If you read about chips for long enough, you hit a wall of numbers: 7, 5, 4, 3 nanometers and smaller. It is natural to read these as the size of something physical on the chip. For modern processes, that reading is wrong, and acting on it leads to bad comparisons.

How the Numbers Started

In earlier decades, the node name tracked a real dimension, such as the length of a transistor’s gate or half the distance between repeated features. Smaller meant denser and usually faster and more efficient, so the number was a fair shorthand.

Over time, transistors changed shape and manufacturing methods evolved. The physical dimensions stopped shrinking in step with the labels. Today, the node name is effectively a generation label chosen by each manufacturer. It signals “the next, improved process” more than it reports a specific length you could measure with a ruler.

Why You Cannot Compare Names Across Companies

Two manufacturers can give similar names to processes that differ noticeably in density, performance and power. A label from one company does not map cleanly onto a label from another. Even within a single company, a name may cover several variants tuned for different goals, such as higher performance, lower power or lower cost.

So a statement like “this chip is on a smaller node, therefore it is better” is not reliable. It is better to ask what the process actually delivers.

What Actually Changes Between Generations

Real differences between processes show up in a few measurable ways.

Transistor density. How many transistors fit in a given area. This is the closest thing to what the old shrink meant, and it is more informative than the name, though it varies by the kind of circuit. Logic, memory and analog structures scale differently.

Transistor structure. Over the years, the transistor’s shape has changed to keep control over current as sizes shrank. Newer structures wrap the conducting channel more completely with the controlling gate, which improves behaviour at small scale. Check a manufacturer’s current documentation for the specifics of their process.

Performance and power. At a given power budget, how fast circuits can switch, or at a given speed, how much power they use. Improvements here are often modest and depend on the design.

Cost and complexity. More advanced processes generally need more patterning steps and more sophisticated equipment, which increases cost per wafer and can affect yield.

Memory and analog scaling. SRAM and analog circuits tend to shrink less than logic. For AI chips, which use a lot of on-chip memory, this limits how much a new node helps.

Why It Matters for AI Hardware

Newer processes can help AI chips by fitting more compute into the same area or reducing energy per operation. But the benefit is not automatic or uniform.

• A chip’s design quality, memory system and software often matter more than the node.
• Memory bandwidth, which usually lives off the compute die, is not governed by the logic node at all.
• A mature, cheaper node can be the sensible choice for parts that do not need peak density, such as I/O or some chiplets in a multi-die package.

This last point connects to a trend in advanced packaging: using a leading-edge process only for the dies that benefit, and a less expensive process for the rest.

Reading a Node Claim Critically

Claim you see	Better question to ask
“Built on a smaller node”	What is the measured density and power at a comparable design?
“X nm process”	Which variant of that process, and is the label comparable to the other company’s?
“New node improves efficiency”	Efficiency of which circuits, at what speed or power target?
“Leading-edge chip”	Which dies in the package use the leading edge, and which do not?
“Shrink saves cost”	Does cost per transistor still fall at this node, or just density?

A Hypothetical Comparison

Suppose two fictional accelerators are announced. Accelerator A is on a process with a smaller label; accelerator B is on a process with a larger label from a different manufacturer. A headline-only reading says A must be more efficient.

A more careful reading looks at whether the vendors publish density for their respective processes, how large each die is, how much of each chip is memory and interconnect versus logic, and how each performs on a workload like yours. It may turn out that B’s design makes better use of its memory system, and that on your workload B delivers more per watt. The node label would have predicted the wrong winner.

That does not mean nodes are irrelevant. It means they are one input among several, and a coarse one.

Practical Habits

• Treat node names as generation labels, not measurements.
• Look for density, performance and power data on a specific design, ideally from independent measurement.
• Ask which parts of a multi-die product use which process.
• Remember that system performance depends on memory, packaging and software as much as on logic.
• Avoid repeating claims about specific nodes without checking current sources, as manufacturer roadmaps change.

Frequently Asked Questions

Is the nanometer number completely meaningless? It is not a direct physical measurement of modern transistors. It still loosely orders a manufacturer’s own generations, but it should not be used to compare across companies.

Does a smaller node always mean lower power? Not always. Improvements depend on the design, the process variant and the operating point. Some gains are small, and some designs are limited by memory or interconnect power.

Why do manufacturers keep using these names? The naming convention is deeply established in the industry and in marketing. It conveys generational progress even though the underlying meaning has drifted.

What metric should I use instead? Transistor density, where published, and measured performance per watt on your own workload. Both are more informative than the label.

Will nodes keep shrinking forever? Progress continues through new transistor structures, materials and packaging, but physical and economic constraints are real. Look at current industry sources for the state of the roadmap.

Next Step

Take two chips you are comparing and write down, for each, the node label, the manufacturer, whether density is published, and how the chip performed on a workload like yours. If you can only fill in the first two, you do not yet have a basis to prefer either.