Nvidia CEO Jensen Huang has teased that the company is planning a surprise for its customers. In an interview with the Korean Economic Daily, he said that the US-based chip giant has and is planning to unveil at Nvidia’s GTC event in San Jose, California, which is set to be held next month.
The conversation took place after what Huang described as a
following a dinner at a Korean fried chicken restaurant in California attended by engineers from SK Hynix and Nvidia. He also acknowledged that in the current environment but added that
How SK Hynix is helping Nvidia with its next chip
Hunag noted that Nvidia and SK Hynix were
and operating as adding that both sides had worked
SK Hynix remains Nvidia’s primary supplier of high-bandwidth memory (HBM) chips, with HBM4 expected to be integrated into Nvidia’s Rubin architecture, which is scheduled to debut in the latter half of 2026.
In September 2025, SK Hynix said its sixth-generation high-bandwidth memory chips will deliver
At that time, SK Hynix also stated that
Earlier this year, SK Hynix warned that memory chip shortages were likely to continue into 2027, noting that consumer electronics could be more affected as manufacturing capacity is increasingly directed toward AI infrastructure projects.
The company has also announced plans to expand infrastructure investment to more than four times the level previously disclosed, with its M15X facility in South Korea expected to begin operations by mid-2027.
Last week, Nvidia made OpenAI’s agentic coding tool Codex available to all 30,000 of its engineers, months after Huang told employees he wanted
The company-wide deployment announced by OpenAI was one of the largest enterprise rollouts of an AI coding assistant ever recorded. The ChatGPT maker said that it worked closely with Nvidia to deliver cloud-managed admin controls and US-only processing with fail-safes.
The latest version of Codex ran on the GPT-5.3-codex model. Dennis Hannusch, an engineer at Nvidia, said he started using the new model and called it
Hannusch wrote on X.
Another Nvidia engineer, Benjamin Klieger, said he was particularly impressed with the tool’s context management and token efficiency, describing them as
