Modern SoC Design Series · Presentation 09

ML Accelerator SoC
Power Delivery

From VRM to Transistor — Delivering 1000 W+ to AI Silicon. A rigorous tour of PDN impedance, backside power, integrated voltage regulation, and the techniques that keep next-generation ML accelerators within their voltage noise budget.

BSPDN PIVR On-die Voltage Regulation PDN Impedance eDTC Power Integrity IR Drop
TOPIC

Why Power Delivery Matters for ML SoCs

the hardest problem nobody outside silicon talks about

1000–1400 WTDP of today's flagship AI GPUs (B200 1000 W, B300 / MI355X 1400 W); Rubin VR200 ~2.3 kW (2026)
600+ APeak current at 0.75 V core supply
<3%Voltage noise budget (±22 mV at 0.75 V)
100+ A/nsdi/dt transient during workload switching

Why It Is Getting Harder

  • Lower Vdd — sub-0.8 V rails shrink absolute noise margin
  • Higher current density — >2 A/mm² in modern logic tiles
  • Bursty workloads — GEMM→all-reduce transitions create massive di/dt
  • Larger die / multi-die — reticle-limit dies and chiplet assemblies lengthen PDN
  • Thermal co-stress — hot spots raise local resistance, worsening IR drop

Consequences of Poor Power Delivery

  • Timing failures — voltage droop slows gates, violates setup constraints
  • Frequency guardband — 10–15% clock reduction to tolerate worst-case droop
  • Electromigration — J > J_crit accelerates void formation (Black’s law)
  • Reliability — repeated thermal cycling fatigues solder bumps/pillars
  • Power waste — voltage guardbands × current = wasted Watts
Every 1% reduction in voltage guardband for a 1000 W accelerator recovers ~10 W — equivalent to a meaningful gain in TOPS/W for inference workloads.
I

PDN Fundamentals

Impedance targets, decoupling hierarchies, and IR drop — the physics that constrain every watt reaching the transistor.

TOPIC

Power Delivery Network Overview

VRM → PCB → Package → Die — every stage matters

VRM (Voltage Regulator Module) — 48 V → 0.75 V, multi-phase buck, <1 mΩ output impedance
↓
PCB Planes & Traces — 12–20 layer stackup, 50–200 µΩ sheet resistance, bulk & MLCC decaps
↓
Package Substrate — 8–16 RDL layers, µ-bumps / C4 bumps, package decoupling caps (100s of nF)
↓
On-Die PDN — M1–M15 metal stack, on-die MOS caps / eDTC, <10 mΩ target at >100 MHz

Impedance Budget by Stage

StageZ_typFrequency RangeKey Elements
VRM<1 mΩDC – 100 kHzOutput filter LC
PCB0.5–2 mΩ100 kHz – 10 MHzBulk + MLCC caps
Package1–5 mΩ10–200 MHzPkg caps, TSVs
On-die<1 mΩ>200 MHzMOS caps, eDTC

Typical Numbers — 700W AI GPU

Core voltage (Vdd)0.75 V nominal
Peak current~930 A
Bump / pillar count50,000+ power bumps
PCB decoupling~10 mF (MLCC array)
Package decoupling200–800 nF
On-die MOS cap100–300 nF
TOPIC

PDN Impedance & Target Impedance

frequency-domain view of power delivery quality

Z_target = V_ripple / I_transient   —   e.g. Z_target = 22.5 mV / 600 A = 37.5 µΩ

Target Impedance Method

  • Flat impedance — maintain Z < Z_target from DC to ~1 GHz
  • Anti-resonance peaks — occur at transitions between cap stages; must be damped below target
  • Series resonance of each cap stage creates a “valley” in Z(f) where that stage dominates
  • Parallel resonance between adjacent stages creates dangerous peaks
  • Analysis via S-parameter measurements or 3D EM extraction tools (Ansys SIwave, Cadence Sigrity)
For a 1000 W SoC at 0.75 V with 3% noise margin: Z_target = 0.0225 / 1333 = 16.9 µΩ — an extraordinarily low impedance to maintain across decades of frequency.

