every two years, while interconnect bandwidth has advanced only about 1.4-fold, creating a “bandwidth wall.”
- SK hynix’s Technology Roadmap for Co-Packaged Optics Features in “Nature Electronics”
8月19日
- SK hynix’s technology roadmap for co-packaged optics features in ‘Nature Electronics,’ as AI competition shifts from chips to systems▪ SK hynix has collaborated with leading global researchers to publish a roadmap for co-packaged optics (CPO), a key technology for next-generation AI infrastructure, in the prestigious scientific journal “Nature Electronics.” ▪ Extending beyond HBM innovation, the paper presents a
- SK hynix Accelerates 40 Trillion won Share Repurchase and Cancellation Program, Pursues Shareholder Return Expansion to ‘Over 50% of FCF’▪ Board approves resolution on August 19 to repurchase and fully cancel 40 trillion won of treasury shares ▪ Decision reflects the view that intrinsic value—driven by business competitiveness and cash generation capability—is underrepresented in current share price ▪ Largest
8月18日
8月17日
- [AI Ecosystem] The paradigm shift in AI computingAs AI workloads evolve toward inference and agentic AI, the criteria for system performance are also changing. Computing power alone is no longer enough. Where data is stored, how quickly it moves, and how efficiently it is processed now have
8月14日
8月13日
- [Analyst Interview | Ryu Hyung-keun, Daishin Securities] Exploring SK hynix’s Next Opportunity Amid the Structural Growth of AI MemorySK hynix reaffirmed its leadership in AI memory by reporting record quarterly revenue and operating profit in the second quarter, while surpassing KRW 100 trillion in cumulative first-half revenue for the first time in its history. Amid these strong results,
8月10日
- [AI Infrastructure Insight] What is changing inside AI data centers?
- [AI Infrastructure Insight] What is changing inside AI data centers?
- [AI Infrastructure Insight] What is changing inside AI data centers?
- [AI Infrastructure Insight] What is changing inside AI data centers?AI is no longer defined by a single model or chip. For AI to operate effectively in real-world services and industrial applications, it takes faster compute, greater memory bandwidth, higher-performance networking, more efficient storage, and stable power and cooling working
8月7日
- The Next-Generation Memory Architecture in the AI Era? SK hynix Charts the Direction at ‘FMS 2026’
- SK hynix Invests 54 Trillion Won in Yongin Y2 and Cheongju M17
- SK hynix Invests 54 Trillion Won in Yongin Y2 and Cheongju M17 to Secure Mid-to-Long-Term Production Base for AI Memory DemandSK hynix Mid-to-Long-Term Investment Phased Execution
- SK hynix Invests 54 Trillion Won in Yongin Y2 and Cheongju M17 to Secure Mid-to-Long-Term Production Base for AI Memory DemandRendering of the M17 fab that SK hynix plans to build in Cheongju
- SK hynix Invests 54 Trillion Won in Yongin Y2 and Cheongju M17 to Secure Mid-to-Long-Term Production Base for AI Memory Demand▪ The company to invest 35.2 trillion won in Yongin “Y2” fab and 19.1 trillion won in the Cheongju “M17” fab ▪ To execute mid-to-long-term investment strategy… Y2 to open cleanroom in June 2029 and M17 in December 2028 ▪
- The Next-Generation Memory Architecture in the AI Era? SK hynix Charts the Direction at ‘FMS 2026’▲ SK hynix’s ‘375-layer 4D NAND Wafer’, ‘375-layer 1Tb TLC 154B 32DP’ and ‘375-layer 1Tb TLC 334B QDP’
- The Next-Generation Memory Architecture in the AI Era? SK hynix Charts the Direction at ‘FMS 2026’▲ Dell’s ‘R7625’ server system and SK hynix’s ‘64GB DDR5 RDIMM’ server DRAM
- The Next-Generation Memory Architecture in the AI Era? SK hynix Charts the Direction at ‘FMS 2026’
- The Next-Generation Memory Architecture in the AI Era? SK hynix Charts the Direction at ‘FMS 2026’
- The Next-Generation Memory Architecture in the AI Era? SK hynix Charts the Direction at ‘FMS 2026’