NVIDIA's next-gen Rubin architecture is expected to come under "trial production" by H2 2025, as SK hynix is now focused on supplying HBM4 earlier than scheduled.
NVIDIA's Rubin Architecture To Now Debut Six Months Earlier Than Schedule, Credits To SK Hynix's "Speedy" HBM4 Development
Well, it seems like Team Green isn't happy with the "one-year" cadence of its AI roadmap, as the firm is now determined to release the Rubin architecture almost six months ahead of schedule. According to ZDNet Korea, NVIDIA's key partner, SK hynix is now set to ship out HBM4 samples by June at the earliest, with mass production expected to commence by Q3 2025, marking almost a difference of a quarter to what SK hynix had initially planned. This is in light of outpacing market competition and NVIDIA's specific request to the South Korean giant.
The report claims that HBM4 tape out to NVIDIA had already been done in Q4 2024, meaning that SK hynix had already completed verification stages with mainstream partners. Along with this, it is said that NVIDIA will be SK Hynix's "exclusive" HBM4 customer, which means that Team Green will get access to the cutting-edge HBM far earlier than the markets, and this could effectively mean that the HBM4-focused Rubin AI lineup will be released ahead of timeline, likely in the second half of this year.
Diving into why HBM4 is crucial and probably a massive catalyst in the growth of AI markets, the standard will integrate memory and logic semiconductors into a single package. This means there won't be a need for packaging technology, and, given that individual dies would be much closer with this implementation, it would prove to be much more performance efficient. Coming in with 24 Gb and 32 Gb layers, HBM4 is said to feature up to 6.4 Gbps speeds, making it much superior to its previous-gen counterparts.
NVIDIA's Rubin architecture will feature TSMC's 3nm process and CoWoS-L packaging. In terms of performance, the key focus this time will be on exceptional perf/W figures, given that the growing demands of AI computation has brought a massive rise to power consumption figures, which is unsustainable in the longer run. Given that we see the debut of Rubin by Q4 2024, it won't be wrong to say that Team Green will wipe out the competition in this segment entirely, given that equivalent solutions by competitors are expected to launch several quarters ahead of Rubin.
About the author: Muhammad Zuhair is a hardware and technology reporter for Wccftech, specializing in the semiconductor industry and the complex interplay between technology, manufacturing, and geopolitics. His coverage focuses on the corporate strategies and technological roadmaps of industry giants like TSMC, NVIDIA, Samsung, and Intel. Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes (e.g., 2nm process), the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel.
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