<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 760 470" font-family="Segoe UI,Helvetica,Arial,sans-serif"><rect x="0" y="0" width="760" height="470" rx="14" fill="#0d1117"/><text x="20" y="30" fill="#e6edf3" font-size="19" font-weight="700">Advanced packaging: the landscape of ways to wire many dies as one</text><text x="20" y="50" fill="#8b949e" font-size="12.5">When one big die stops paying off, performance comes from linking separate dies in-package to act like one chip</text><!-- ===== PANEL 1 ===== --><rect x="20" y="66" width="226" height="298" rx="7" fill="#0c141d" stroke="#30363d"/><text x="36" y="92" fill="#38bdf8" font-size="14" font-weight="700">1 · Why package at all</text><text x="132" y="111" text-anchor="middle" fill="#f87171" font-size="8.5">reticle limit ~800 mm²</text><line x1="40" y1="116" x2="224" y2="116" stroke="#f87171" stroke-width="1" stroke-dasharray="4 3"/><rect x="92" y="120" width="80" height="28" rx="3" fill="#1c2733" stroke="#f87171"/><text x="132" y="138" text-anchor="middle" fill="#adb5bd" font-size="10">one big die</text><text x="36" y="170" fill="#adb5bd" font-size="10.5">Two hard walls hit at once:</text><text x="36" y="186" fill="#f0a0a0" font-size="10.5">· reticle — a die can't top ~800 mm²</text><text x="36" y="201" fill="#f0a0a0" font-size="10.5">· memory wall — one die can't feed</text><text x="36" y="214" fill="#f0a0a0" font-size="10.5">  enough HBM to a matrix engine</text><text x="36" y="238" fill="#34d399" font-size="10.5" font-weight="700">The fix: split into chiplets and</text><text x="36" y="252" fill="#34d399" font-size="10.5" font-weight="700">bring the memory into the package</text><rect x="44" y="262" width="176" height="34" rx="3" fill="#3a2c1e" stroke="#5a4632"/><rect x="64" y="268" width="40" height="22" rx="2" fill="#38506a" stroke="#6f8fb0"/><text x="84" y="282" text-anchor="middle" fill="#cfe0ef" font-size="8">HBM</text><rect x="116" y="268" width="32" height="22" rx="2" fill="#233041" stroke="#6f8fb0"/><text x="132" y="282" text-anchor="middle" fill="#cfe0ef" font-size="8">logic</text><rect x="160" y="268" width="40" height="22" rx="2" fill="#38506a" stroke="#6f8fb0"/><text x="180" y="282" text-anchor="middle" fill="#cfe0ef" font-size="8">HBM</text><text x="132" y="312" text-anchor="middle" fill="#8b949e" font-size="9">one package, behaving like one chip</text><!-- ===== PANEL 2 ===== --><rect x="267" y="66" width="226" height="298" rx="7" fill="#0c141d" stroke="#30363d"/><text x="283" y="92" fill="#38bdf8" font-size="14" font-weight="700">2 · The family of techniques</text><!-- 2.5D row --><rect x="283" y="118" width="30" height="5" fill="#38506a"/><rect x="285" y="110" width="12" height="8" rx="1" fill="#233041" stroke="#6f8fb0"/><rect x="300" y="110" width="12" height="8" rx="1" fill="#233041" stroke="#6f8fb0"/><text x="322" y="115" fill="#38bdf8" font-size="10.5" font-weight="700">2.5D — on an interposer</text><text x="322" y="128" fill="#8b949e" font-size="9.3">CoWoS-S/R/L · EMIB · Si bridge</text><!-- Fan-out row --><rect x="285" y="158" width="24" height="7" rx="1" fill="#1c2733" stroke="#6f8fb0"/><rect x="283" y="166" width="28" height="5" fill="#1c1430" stroke="#6b5fb0"/><text x="322" y="160" fill="#34d399" font-size="10.5" font-weight="700">Fan-out — RDL, no substrate</text><text x="322" y="173" fill="#8b949e" font-size="9.3">FOWLP · InFO · FOPLP</text><!