TSMC 3nm Process Node Specifications

When NVIDIA announced that the RTX Spark would be built on a TSMC 3nm process, it was more than a spec-sheet bullet point. It was a signal. The chip that powers the next generation of Windows AI PCs is being manufactured on the same node that produces Apple's iPhone processors and NVIDIA's most advanced data-center GPUs.

But what exactly is "3nm"? Why are there multiple versions (N3E, N3P, N3X)? And why does a single wafer cost as much as a mid-range car? Here is the fact-checked breakdown of the process node behind the AI boom.

What is a Process Node? (A 60-Second Explainer)

A process node refers to the manufacturing technology used to build a silicon chip. The "3nm" (nanometer) label historically referred to the size of specific features on the transistor, but in modern marketing it is more of a generational name than a literal measurement.

What actually matters is what a new node delivers: more transistors in the same space, switching faster, while using less power. TSMC's 3nm family achieves this through FinFET transistorsi and EUV lithographyi.

The N3 Family: Not All 3nm is Created Equal

TSMC did not release a single "3nm" process. It released a family of variants, each tuned for different priorities. This is crucial for understanding why the RTX Spark uses one version while Apple's iPhone uses another.

N3B: The Baseline

The original 3nm process, which entered volume production in late 2022. It delivered the full density gains of 3nm but had a relatively muted performance uplift and was expensive to manufacture. It was used briefly by Apple for the A17 Pro before being superseded.

N3E: The Workhorse

This is the version most customers use. N3E is a "relaxed" version of N3B that removes some EUV layers and eliminates EUV double-patterning, which reduces manufacturing complexity and improves yield. Compared to the previous 5nm (N5) node, it delivers ~20% higher speed at the same power, or ~30% lower power at the same speed, with a ~1.6× increase in logic density.

N3P: The Refinement

N3P is an optical shrink of N3E. It keeps the same design rules, which means chip designers can move from N3E to N3P without a major redesign. The gains are more modest but meaningful: ~5% higher performance at the same leakage, or 5-10% lower power at the same frequency, plus a ~4% density improvement for mixed logic and SRAM designs. This is the node used by NVIDIA's Blackwell Ultra GB300 and the upcoming Vera Rubin AI platform.

N3X: The Speed Demon

N3X is designed for maximum clock speed, trading off some density and power efficiency. It targets high-performance CPUs and HPC workloads that prioritize raw frequency above all else.

The Cost of 3nm: Why It's Not for Everyone

Manufacturing at 3nm is extraordinarily expensive. As of 2026, a single 300mm wafer at TSMC's 3nm node costs approximately $20,000, up from around $18,500 at 5nm. A full mask set (the templates used to etch the chip design) costs roughly $15 million, compared to about $6.5 million at 5nm.

Who Uses TSMC 3nm?

The list of 3nm customers is essentially a who's-who of the semiconductor industry. Apple was the first, using N3B for the A17 Pro and subsequently N3E for the M3 family. NVIDIA has become the largest customer, reserving massive capacity for its AI accelerators. AMD, Broadcom, Qualcomm, and MediaTek all compete for remaining capacity.

NVIDIA's demand is so high that CEO Jensen Huang personally asked TSMC to increase 3nm production by 50%, expanding capacity from roughly 100,000 wafers per month to 160,000. As of 2026, TSMC's 3nm capacity is effectively sold out.

Why the RTX Spark Uses 3nm (and Why It Matters)

The RTX Spark is a System-on-a-Chip (SoC) that combines a 20-core Grace CPU and a Blackwell RTX GPU onto a single piece of silicon. Building both components on the same advanced node is what enables the chip's defining feature: unified memory up to 128GB.

The 3nm process allows TSMC to pack approximately 70 billion transistors into the RTX Spark die. Those transistors are what make the NVLink-C2C interconnect (600 GB/s) and the NPU (50 TOPS) possible without blowing past the chip's 45-80W power budget.

Without 3nm, the RTX Spark would either be larger, hotter, or slower. The node is not a marketing detail — it is the physical foundation that makes the product possible.

The Bottom Line

TSMC's 3nm process is the manufacturing backbone of the current AI generation. It is expensive, capacity-constrained, and technically complex, with multiple variants tuned for different priorities. The RTX Spark uses it because the chip's combination of CPU, GPU, and massive unified memory requires the density and efficiency that only 3nm can provide.

As the industry moves toward 2nm (N2) in 2027-2028, 3nm will become the "mature" advanced node — still capable, but no longer cutting-edge. For now, it is the node that powers the most important chips in the world.

Frequently Asked Questions

Is 3nm actually 3 nanometers?

No. The "3nm" label is a generational marketing term. The actual physical dimensions of features on the chip are larger. What matters is the performance, power, and density improvements the node delivers compared to the previous generation.

What is the difference between N3E and N3P?

N3E is the mainstream 3nm process, optimized for cost and yield. N3P is a refinement of N3E that offers roughly 5% more performance or 5-10% lower power, plus a small density gain. N3P is used in NVIDIA's Blackwell Ultra and Rubin AI chips.

Why is 3nm so expensive?

The equipment required for EUV lithography is extremely costly, the mask sets are more complex, and yields are lower than at mature nodes. A single 3nm wafer costs around $20,000, and a mask set costs roughly $15 million.

Will the RTX Spark be upgraded to 2nm?

NVIDIA has not announced a 2nm version of the RTX Spark. The company's next major AI platforms (Vera Rubin) are expected to use 3nm variants (N3P) before eventually moving to 2nm. A 2nm RTX Spark successor is likely years away.

Sources & Fact-Check

This article was drafted with AI assistance and reviewed by a human editor. All specifications, pricing, and performance figures were cross-referenced against the following primary sources:

• TSMC — Advanced Technology Overview (N3, N3E, N3P, N3X)
• Silicon Analysts — How Much Does a TSMC 3nm Chip Cost to Make? (2026 Guide)
• TweakTown — NVIDIA's AI Chip Demand Has TSMC Boosting 3nm Production by 50%
• Wccftech — NVIDIA RTX Spark Took Dimensity 9400's Prime Core (TSMC 3nm)
• Baidu Baike — N3P Process (TSMC 3nm Generation 3)
• Baidu Baike — TSMC N3 Process Family