Frequency Regimes

RegimeFreqDominant Elements
VRM loopDC – 50 kHzVRM feedback + output caps
PCB resonance50 kHz – 5 MHzBulk + MLCC bank
Package cavity5–200 MHzPkg caps + substrate planes
On-die network200 MHz – 2 GHzOn-die decap + grid R/L
On-die local>2 GHzLocal wiring + gate cap

Anti-Resonance Mitigation

  • Overlap ESR-damped capacitor values to smooth transitions
  • Use controlled-ESR capacitors to flatten peaks
  • Distribute package caps spatially to reduce mutual inductance
  • eDTC on-die capacitance pushes mid-frequency Z below target
TOPIC

Decoupling Capacitor Hierarchy

ESL and ESR dominate performance at each stage

Cap TypeCapacitanceESRESLf_resLocationRole
Bulk electrolytic100–1000 µF5–50 mΩ 5–20 nH50–200 kHzPCB near VRMEnergy reservoir, VRM decoupling
MLCC (0402/0201)100 nF – 22 µF2–10 mΩ 200–800 pH2–30 MHzPCB under socketMid-frequency decoupling
Package MIM caps10–200 nF10–50 mΩ 30–100 pH50–500 MHzPackage substratePackage resonance suppression
On-die MOS cap50–200 nF1–5 mΩ <10 pH>1 GHzDie (filler cells)High-freq local decoupling
eDTC (deep trench)100–500 nF<2 mΩ <5 pH>2 GHzDie (BEOL/substrate)Ultra-high-freq, replaces area
ESL is the enemy. At high frequencies, Z = 2πf · ESL dominates. A 10 µF cap with 1 nH ESL has Z = 6.3 Ω at 1 GHz — useless for on-die decoupling. Only on-die caps with sub-10 pH ESL matter above 200 MHz.
Modern PDN: 1000+ MLCC on the PCB, 100+ package caps in the substrate, and >15% of die area dedicated to on-die decoupling (MOS cap filler + eDTC). Total system decoupling: ~10–15 mF.
TOPIC

IR Drop Analysis

static vs dynamic drop, current density, and electromigration

Static IR Drop

  • V_drop = I × R_path from pad to transistor
  • Dominated by metal stack sheet resistance (Cu at 5nm: R_sheet ~50–100 mΩ/sq for M1)
  • Worst at die center — longest path from peripheral power bumps
  • Typical budget: 20–40 mV static drop (3–5% of Vdd)
  • Mitigation: thicker upper metals (M12–M15 at 3–5 µm), denser bump grid, BSPDN

Dynamic IR Drop

  • V_drop = L × di/dt + I × R — inductive component dominates during transients
  • Triggered by simultaneous switching of large logic blocks
  • Can exceed static drop by 2–5× during worst-case events
  • Duration: typically 1–50 ns droop events
  • Mitigation: decoupling, staggered clock enables, power-aware placement

Electromigration & Black's Equation

MTTF = A × J−n × exp(E_a / k_B T)
  • J — current density (A/cm²); n ≈ 1–2 for Cu
  • E_a — activation energy (~0.7–0.9 eV for Cu dual-damascene)
  • T — temperature; 10°C rise → ~2× EM rate acceleration
  • J_max for Cu at 105°C: ~1–2 MA/cm² (varies by process / metal level)
  • Power grid wires must be sized for EM limits, not just IR drop

Current Density Maps

  • Generated via vectorless or VCD-based dynamic analysis
  • Hot spots correlate with high-activity macro blocks (tensor cores, SRAM banks)
  • Tools: Cadence Voltus, Synopsys RedHawk, Ansys Totem
  • Signoff criteria: max dynamic droop < 8–10% Vdd, EM margin >10 years at 105°C
II

Voltage Regulation

From board-level VRMs to package-integrated and on-die regulators — moving regulation closer to the load.