-- 3D row --><rect x="287" y="204" width="22" height="6" rx="1" fill="#16332a" stroke="#3f9d6f"/><rect x="287" y="211" width="22" height="6" rx="1" fill="#1c2733" stroke="#3f9d6f"/><text x="322" y="209" fill="#a99cf0" font-size="10.5" font-weight="700">3D — stacked vertically</text><text x="322" y="222" fill="#8b949e" font-size="9.3">TSV stack · Cu-Cu bond · monolithic</text><line x1="283" y1="242" x2="477" y2="242" stroke="#30363d"/><text x="283" y="262" fill="#e0b13a" font-size="10.5" font-weight="700">Coarser → finer die-to-die pitch:</text><text x="283" y="278" fill="#c9d1d9" font-size="9.6">substrate · fan-out · 2.5D · 3D · monolithic</text><text x="283" y="303" fill="#8b949e" font-size="10">Finer pitch buys more bandwidth</text><text x="283" y="317" fill="#8b949e" font-size="10">per edge — and costs more to build.</text><text x="283" y="341" fill="#8b949e" font-size="10">Heterogeneous integration mixes</text><text x="283" y="354" fill="#8b949e" font-size="10">nodes and functions across all three.</text><!-- ===== PANEL 3 ===== --><rect x="514" y="66" width="226" height="298" rx="7" fill="#0c141d" stroke="#30363d"/><text x="530" y="92" fill="#38bdf8" font-size="14" font-weight="700">3 · The shared trade-offs</text><circle cx="535" cy="115" r="3" fill="#38bdf8"/><text x="545" y="118" fill="#38bdf8" font-size="11" font-weight="700">Electrical</text><text x="545" y="132" fill="#adb5bd" font-size="10.3">interconnect pitch sets BW &amp; pJ/bit</text><circle cx="535" cy="152" r="3" fill="#f87171"/><text x="545" y="155" fill="#f87171" font-size="11" font-weight="700">Thermal</text><text x="545" y="169" fill="#adb5bd" font-size="10.3">heat must escape dense/stacked dies</text><circle cx="535" cy="189" r="3" fill="#e0b13a"/><text x="545" y="192" fill="#e0b13a" font-size="11" font-weight="700">Mechanical</text><text x="545" y="206" fill="#adb5bd" font-size="10.3">CTE mismatch → warpage &amp; stress</text><circle cx="535" cy="226" r="3" fill="#34d399"/><text x="545" y="229" fill="#34d399" font-size="11" font-weight="700">Yield &amp; cost</text><text x="545" y="243" fill="#adb5bd" font-size="10.3">known-good-die, test, capacity chain</text><line x1="530" y1="258" x2="724" y2="258" stroke="#30363d"/><text x="530" y="278" fill="#f0d9b5" font-size="11" font-weight="700">Packaging is now as central to</text><text x="530" y="292" fill="#f0d9b5" font-size="11" font-weight="700">performance as the transistor.</text><text x="530" y="315" fill="#8b949e" font-size="10">One coupled electrical–thermal–</text><text x="530" y="329" fill="#8b949e" font-size="10">mechanical–economic system.</text><!-- ===== BOTTOM CARDS ===== --><rect x="20" y="384" width="226" height="70" rx="7" fill="#111a24" stroke="#30363d"/><text x="36" y="406" fill="#f87171" font-size="12.5" font-weight="700">Two walls forced it</text><text x="36" y="424" fill="#adb5bd" font-size="10">The reticle limit (~800 mm²) and the</text><text x="36" y="437" fill="#adb5bd" font-size="10">memory wall pushed designs off one</text><text x="36" y="450" fill="#adb5bd" font-size="10">monolithic die.</text><rect x="267" y="384" width="226" height="70" rx="7" fill="#111a24" stroke="#30363d"/><text x="283" y="406" fill="#e0b13a" font-size="12.5" font-weight="700">Pick by interconnect density</text><text x="283" y="424" fill="#adb5bd" font-size="10">Substrate, fan-out, 2.5D, 3D and</text><text x="283" y="437" fill="#adb5bd" font-size="10">monolithic trade cost for tighter</text><text x="283" y="450" fill="#adb5bd" font-size="10">die-to-die pitch.</text><rect x="514" y="384" width="226" height="70" rx="7" fill="#111a24" stroke="#30363d"/><text x="530" y="406" fill="#34d399" font-size="12.5" font-weight="700">Same coupled trade-offs</text><text x="530" y="424" fill="#adb5bd" font-size="10">Every option juggles electrical,</text><text x="530" y="437" fill="#adb5bd" font-size="10">thermal, mechanical, yield and</text><text x="530" y="450" fill="#adb5bd" font-size="10">cost together.</text></svg>

