Chiplet Package Estimator
Once you've split a design into chiplets, how much die-to-die bandwidth can the package carry, and how big is it? Estimate D2D bump count and aggregate UCIe bandwidth from bump pitch and shared die edge, compare advanced-silicon vs standard-organic vs glass substrates, and size the package.
Chiplets, die area, bump pitch & rate → aggregate D2D bandwidth.
Finest D2D pitch (advanced UCIe) — highest bandwidth density, highest cost, yield falls with area.
4-chiplet interconnect console
Silicon enables the finest pitch (highest bandwidth); organic and glass use coarser pitch at lower cost.
4 chiplets share 60mm of edge, carrying 30k D2D bumps at 45µm pitch for 59.3 TB/s aggregate (988 GB/s/mm — advanced-UCIe class).
More chiplets add shared edge and bandwidth but also interfaces to route and test; a finer pitch multiplies bandwidth density. Weigh against the yield-and-cost view in Chiplet Economics.
See the disaggregation cost case in the Chiplet Economics console.
Why die-to-die bandwidth defines chiplet design
Universal Chiplet Interconnect Express gave die-to-die links a common interface — like PCIe for chiplets — enabling a mix-and-match ecosystem and the bandwidth densities (over 1 TB/s per mm of die edge) that make disaggregation worthwhile.
Die-to-die bandwidth scales with the bump density and the length of shared die edge (shoreline). Finer bump pitch on an advanced package packs far more links per millimeter — which is the whole reason for a silicon interposer.
Advanced packaging (silicon interposer, ~45µm bumps) reaches ~1 TB/s/mm; standard organic packaging (~110µm bumps) is closer to ~0.1–0.2 TB/s/mm. The substrate choice sets the achievable inter-chiplet bandwidth.
Each adjacency between chiplets is shared edge that can carry D2D links. Splitting into more chiplets adds interconnect surface and total bandwidth — but also more interfaces to route, power and test.
The bandwidth lives at the seams
Disaggregating a chip into chiplets solves a yield and cost problem, but it creates an interconnect one: the pieces now have to talk to each other across a package instead of through on-die wires. How well they can do that — the die-to-die bandwidth — is what determines whether a chiplet design performs like a monolithic one or pays a crippling communication tax. And that bandwidth lives at the seams, the shared edges between adjacent chiplets.
The physics is a bump count. Two chiplets connect through an array of micro-bumps along their shared shoreline, and the number of links is the bump density (one over the pitch squared) times the area of that bump field. Roughly half the bumps carry data and half are power and ground, so aggregate bandwidth is the data-bump count times the per-lane rate. The standard figure of merit is bandwidth per millimeter of shoreline, and this console computes it directly — naturally reproducing the ~1 TB/s/mm that advanced UCIe achieves.
That number hinges on the bump pitch, which the substrate sets. A silicon interposer supports the finest pitch — around 45 micrometers and below — for the highest bandwidth density, which is why advanced-package UCIe lives on silicon. A cheaper organic substrate manages coarser bumps near 110 micrometers, an order of magnitude lower in density, fine for less bandwidth-hungry links. Glass is an emerging middle path. The substrate choice is therefore a bandwidth-versus-cost decision, made explicit in the comparison here.
Chiplet count is the other lever: more chiplets add shared edge and total interconnect surface (and yield better individually), but each adds an interface to route, power and test. This estimator handles the interconnect-and-package side; pair it with the Chiplet Economics console for the yield-and-cost case, the Interposer Cost console for the substrate in depth, and the Package Size console for the full envelope.
Trusted by Chiplet Interconnect & Packaging Teams
“It reproduces UCIe's ~1 TB/s/mm advanced-package density from first principles — bump pitch and shoreline — which is exactly how we reason about D2D budgets. Showing the 10× gap to standard organic packaging settled our substrate choice for a bandwidth-bound design.”
“The shoreline-bandwidth framing is the right one, and pairing chiplet count to both interconnect surface and package size is the trade I make daily. Use it alongside the Chiplet Economics tool — yield-and-cost there, interconnect-and-package here.”
“Clean estimate of D2D bump count and bandwidth across pitches. The substrate comparison is useful for the advanced-vs-standard UCIe decision. Would love latency and protocol-overhead modeling, but as a bandwidth-and-package estimator it's excellent.”
“The many-small-chiplets preset shows beautifully how splitting adds shoreline and bandwidth. We used it to justify a finer partition for a memory-bandwidth-bound design. Physically grounded and fast.”
Love using our calculator?
Related tools
Similar Calculators
More tools in the same category
Package Cost Calculator
Estimate semiconductor packaging expenses across wire-bond, flip-chip, fan-out wafer-level packaging (FOWLP), and system-in-package (SiP) technologies. Incorporates substrate material costs, bonding equipment rates, and inspection overhead for accurate BOM and COGS modeling.
CoWoS Cost Calculator
Analyze TSMC CoWoS packaging costs and production economics for AI accelerators and HPC chips, including interposer pricing, HBM stacking, and yield loss factors. Models CoWoS-S, CoWoS-R, and CoWoS-L variants with substrate scarcity and capacity constraint adjustments.
3D IC Calculator
Evaluate 3D integrated circuit designs with through-silicon via (TSV) density modeling, hybrid bonding yield analysis, and thermal-stacking constraints. Supports face-to-face and face-to-back bonding configurations with power-delivery network and signal-integrity co-optimization.
HBM Cost Estimator
Calculate High Bandwidth Memory integration costs from HBM2E through HBM4, including TSV stack pricing, base-die logic, and 2.5D interposer overhead. Analyzes bandwidth-per-watt efficiency, capacity-per-package scaling, and supply-chain allocation for AI training and inference workloads.
Package Power Density Calculator
Estimate power density inside semiconductor packages with multi-die thermal stacking, hotspot identification, and cooling-path analysis. Supports AI accelerator packages exceeding 1,500W TDP with integrated TIM characterization and heat-spreader optimization.
Package Size Calculator
Determine package dimensions based on die count, substrate routing layers, I/O ball pitch, and thermal-management requirements. Optimizes for BGA, LGA, and custom form factors with DFM rule checking and warpage prediction for large-area AI packages.
Often Used Together
Complementary tools for complete analysis
Related Articles
Dive deeper with our expert guides and tutorials related to Chiplet Package Estimator
bandwidth = (bump density × shoreline area × 0.5) × rate ÷ 8 · bump density = (1000 ÷ pitch µm)² · Last reviewed: 2026-06