TOPIC

VRM Topologies for AI Accelerators

multi-phase buck converters, DrMOS, and transient response

Multi-Phase Buck Converter

  • Topology — N interleaved buck phases (typically 12–20 phases for >600A)
  • Switching freq — 400–800 kHz per phase; effective ripple at N×f_sw
  • Current sharing — DCR sensing or hall-effect; <5% imbalance target
  • Efficiency — 90–93% at full load for 12V→0.75V conversion
  • Transient response — droop during 0→full-load step: V_droop = L_out × di/dt
  • Output filter — L: 50–150 nH/phase, C_out: 10–30 mF total

48V Direct Conversion

  • OCP Open Rack V3: 48V bus eliminates 12V intermediate stage
  • 4:1 ratio — 48V → ~12V via switched-cap, then multi-phase buck to Vcore
  • Or direct 48V→0.75V using high-ratio topologies (Vicor, Infineon)
  • Reduces I²R losses in PCB (4× lower current at 48V vs 12V)
  • NVIDIA HGX B200: 48 V input, 1000 W per GPU (GB200 Grace+Blackwell superchip ~2.7 kW; B300 1400 W)

DrMOS & Smart Power Stages

  • DrMOS: Driver + high-side + low-side FETs in single package (8×8 mm)
  • Infineon TDA21490: 90A continuous, R_DS(on) < 0.5 mΩ
  • Renesas ISL99390: 90A, integrated temperature sensing
  • GaN power stages — higher f_sw (2–4 MHz), smaller inductors, faster transient
  • EPC2302: GaN FET, 1.3 mΩ, enables >2 MHz switching

VRM Spec Example — AI GPU Card

Input voltage48V (rack) or 12V (legacy)
Output voltage0.65–0.85V (DVFS range)
Max current900–1600 A
Phase count16–24 phases
Efficiency>90% at 80% load
Load-step response<25 mV droop for 500A step
TOPIC

On-Package Voltage Regulation (PIVR)

Intel FIVR and the push to integrate regulation into the package

Intel Fully Integrated Voltage Regulator (FIVR)

  • First deployed in Haswell (2013); removed after Broadwell in client; partially restored in Ice Lake/Sapphire Rapids server; modern Intel client (Meteor/Arrow/Lunar Lake) uses package VRM + on-die DLVR (digital linear VR)
  • Topology — on-die multi-phase buck with thin-film inductors on package
  • Switching frequency: 60–140 MHz (100× higher than board VRM)
  • Enables per-core DVFS with <100 ns voltage transition
  • Inductor: air-core thin-film, ~1–2 nH, embedded in package substrate
  • Efficiency: 85–90% (trades ~3% vs board VRM for faster response)
FIVR eliminates the PCB-to-die impedance for the regulated domain. The VRM output is inside the package — reducing PDN inductance by 10–50× versus board regulation. This translates directly to reduced voltage guardband.

Advantages Over Board VRM

  • Faster transient response — 100 ns vs 10–50 µs for board VRM
  • Per-domain regulation — separate rails for each core, GPU, IO, etc.
  • Reduced guardband — 30–50 mV savings enables higher frequency or lower power
  • Fewer board components — simpler motherboard, smaller form factor
  • Dynamic power savings — rapid DVFS during idle/burst cycles

PIVR in AI Accelerators

  • Intel Ponte Vecchio — FIVR with per-tile regulation across 47 chiplets
  • Intel Gaudi 3 — FIVR for independent HBM and compute voltage domains
  • Package inductors: 2.5D embedded thin-film on EMIB interposer
  • Trade-off: FIVR consumes ~2–4% die area for power FETs + control
TOPIC

On-Die LDO & Integrated Voltage Regulators

granular per-block DVFS with fully on-die regulation

On-Die LDO (Low Dropout Regulator)

  • Topology — PMOS pass transistor + error amplifier, fully in standard CMOS
  • Dropout — 50–100 mV minimum (V_in − V_out)
  • Efficiency — η = V_out / V_in ≈ 85–93% (limited by dropout)
  • Bandwidth — loop BW up to 100–500 MHz — excellent transient response
  • Area — ~0.01–0.05 mm² per LDO instance, distributed across die
  • Use case — per-core, per-SRAM-bank, or per-tensor-unit voltage islands

Digital LDO

  • Array of parallel PMOS switches with binary-weighted widths
  • Digital comparator + shift register replaces analog error amp
  • Advantage — fully synthesizable, scales with process node
  • Disadvantage — limit-cycle oscillation, slower response than analog LDO
  • Hybrid designs combine coarse digital + fine analog paths

