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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchPossibly—but it is not confirmed. Secondary reporting says NVIDIA may use TSMC’s A16 process for its Feynman generation, while the public materials reviewed from NVIDIA and TSMC do not announce that pairing. Feynman appears on NVIDIA’s future data-center roadmap; TSMC has described A16 and scheduled its volume production, but neither fact by itself confirms which process Feynman will use.
What is confirmed about Feynman and A16?
- Feynman is on NVIDIA’s future data-center roadmap. NVIDIA’s roadmap places it in the 2028 column, but does not identify its manufacturing process or establish a firm retail launch date. NVIDIA’s roadmap material shows the product roadmap; Tom’s Hardware also reported Jensen Huang describing Feynman as the next generation at GTC. That report provides roadmap context, not confirmation of A16.
- TSMC has announced A16 process details and a production schedule. Its 2026 shareholder-meeting business report scheduled volume production for the second half of 2026. That is a foundry schedule, not an announcement about a named NVIDIA product. TSMC’s shareholder reports contain the company’s business report.
- The Feynman–A16 connection is reported, not officially confirmed. TrendForce, citing Commercial Times and other reporting, said NVIDIA may be among the first customers to use A16 for Feynman. TrendForce’s September 15, 2025 report uses conditional language. DIGITIMES later reported supply-chain alignment for Feynman in the second half of 2028, but its accessible coverage does not confirm A16 selection. DIGITIMES’s August 14, 2026 report is subscription-limited.
What is TSMC A16?
A16 is a TSMC manufacturing process that combines nanosheet transistors with a backside power rail, which TSMC calls Super Power Rail (SPR). Moving power delivery to the back of the wafer is intended to address demanding power-distribution and signal-routing needs. TSMC positions A16 for selected high-performance computing designs with complex signal routes and dense power-delivery networks. See TSMC’s A16 technology page and its 2026 shareholder-meeting business report.
What performance claims has TSMC made?
TSMC’s current A16 technology page, accessed in 2026, compares the process with its N2P process on three axes. These are foundry targets, not independent measurements or Feynman GPU specifications.
| TSMC’s stated A16 comparison | Claim relative to N2P | How to read it |
|---|---|---|
| Speed at the same Vdd | 8–10% improvement | TSMC’s process target; it does not predict a Feynman GPU’s frame rate or application performance. |
| Power at the same speed | 15–20% reduction | TSMC’s process target; it is not a measured power saving for a named NVIDIA product. |
| Chip density | Up to 1.10× | TSMC’s stated maximum density comparison, not a direct estimate of Feynman chip size or transistor count. |
All three figures are TSMC’s comparisons with N2P, not a settled A16-versus-N2P choice for Feynman. Even if Feynman uses A16, translating process-level targets into a finished GPU’s performance, power use, or size would require product-specific design and test data that has not been announced.
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Why might A16 suit a future data-center GPU?
TSMC’s stated focus—complex signal routes and dense power delivery—helps explain why A16 could be relevant to a high-performance computing chip. A data-center GPU is a plausible kind of design to consider for such a process, but that technical fit is not evidence that NVIDIA selected it. The actual process decision, product configuration, and resulting performance remain unconfirmed in the public sources cited here.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What would confirm the process choice?
A clear confirmation would need to come from NVIDIA or TSMC identifying Feynman and A16 together, or from specific, attributable product documentation that does so. A foundry schedule, a roadmap entry, or reporting that NVIDIA may use the process is not equivalent to that confirmation.
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