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Wafer prober · live grid placement · exact die count

Die Per Wafer Console

A live instrument for the first number in every chip cost model. Drag the die size or wafer and the map re-plots instantly — counting only dies that fully fit inside the usable area after edge exclusion and kerf, with placement optimized across four offsets. Gross dies, yield, utilization and cost-per-die update in real time.

01 · Quick estimate

Drop in a die and wafer — get the count instantly.

Dies per wafer
760
91% utilization · 81 mm²
91%UTIL
Full analysis console ↓
02 · Deep analysis

Wafer-prober console

300mm · 9×9mm
890 plotted
A wafer with the die grid; full dies glow cyan, edge dies are dimmed, with a sweeping scan line.
760 full dies130 edge (wasted)usable area
Gross dies per wafer
760
on 300mm · 9×9mm · 3mm edge · 0.1mm kerf
91%UTILIZATION
80%YIELD
Net good dies
608
@ 80% yield
Formula cross-check
748
De Vries estimate
Control deck
Wafer
Common dies
▸ READOUTExcellent silicon utilization — 760 dies fit, 130 edge dies wasted.|Grid beats the textbook formula by +12.|Next: feed gross × yield into cost — Wafer Cost.
Comparator

Same die across wafer sizes

A 9×9mm die (81 mm²) — the economy of scale of bigger wafers.

150mm
177
200mm
317
300mm
760
450mm
1,780
Why it matters

What die count drives

A 300mm wafer is ~70,686 mm² of silicon

but you never get it all — edge exclusion and saw kerf shrink the usable area, which is why an exact grid count beats a back-of-envelope area divide.

Die size is the single biggest cost lever

cost-per-die ≈ wafer cost ÷ (dies × yield), and both terms worsen as dies grow. Shaving 10% off die area can cut cost-per-die by far more than 10%.

200mm → 300mm gave ~2.25× the area

for well under 2.25× the cost — the economy of scale that drove the whole industry to 300mm and kept 450mm endlessly debated.

Edge dies are pure waste

every die the grid places partly off the usable circle is silicon you paid to process and threw away. Bigger wafers shrink the edge-to-area ratio.

The math

How the count is computed

usable R = Ø/2 − edge ; footprint = (w+kerf)(h+kerf)

A die counts only if all four corners lie within R. The grid is tried in four half-shift placements; the best is reported.

  • ≥88%Excellent utilization
  • ≥80%Good utilization
  • ≥65%Moderate utilization
  • <65%Low utilization
DPW ≈ π·(d/2)²/S − π·d/√(2·S)

The De Vries approximation: area divide minus an edge-loss term. Good for a sanity check; the grid count is the real answer.

Cost follows directly: cost/good die = wafer cost ÷ (dies × yield). Both fall as die area grows, so cost rises faster than area — the case for small dies and chiplets.

Field notes

Why dies-per-wafer is the first number in every chip business case

Before a chip has a price, it has a die-per-wafer count. Everything downstream — gross margin, break-even volume, whether a product is even viable — starts from one geometric fact: how many copies of this design fit on one wafer. A foundry sells wafers, not chips, so the number of dies you harvest, times the fraction that work, is the bridge between what you pay and what you can sell.

The naive answer is wrong. Dividing a 300mm wafer's ~70,686 mm² by a die's area suggests more chips than you can ever get, because square dies can't tile a circle. Around the curved rim every die that pokes past the edge is discarded, and a ring is excluded outright because the process is unreliable there. The honest count comes from placing dies on a grid and counting only those that fully fit — exactly what this console does, optimizing placement the way a layout team would.

Two parameters move the number more than people expect. Edge exclusion removes dies precisely where the wafer is widest and holds the most positions. The kerf adds to every die's footprint — negligible for a large CPU die, a real tax on a tiny sensor die. Both make the count smaller than the textbook formula suggests, which is why the formula and the exact grid count sit side by side here.

The reason any of this matters is cost. Cost-per-good-die is wafer cost divided by dies-per-wafer times yield, and die area attacks both terms at once: a bigger die means fewer dies AND a higher chance each holds a killer defect. That double penalty is why a 20% area increase can raise cost-per-die by far more than 20%, and why chiplets can win on cost even after paying for advanced packaging. Use this console as step one, then layer on yield and cost with the Yield and Wafer Cost instruments.

Die Per Wafer FAQs

Have more questions? Contact us

Trusted by Fab, Fabless & ASIC Teams

4.8
Based on 4,310 reviews

The live wafer map matches our internal DPW tool to within a die or two, and watching it redraw as I drag the die size is exactly the instrument I wanted. The placement optimization caught extra dies our first pass missed.

D
Dr. Wei-Chen Lin
Yield enhancement engineer, foundry
April 29, 2026

Watching dies-per-wafer collapse live as die size grows made the chiplet argument to my execs in seconds. This finally looks like the engineering instrument it should be, not a web form.

A
Anika Patel
Fabless product manager
March 15, 2026

Clients ask 'how many chips per wafer?' and I have the answer with a picture in ten seconds, across 200/300/450mm. The formula cross-check next to the exact count is the credibility touch.

T
Tomáš Novák
ASIC consultant
January 22, 2026

Taught me more about chip economics than any article — the live utilization gauge and the reality anchors connect die size to real money. Beautiful, fast, and genuinely useful.

S
Sarah Okafor
Hardware startup founder
December 8, 2025

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Grid-placement method · De Vries formula cross-check · Last reviewed: 2026-06