On-Die Switched-Cap IVR

  • Charge-pump topology: 2:1 or 3:2 ratio conversion using on-die MOS caps
  • Efficiency — >90% at fixed rational conversion ratios
  • No inductors required — fully CMOS compatible
  • Flying capacitors: MOS-cap or MIM-cap in BEOL stack
  • Limitation — fixed ratio; cascaded with LDO for fine regulation
  • Apple M-series: switched-cap + LDO for per-cluster voltage islands

Trade-offs: Board vs Package vs Die Regulation

MetricBoard VRMPIVR (FIVR)On-Die LDO
Efficiency90–95%85–90%85–93%
Transient (ns)10,000–50,000100–1,0001–50
Guardband savedbaseline30–50 mV50–80 mV
Die area cost0%2–4%3–8%
Granularity1–2 rails4–16 domains100s of islands
III

Advanced PDN Technologies

Backside power delivery, deep trench capacitors, and TSV-based power — the innovations redefining what is physically possible.

TOPIC

BSPDN — Backside Power Delivery Network

Intel PowerVia, TSMC N2P — decoupling power from signal routing

How BSPDN Works

  • Conventional (frontside) — power & signal share the same BEOL metal stack
  • BSPDN — power rails delivered through the backside of the wafer via nano-TSVs
  • Wafer is thinned to ~1–3 µm, backside metallization added (2–4 metal layers)
  • Nano-TSVs (~50–200 nm diameter) connect backside power to frontside transistors
  • Signal routing uses full BEOL stack — no power rails consuming M1/M2 tracks

Intel PowerVia (Intel 20A / 18A)

  • First production BSPDN: Intel 18A (2025) — Intel 20A was cancelled as a HVM node; 18A ships in Panther Lake (client) and Clearwater Forest (Xeon 6+)
  • Backside power with RibbonFET (gate-all-around) transistors
  • 30–50% IR drop reduction vs frontside at iso-density
  • 6–10% frequency uplift from reduced voltage guardband
  • Cell height reduction: enables 6T SRAM at higher density

Benefits of BSPDN

  • IR drop — 30–50% reduction; shorter, wider power paths to transistors
  • Signal routing — 15–25% more tracks available (no VDD/VSS on M1/M2)
  • Cell density — tighter standard cell pitch; potential 10–20% area reduction
  • Decoupling — backside metal planes act as distributed capacitance
  • Thermal — direct backside metal contact to heat sink / cold plate

TSMC Backside Power (N2P, A16)

NodeA16 w/ Super Power Rail, mass production late 2026 (N2 in HVM Q4 2025 w/o BSPDN)
TSV diameter~50–100 nm nano-TSV
Backside metals2–4 layers
IR drop improvement25–40% vs N2
Density benefit~10% logic density gain
Target customersHPC, AI accelerators, mobile AP
TOPIC

eDTC — Embedded Deep Trench Capacitors

TSMC's on-die capacitance revolution for PDN impedance

What is eDTC?

  • Deep trenches etched into the silicon substrate, lined with high-k dielectric and filled with conductor
  • Capacitance density: 250–400 nF/mm² (vs ~20 nF/mm² for MOS-cap filler)
  • 10–20× higher capacitance density than conventional on-die MOS decaps
  • Trenches are ~5–10 µm deep, ~100–200 nm wide, etched into Si substrate
  • Process: adapted from DRAM deep trench technology

Impact on PDN Impedance

  • 2–5× reduction in on-die PDN impedance at 200 MHz–2 GHz
  • Pushes anti-resonance peaks below target impedance
  • Enables flatter Z(f) profile across critical frequency band
  • Reduces need for package-level decoupling caps (cost saving)
  • Particularly impactful for large-die ML accelerators with high di/dt

TSMC eDTC Technology Roadmap

GenerationNodeDensityESLStatus
Gen 1N5/N4~250 nF/mm²<5 pHProduction
Gen 2N3E~350 nF/mm²<3 pHProduction
Gen 3N2~500 nF/mm²<2 pHDevelopment
For a 600 mm² die with 10% area allocated to eDTC at 400 nF/mm²: 24 µF of on-die capacitance with sub-5 pH ESL — this fundamentally changes the PDN impedance profile, suppressing resonance peaks that were previously the dominant source of voltage noise above 100 MHz.
NVIDIA and AMD have both adopted TSMC eDTC for their latest data center GPUs, citing 2–3% frequency improvement from reduced voltage guardband alone.
TOPIC

