NVIDIA’s Feynman platform is said to target TSMC A16 and large-scale CPO deployment in 2028
NVIDIA has already moved into development and supply-chain planning for Feynman, the AI accelerator platform expected to follow Rubin, according to a Digitimes report cited by ABMedia. The report says Feynman is set to use TSMC’s upgraded A16 process, pair it with custom HBM, and adopt both SoIC 3D stacking and co-packaged optics, or CPO, at scale, with volume production targeted for the second half of 2028. What makes the platform notable is the simultaneous push across three technical layers: process technology, advanced packaging, and optical interconnect. Supply-chain data cited in the report shows NVLink bandwidth rising from about 130 TB/s in Blackwell NVL72 racks to 260 TB/s in Rubin, 520 TB/s in Rubin Ultra, and more than 1,000 TB/s in Feynman. At that level, copper links are approaching practical limits in distance, power, signal loss, and thermal management, making optical interconnect a more direct fit for large AI clusters. The same report says TSMC is expanding advanced packaging capacity from AP5 and AP6 into AP7 and AP8, while repeatedly lifting SoIC monthly capacity targets from 20,000 wafers by the end of 2026 to 50,000 by the end of 2027. It also places Feynman inside NVIDIA’s wider capital and supply strategy, including more than $40 billion invested across the AI ecosystem since 2026 and a financing platform with Apollo, BlackRock, Blackstone, and Goldman Sachs aimed at mobilizing $500 billion in third-party capital.






