Global AI computing and semiconductor leader
NVIDIA is the world's leading designer of GPUs and AI computing platforms, with significant APAC data center investments.
$5B multi-year APAC data center infrastructure investment.
NVIDIA Reports Record Q4 FY2026 Revenue of $68.1B, Data Center Revenue Up 75% YoY
NVIDIA reported record quarterly revenue of $68.1 billion for Q4 FY2026, up 20% from Q3 and 73% from a year ago. Data Center revenue reached a record $62.3 billion, up 22% from Q3 and 75% from a year ago. Full-year revenue hit $215.9 billion, up 65% year-over-year. The results were driven by surging demand for AI computing infrastructure, with NVIDIA's GPU and networking products powering the buildout of AI data centers worldwide. CEO Jensen Huang noted that the age of AI is in full steam, with demand surging worldwide across every industry and nation. The company also announced GTC 2026, its premier AI conference, will take place March 16-21 in San Jose, California.
NVIDIA CEO Jensen Huang and Global Technology Leaders to Showcase Age of AI at GTC 2026
NVIDIA announced that GTC, the world's premier conference on AI and accelerated computing, will take place March 16-21, 2026 in San Jose, California. CEO Jensen Huang will deliver a keynote address alongside global technology leaders to showcase the latest advances in AI. The conference is expected to attract tens of thousands of developers, researchers, and enterprise leaders, featuring hundreds of sessions on topics ranging from generative AI and robotics to healthcare and autonomous vehicles.
NVIDIA and Coherent Announce Strategic Partnership for Next-Gen Data Center Optics
NVIDIA and Coherent Corp. (NYSE: COHR) announced a multiyear strategic agreement to advance the frontier of advanced optics technologies, including manufacturing capacity and research and development, to enable next-generation AI infrastructure and systems. The partnership will focus on developing optical interconnect technologies critical for scaling data center networks to meet the growing demands of AI workloads.