Through-Silicon Via Power Delivery

TSV arrays for 2.5D/3D stacking — current capacity, thermal co-design

TSV Power Delivery Basics

  • TSV diameter — 5–10 µm (standard), 1–3 µm (fine-pitch for 3D)
  • Resistance per TSV — ~10–50 mΩ (depending on diameter/depth)
  • Current per TSV — 10–50 mA per via at EM limits
  • Pitch — 30–100 µm; dense arrays needed for high-current delivery
  • For 500A total: need ~10,000–50,000 power TSVs

2.5D Interposer PDN (CoWoS)

  • TSMC CoWoS-S: silicon interposer with TSVs connecting package to chiplets
  • Interposer TSVs: 10 µm diameter, 100 µm depth, ~25 mΩ each
  • Power planes in interposer RDL layers (3–4 metal layers)
  • Decoupling capacitors can be placed on interposer (MIM caps)
  • Total power TSV count for HBM+GPU assembly: 50,000+

3D Stacking Power Challenges

  • Thermal stacking — top die heated by bottom die; T_junction rises → higher R → worse IR drop
  • TSV area overhead — 5–15% of die area consumed by TSV keep-out zones
  • Reliability — Cu TSV pumping, thermo-mechanical stress, Cu/oxide delamination
  • IR drop compounds — power must traverse multiple die layers in series
  • AMD 3D V-Cache: ~100k TSVs for power + signal between CCD and cache die

Thermal-Power Co-Design

Cu resistivity temp coeff+0.39%/°C
100°C vs 25°C R increase~30% higher resistance
Impact on IR drop20–30% worse at hot spots
MitigationThermal-aware placement, microfluidic cooling
3D power budgetOften limited to 50–100 W/die for 3D stack
IV

ML Accelerator Challenges

Real-world power delivery for 700W+ AI GPUs, di/dt management during training workloads, power integrity simulation, and chiplet architectures.

TOPIC

Power Delivery for 700W+ AI GPUs

NVIDIA Blackwell architecture, 48V racks, connector challenges

1000 WNVIDIA B200 TDP (B300: 1400 W; GB200 superchip: ~2700 W)
1600 APeak current at 0.75V Vcore
48VRack-level bus voltage (OCP)
2× diesMulti-die module (NVLink-C2C)

NVIDIA Blackwell Power Architecture

  • B200 module — 2 GPU dies on CoWoS-L substrate + 8 HBM3E stacks
  • 48V input — 48V→~6V (switched-cap IBC) → 0.75V (multi-phase buck)
  • VRM — 20+ phase digital multi-phase controller per die
  • Power connector — 16-pin 12VHPWR (or 48V direct via backplane)
  • PCB — 16+ layer, 2oz+ Cu, dedicated power planes per voltage rail
  • Package — CoWoS-L with >60,000 power bumps per die

48V to Point-of-Load Path

48V Rack Bus (OCP Open Rack V3)
↓
48V→6V IBC (Intermediate Bus Converter, switched-cap, 98% eff.)
↓
6V→0.75V Multi-Phase Buck (20-phase, 91% eff.)
↓
PCB → Package → Die PDN (<50mΩ total path)
Cable & connector challenges at 1200W: 16-pin 12VHPWR handles 600W at 12V (50A/pin). At 48V, the same 600W needs only 12.5A — enabling thinner cables and reducing I²R loss by 16×.
TOPIC

di/dt Management in ML Training Workloads

GEMM→communication switching, droop events, firmware mitigation

The di/dt Problem in ML Training

  • GEMM phase — all tensor cores active, ~100% utilization, peak current draw
  • Communication phase — NVLink/ICI all-reduce; tensor cores idle, current drops 40–60%
  • Transition — 500–1000A swing in <1 µs → massive Ldi/dt voltage droop
  • Droop magnitude: 50–100 mV for worst-case transitions
  • Occurs predictably at layer boundaries in transformer training
  • Frequency: every 100–500 µs during typical LLM training iterations
A 1000A swing in 500 ns with 50 pH effective PDN inductance produces V_droop = L × di/dt = 50 pH × 2×10&sup9; A/s = 100 mV droop — exceeding the entire noise budget.