Advanced Packaging and Chiplet Integration are now core performance levers for AI and high-performance compute products because transistor scaling alone no longer provides sufficient system-level gains. Packaging architecture determines bandwidth, power delivery, thermals, yield strategy, and product modularity across modern accelerator and server designs.

Why Packaging Became a First-Order Differentiator

• Large monolithic die approaches face reticle, yield, and cost limits at advanced nodes, making chiplet partitioning economically attractive.
• AI accelerators require extreme memory bandwidth, low inter-die latency, and high power density support that traditional packages cannot deliver.
• Packaging now influences system performance as much as front end transistor design in many product classes.
• Chiplet architectures allow mixed-node integration, combining leading-edge compute die with mature-node IO and analog components.
• Partitioning strategy can improve yield by reducing defect-sensitive die area per component.
• Product roadmaps increasingly treat package platform choice as an architectural decision, not a late manufacturing detail.

Platform Landscape: CoWoS, InFO, Foveros, I-Cube

• TSMC CoWoS platforms are widely used for high-bandwidth AI products that integrate logic die with HBM stacks on silicon interposer structures.
• TSMC InFO variants target mobile and performance packaging scenarios with fan-out integration benefits.
• Intel Foveros and EMIB approaches provide 3D and bridge-based integration paths for heterogeneous die assembly.
• Samsung I-Cube and X-Cube programs address 2.5D and 3D integration needs in high-performance markets.
• Platform selection impacts achievable interconnect density, thermal path, assembly yield, and ecosystem availability.
• Vendor capacity constraints in premium packaging lines can become product launch bottlenecks.

HBM Integration and 2.5D or 3D Stacking

• HBM integration is central for accelerator-class bandwidth targets and commonly uses advanced interposer or 3D integration methods.
• 2.5D packaging supports wide, short interconnect paths between compute die and memory stacks with lower signal loss than board-level links.
• 3D stacking and hybrid bonding can reduce interconnect length further and improve bandwidth per watt.
• Thermal management becomes harder as memory and logic are packed more tightly, requiring co-design of package and cooling stack.
• Power integrity design must address simultaneous switching noise across dense microbump or hybrid-bonded interfaces.
• Packaging decisions should be evaluated against realistic workload bandwidth and thermal profiles, not only peak data rates.

UCIe and Interconnect Standardization

• UCIe standardization aims to reduce interoperability friction for die-to-die links across chiplet ecosystems.
• Standardized interconnects can accelerate time to market by enabling reusable IP blocks and third-party die integration.
• Real adoption still depends on physical design rules, package substrate constraints, and validated ecosystem tooling.
• Signal integrity, protocol stack overhead, and latency targets must be co-optimized during architecture planning.
• Verification burden increases with heterogeneous die sourcing and mixed vendor integration models.
• Standard interfaces improve optionality but do not remove the need for deep package and SI expertise.

Supply Chain, Cost, and Deployment Guidance

• Advanced packaging capacity, ABF substrates, and HBM availability are major schedule and cost risk points.
• CoWoS and similar high-end packaging demand has created periodic lead-time pressure for AI accelerator programs.
• Total package cost can be a large share of product BOM in high-bandwidth accelerator designs.
• Teams should evaluate package architecture using full-system metrics: performance per watt, yield, thermal headroom, and assembly risk.
• Early design-technology co-optimization between silicon and package teams reduces late-stage integration failures.
• Capacity reservation strategy with foundry and OSAT partners is often necessary for predictable ramp.

Advanced packaging is no longer an implementation afterthought. It is a strategic architecture domain that links silicon design, memory strategy, manufacturing capacity, and product economics into one decision framework for modern AI and compute systems.