# Nvidia drops quad-die Rubin Ultra for dual-die > Source: > Published: 2026-06-30 12:45:00+00:00 For practitioners: High-end GPU packaging choices change thermal, yield, and system-level design trade-offs that affect data-center deployment and procurement timelines. According to reporting from Tom's Hardware, Nvidia canceled a planned quad-die version of the **Rubin Ultra** AI accelerator and moved to a dual-die design, citing "manufacturing execution concerns" in the Tom's Hardware piece. Wccftech's coverage, which cites Taiwanese industry sources, frames the change as a shift from highly integrated CoWoS-L packaging toward board-level or rack-level assembly, with a 2+2 arrangement of dies across a Kyber blade. Tom's Hardware reports the quad-die Rubin Ultra would have used four compute chiplets and **16 HBM4E** stacks, while Wccftech notes vendors expect board-level assembly to preserve total die count per server blade. The two reports offer differing takes on performance impact: Tom's Hardware suggests the scaled-back package would be roughly half as powerful, while Wccftech reports industry sources expect compute and HBM capacity to remain intact via board-level arrangements.