Hardware Mitigation

  • On-die decoupling — eDTC + MOS caps provide charge reservoir for <50 ns events
  • Staggered clock gating — spread wake-up across 10–50 ns window
  • Current-step limiters — on-die circuits that limit max di/dt by throttling clock enables
  • Adaptive clocking — drooping clock tracks supply voltage, maintaining timing margins
  • PIVR/FIVR — fast VRM response (<1 µs) catches medium-duration droops

Firmware & Software Mitigation

  • Workload scheduling — overlap compute and communication to smooth transitions
  • DVFS pre-positioning — lower voltage before known idle → reduce droop magnitude
  • Droop predictor — ML model predicting upcoming di/dt events, pre-activating mitigations
  • Power throttling — firmware caps max current ramp rate during phase transitions
  • NVIDIA GPU firmware: dynamic power balancing across SMs to limit aggregate di/dt
TOPIC

Power Integrity Simulation & Signoff

static/dynamic IR drop tools, EM analysis, PDN extraction, workload co-simulation

Signoff Tool Landscape

ToolVendorCapability
VoltusCadenceStatic & dynamic IR drop, EM, multi-rail
RedHawkSynopsys (Ansys)Dynamic droop, thermal-aware IR, chip-pkg co-sim
TotemAnsysFull-chip EM/IR, power grid optimization
SIwaveAnsysPackage/PCB PDN extraction, S-parameter
SigrityCadencePackage/board PI, PDN impedance analysis

Analysis Flow

  1. Extract die power grid (RLC network, 10M+ nodes)
  2. Map switching activity from VCD or vectorless estimation
  3. Combine with package/PCB model (S-parameter or lumped RLC)
  4. Run transient simulation over representative workload window
  5. Report worst-case droop map, EM hotspots, voltage histogram

Workload-Driven Power Integrity

  • VCD-based — captures exact switching; 10–100 TB of data for full-chip AI accelerator
  • Vectorless — statistical estimation; faster but less accurate
  • Hybrid — VCD for critical blocks (tensor cores), vectorless for rest
  • ML workload models — abstract current waveforms for GEMM, conv, attention phases
  • Signoff corner: worst-case voltage at slowest process, highest T, max current

Modern Signoff Criteria

Max static IR drop<3–5% Vdd
Max dynamic droop<8–10% Vdd
EM lifetime target>10 years at T_j = 105°C
Bump current limit<150 mA/bump (C4), <30 mA (µbump)
Via current limitPer-layer EM spec from foundry PDK
Simulation nodes10M–100M for large AI dies
TOPIC

Power Delivery in Chiplet Architectures

per-chiplet regulation, interposer PDN, power gating coordination

Chiplet PDN Challenges

  • Multiple voltage domains — compute, IO, HBM PHY each need distinct Vdd
  • Cross-chiplet transients — one chiplet's di/dt couples through shared interposer PDN
  • Interposer IR drop — silicon interposer adds 5–20 mΩ series resistance per path
  • Power bump density — limited by µ-bump pitch (40–55 µm for CoWoS)
  • Independent DVFS — requires per-chiplet VRM or IVR with isolation

Per-Chiplet Voltage Regulation

  • Option A — board VRM per chiplet (separate power domain from PCB)
  • Option B — PIVR per chiplet (Intel Ponte Vecchio approach)
  • Option C — shared VRM + on-die LDO per chiplet (AMD MI300X)
  • Trade-off: board VRM is efficient but slow; on-die LDO is fast but wastes ~5–10%
  • Emerging: GaN-based package-integrated regulators for per-chiplet fast regulation

Power Gating Coordination

  • Inrush current — enabling a power-gated chiplet draws 50–200A in 100 ns
  • Sequencing — stagger chiplet wake-up to limit aggregate di/dt
  • Retention — state retention power gating keeps SRAM live at lower voltage
  • Protocol — chiplet power manager communicates with global power controller via sideband
  • AMD MI300X: 8 XCD + 4 IOD chiplets with coordinated power management

Interposer PDN Design

Interposer technologyTSMC CoWoS-S (Si), CoWoS-L (organic + Si bridge)
Power TSVs per chiplet5,000–15,000
Interposer metal layers3–4 (2 for power planes)
MIM cap on interposer10–50 nF/mm²
IR drop (interposer only)<10 mV at full load
Cross-coupling isolationSeparate power TSV arrays per domain
TOPIC

