DIP → QFP → BGA → Flip-Chip → Fan-Out → 2.5D → 3D
| Era | Package | I/O Count | Key Feature | Limitation |
|---|---|---|---|---|
| 1970s | DIP Through-hole | 8–64 | Simple, hand-solderable | Low density, high inductance |
| 1980s | QFP SMD | 44–304 | Peripheral leads, fine pitch | Fragile leads, coplanarity |
| 1990s | BGA Area-array | 100–2000+ | Solder balls underneath | Inspection difficulty |
| 2000s | Flip-Chip BGA Bumped | 1000–5000+ | Die face-down; short interconnects | Underfill, CTE mismatch |
| 2010s+ | Fan-Out WLP eWLB | 500–3000+ | RDL routing beyond die edge | Die shift, warpage |
The key innovation: the redistribution layer (RDL) routes signals from the die's fine-pitch pads to a larger fan-out area, enabling more I/Os without increasing die size.
Silicon interposers · RDL interposers · Embedded bridges
Multiple die placed side-by-side on a shared interposer, connected via fine-pitch interconnects
μ-bump pitch enables TB/s-class die-to-die and die-to-HBM links
Short interconnect (~1 pJ/bit) vs off-package (~10 pJ/bit)
Each die on optimal process node — logic at N3, I/O at N5/N7
| Variant | Interposer | Max Size | Key Application | Interconnect |
|---|---|---|---|---|
| CoWoS-S | Silicon + TSVs | 3.3× reticle (~2700 mm²) | NVIDIA H100, AMD MI300 | Sub-μm Cu RDL, eDTC |
| CoWoS-R | RDL organic (polymer) | > 3.3× reticle | Cost-sensitive HPC | Wider pitch, lower cost |
| CoWoS-L | RDL + LSI chip bridges | 5.5–9.5× reticle | NVIDIA B100/B200/B300, AMD MI355X | LSI for fine-pitch D2D, RDL for coarse |
CoWoS-L innovation: Local Silicon Interconnect (LSI) chips provide sub-μm die-to-die links where needed, while an organic RDL interposer handles power distribution and coarse routing over a much larger area — breaking the reticle size limit of pure silicon interposers.
Capacity ramp:
| 2024 | 35–40K wafers/month |
| 2025 | 65–90K wafers/month |
| 2026e | 120–135K wafers/month |
NVIDIA alone: ~63% of CoWoS demand
Small silicon bridge embedded inside the organic substrate cavity — only where die-to-die links are needed.
| Aspect | EMIB | CoWoS |
|---|---|---|
| Interposer | None (local bridge) | Full interposer |
| TSVs | Not required | Required (silicon) |
| Scalability | Modular bridges | Reticle-limited |
| Cost | Lower per bridge | Higher (large Si) |
| Best for | ASICs, networking | GPU + HBM |
Mass production since 2017 (Stratix 10 MX FPGA); used in Ponte Vecchio, Granite Rapids.
| Company | Technology | Approach | Status |
|---|---|---|---|
| TSMC | CoWoS-S/-R/-L | Silicon + RDL + LSI hybrid interposers | HVM Market leader |
| Intel | EMIB / EMIB 3.5D | Embedded silicon bridges in substrate | HVM Since 2017 |
| Samsung | I-Cube / H-Cube | Silicon interposer (I-Cube); hybrid 2.5D+3D | Ramp |
| ASE | FOCoS / VIPack | Fan-out + silicon bridge + TSV | Ramp |
| Amkor | S-Connect / 2.5D Si | Silicon interposer, TSMC-partnered | Expanding AZ campus (up to $7B, 2028+) |
OSATs (ASE, Amkor, SPIL) are building CoWoS-like capacity as second-source options for fabless customers.
Die-on-die stacking · TSVs · Hybrid bonding · SoIC · Foveros
AMD MI300X: XCDs (N5) 3D-stacked on IODs (N6), then placed on 2.5D Si interposer with HBM3 — a "3.5D" architecture.
| Method | Pitch | Density |
|---|---|---|
| μ-bump (solder) | 30–55 μm | ~400/mm² |
| Cu pillar | 20–40 μm | ~1000/mm² |
| Hybrid bond | 0.5–9 μm | 10K–1M/mm² |
$3.5B+ investment in SoIC capacity across multiple Taiwan sites
$3.5B New Mexico facility dedicated to Foveros
Disaggregation · UCIe · Die-to-die protocols
The "USB for chiplets" — an open standard for die-to-die communication
| Spec | UCIe 1.0 | UCIe 2.0 | UCIe 3.0 |
|---|---|---|---|
| Data Rate | 4–32 GT/s | 32 GT/s | 64 GT/s |
| Reach | Standard + Advanced | Extended | + 100 mm sideband |
| Protocols | PCIe, CXL | + streaming | + priority, throttle |
| Released | 2022 | 2024 | Aug 2025 |
Consortium members: AMD, Arm, ASE, Google, Intel, Meta, Microsoft, NVIDIA, Qualcomm, Samsung, TSMC, and 100+ others
PDN integrity · TDP scaling · Advanced cooling · BSPDN
As AI accelerators cross the 1000W TDP line (NVIDIA B200) and push toward 1400–2300 W (B300 / Rubin VR200), power delivery through the package becomes critical.
