US EditionNvidia Tipped to Be TSMC's First 16A Customer, Ahead of Apple — Feynman GPUs Could Make Full Use of GAA Transistors and Backside Power
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Tom's HardwareNvidia tipped to be TSMC's first 16A customer, ahead of Apple — Feynman GPUs could make full use of GAA transistors and backside power
Nvidia will be the first customer to use TSMC's A16, a 1.6nm-class process that marries gate-all-around (GAA) transistors with backside power delivery.
For years, Apple was the first to inaugurate the new etching nodes of the TSMC founder, taking advantage of its purchasing power and the profitability of the iPhone. But the deal changes: it will not be a smartphone that will open the way to the A16 node (1.6 nm with back power BSDPN), scheduled for 2026, [...] The NVIDIA article ahead of Apple on the future TSMC A16 node for its d的IA GPU has appeared first on HardwareCooking.
NVIDIA is apparently about to adopt a new manufacturing process from TSMC as a launch customer for the first time in over two decades – specifically, the A16 node, which is being marketed as "1.6nm" technology. If this turns out to be true, it would be a remarkable shift in direction: NVIDIA has traditionally let others take the lead when it comes to the Taiwanese contract manufacturer's cutting-edge process nodes. [...] Source
The immediate future of mass chip manufacturing has a name and surname: TSMC A16, the 1.6 nanometer node with BSDPN that will debut, to everyone’s surprise, in 2026. And it’s that everything turns and points out that the first big company to premiere it will not be Apple, as it has happened in almost every technological leap, but NVIDIA. Jensen Huang’s company would be willing to pay more than $30,000 per wafer in order to place its AI GPUs at t…
NVIDIA to Tap TSMC's A16 Node for "Feynman" GPUs
NVIDIA is preparing a significant change in its chip strategy for its next-generation GPU design, codenamed "Feynman", as the first customer of TSMC's A16 process. This choice breaks NVIDIA's long-running pattern of adopting slightly older nodes to extract greater efficiency and performance gains for its datacenter accelerators. NVIDIA's biggest AI dies are enormous, at 104 billion transistors currently per each "Blackwell Ultra" die and occupyi…
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