Case Studies — Power Delivery in Production AI Silicon

NVIDIA B200, AMD MI300X, Intel Ponte Vecchio, Apple M2 Ultra

Attribute NVIDIA B200 AMD MI300X Intel Ponte Vecchio Apple M2 Ultra
TDP 1000 W (B200) / 1400 W (B300) 750 W 600 W ~60 W (peak)
Die count 2 GPU dies + 8 HBM3E 8 XCD + 4 IOD + 8 HBM3 47 tiles (Xe-HPC) 2 M2 Max dies (UltraFusion)
Process TSMC N4P TSMC N5/N6 Intel 4 + TSMC N5 TSMC N5P
Packaging CoWoS-L 2.5D with active interposer EMIB + Foveros UltraFusion (CoW bridge)
Voltage regulation Board VRM (48V→Vcore) Board VRM + on-die LDO FIVR (per-tile) On-package PMIC + on-die LDO
On-die decap tech eDTC + MOS cap eDTC + MOS cap MOS cap (no eDTC) MOS cap
Peak current ~1600 A ~1000 A ~800 A ~80 A
PDN innovation 48V direct, massive decap Active interposer PDN FIVR across 47 tiles Ultra-low-power DVFS
di/dt mitigation FW power balancing Staggered CU wake Per-tile adaptive clocking Per-cluster LDO + DVFS
NVIDIA B200 represents the state of the art in brute-force PDN engineering: 48V input, 20+ phase VRM, CoWoS-L with 100k+ power bumps, eDTC Gen 2, and firmware-level current management. Total system PDN capacitance exceeds 15 mF.
Intel Ponte Vecchio is the most aggressive in voltage regulation integration: FIVR provides per-tile DVFS across 47 heterogeneous tiles, reducing guardband by ~40 mV and enabling 5–8% higher frequency than equivalent board-regulated design.
TOPIC

References & Further Reading

papers, standards, and resources for deeper study

Key Papers & Publications

  • M. Swaminathan & A.E. Engin, “Power Integrity Modeling and Design for Semiconductors and Systems”, Prentice Hall, 2007
  • L. Smith, R. Anderson, T. Roy, “Power Distribution System Design Methodology and Capacitor Selection for Modern CMOS Technology”, IEEE Trans. AP, 1999
  • N. Sturcken et al., “A Switched-Inductor Integrated Voltage Regulator with Nonlinear Feedback”, IEEE JSSC, 2012
  • E. Burton et al., “FIVR — Fully Integrated Voltage Regulators on 4th Gen Intel Core SoCs”, IEEE APEC, 2014
  • TSMC, “eDTC: Deep Trench Capacitor for Advanced PDN”, IEDM 2022

Industry Standards

  • OCP Open Rack V3 — 48V rack power distribution specification
  • PCI-SIG CEM 5.0 — 12VHPWR connector (600W) specification
  • JEDEC JEP-148 — Electromigration reliability qualification guidelines
  • IEEE 1801 (UPF) — Unified Power Format for power intent specification
  • JEDEC JESD51 — Thermal measurement standards for semiconductor packages

Conference Venues

  • IEEE ECTC — Electronic Components and Technology Conference (packaging & PDN)
  • IEEE IEDM — International Electron Devices Meeting (eDTC, BSPDN process)
  • IEEE ISSCC — International Solid-State Circuits Conference (IVR, LDO design)
  • IEEE APEC — Applied Power Electronics Conference (VRM, power conversion)
  • DesignCon — Signal & power integrity, PDN measurement techniques
  • Hot Chips — AI accelerator architecture & power delivery overviews

EDA & Simulation Resources

  • Cadence Voltus / Sigrity — die + package power integrity co-simulation
  • Synopsys RedHawk / PrimeRail — EM/IR signoff, adaptive voltage analysis
  • Ansys SIwave / HFSS — 3D EM extraction for package PDN
  • Keysight ADS / PathWave — board-level PDN simulation & measurement
  • Open-source: OpenROAD — IR drop analysis in open-source EDA flow
Next in the series: Presentation 10 — exploring thermal management and cooling architectures for high-power AI silicon.