TSMC BSPDN arrives in A16 ("Super Power Rail"), H2 2026 — power rails on wafer backside, freeing frontside for signal routing density. N2/N2P use conventional frontside power delivery.
NVIDIA Blackwell · AMD MI300X · Apple M-series · Intel Ponte Vecchio
| Process | TSMC N4P |
| Package | CoWoS-L (5.5× reticle+) |
| Architecture | Dual compute chiplets |
| D2D Link | 10 TB/s NV-HBI (custom) |
| Memory | 8× HBM3E stacks |
| HBM BW | 8 TB/s aggregate |
| TDP | 1000W (SXM/HGX) |
| Transistors | 208 billion |
| XCDs | 8× CDNA 3 compute (TSMC N5) |
| IODs | 4× I/O die (TSMC N6) |
| 3D Bond | XCDs hybrid-bonded onto IODs (SoIC) |
| 2.5D | Stacked die on CoWoS-S Si interposer |
| HBM | 8× HBM3 stacks (192 GB) |
| TDP | 750W |
| Transistors | 153 billion |
First production GPU to combine 3D stacking (logic-on-logic) with 2.5D interposer integration.
Two M2 Max dies connected via UltraFusion — a custom silicon interposer bridge providing 2.5 TB/s die-to-die bandwidth. Uses TSMC InFO + silicon bridge.
Appears as unified SoC to macOS
47 active tiles, 5 process nodes, 100B+ transistors. Combines Foveros (3D stacking), EMIB (2.5D bridges), and standard packaging in one product.
Most complex IC package ever produced (2023)
Up to 16 CCDs (Zen 5 compute) connected to a central IOD via Infinity Fabric. Each CCD is a reusable chiplet — same die as Ryzen consumer parts.
Chiplet economics: 1 CCD design → 4+ product families
Panel-level packaging · Photonics · System-on-Wafer · SiC substrates
Fan-Out Panel-Level Packaging — move from 300 mm wafers to 600×600 mm panels. Dramatically lower cost per unit area for large packages.
Photonic transceivers integrated into the package. Eliminates electrical I/O bottlenecks for data center interconnect at 100+ Tbps per package.
TSMC's SoW-X architecture — entire wafer-scale integration for extreme AI/HPC. Complements Cerebras WSE approach at foundry level.
Silicon carbide as interposer material — 3× thermal conductivity of Si, better mechanical robustness. TSMC actively exploring for next-gen CoWoS.
Intel investing in glass core substrates — superior flatness, thermal stability, and ultra-fine through-glass vias (TGV) vs. organic substrates.
Chip on Panel on Substrate — TSMC's ultra-large-area approach complementing CoWoS for future AI/HPC packages beyond wafer-scale limits.
How to choose the right packaging approach for your SoC
| Requirement | Recommended Packaging | Example |
|---|---|---|
| Low cost, moderate I/O | Wire bond / QFP / standard BGA | IoT MCUs, sensors |
| High I/O, single die | Flip-chip BGA | Application processors, FPGAs |
| Thin profile, mobile | Fan-out WLP (InFO) | Apple A-series, Qualcomm Snapdragon |
| GPU + HBM (high BW) | 2.5D CoWoS-S/-L | NVIDIA H100/B200, AMD MI300 |
| Modular chiplets, ASIC | EMIB or fan-out bridge | Intel Ponte Vecchio, networking ASICs |
| Maximum integration | 3D stacking (SoIC/Foveros) + 2.5D | AMD MI300X (3.5D hybrid) |
| Ultra-scale AI | SoW / FoPLP / CoPoS | Next-gen data center accelerators |
| Metric | Wire Bond | Flip-Chip | 2.5D CoWoS | 3D Hybrid Bond |
|---|---|---|---|---|
| I/O Density | ~20/mm | ~25/mm² | ~400/mm² | 10K–1M/mm² |
| Bump Pitch | 50–60 μm pad | 100–150 μm | 30–55 μm | 0.5–9 μm |
| D2D BW | — | — | TB/s class | Multi-TB/s |
| Energy / bit | ~5 pJ | ~2 pJ | ~0.5 pJ | ~0.05 pJ |
| Rel. Cost | 1× | 2–3× | 5–10× | 10–20× |
| Heterogeneous | No | Limited | Yes | Yes (3D) |
TSMC 3DFabric — CoWoS, InFO, SoIC technology documentation
Intel Packaging — EMIB, Foveros, glass substrate technology briefs
UCIe Consortium — Universal Chiplet Interconnect Express specifications (1.0, 2.0, 3.0)
Yole Group — "State of Advanced Packaging 2024" market report
IEEE ECTC 2025 — TSMC direct-to-silicon liquid cooling demonstration
JEDEC — HBM3/HBM3E (JESD238), HBM4 (JESD270-4, Apr 2025)
AMD — MI300X architecture white paper; EPYC chiplet design methodology
NVIDIA — Blackwell architecture technical overview
Lau, J.H. — Semiconductor Advanced Packaging, Springer, 2021
Vivet, P. et al. — "Chiplet-based architecture for edge AI computing," IEEE JSSC, 2023
Presentation built with Reveal.js 4.6 · Saira Semi Condensed + Archivo + Share Tech Mono
Educational use. Code examples provided as-is.