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
| Stage | Z_typ | Frequency Range | Key Elements |
| VRM | <1 mΩ | DC – 100 kHz | Output filter LC |
| PCB | 0.5–2 mΩ | 100 kHz – 10 MHz | Bulk + MLCC caps |
| Package | 1–5 mΩ | 10–200 MHz | Pkg caps, TSVs |
| On-die | <1 mΩ | >200 MHz | MOS 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
| Regime | Freq | Dominant Elements |
| VRM loop | DC – 50 kHz | VRM feedback + output caps |
| PCB resonance | 50 kHz – 5 MHz | Bulk + MLCC bank |
| Package cavity | 5–200 MHz | Pkg caps + substrate planes |
| On-die network | 200 MHz – 2 GHz | On-die decap + grid R/L |
| On-die local | >2 GHz | Local 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 Type | Capacitance | ESR | ESL | f_res | Location | Role |
| Bulk electrolytic | 100–1000 µF | 5–50 mΩ |
5–20 nH | 50–200 kHz | PCB near VRM | Energy reservoir, VRM decoupling |
| MLCC (0402/0201) | 100 nF – 22 µF | 2–10 mΩ |
200–800 pH | 2–30 MHz | PCB under socket | Mid-frequency decoupling |
| Package MIM caps | 10–200 nF | 10–50 mΩ |
30–100 pH | 50–500 MHz | Package substrate | Package resonance suppression |
| On-die MOS cap | 50–200 nF | 1–5 mΩ |
<10 pH | >1 GHz | Die (filler cells) | High-freq local decoupling |
| eDTC (deep trench) | 100–500 nF | <2 mΩ |
<5 pH | >2 GHz | Die (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
| Metric | Board VRM | PIVR (FIVR) | On-Die LDO |
| Efficiency | 90–95% | 85–90% | 85–93% |
| Transient (ns) | 10,000–50,000 | 100–1,000 | 1–50 |
| Guardband saved | baseline | 30–50 mV | 50–80 mV |
| Die area cost | 0% | 2–4% | 3–8% |
| Granularity | 1–2 rails | 4–16 domains | 100s 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
| Generation | Node | Density | ESL | Status |
| Gen 1 | N5/N4 | ~250 nF/mm² | <5 pH | Production |
| Gen 2 | N3E | ~350 nF/mm² | <3 pH | Production |
| Gen 3 | N2 | ~500 nF/mm² | <2 pH | Development |
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
| Tool | Vendor | Capability |
| Voltus | Cadence | Static & dynamic IR drop, EM, multi-rail |
| RedHawk | Synopsys (Ansys) | Dynamic droop, thermal-aware IR, chip-pkg co-sim |
| Totem | Ansys | Full-chip EM/IR, power grid optimization |
| SIwave | Ansys | Package/PCB PDN extraction, S-parameter |
| Sigrity | Cadence | Package/board PI, PDN impedance analysis |
Analysis Flow
- Extract die power grid (RLC network, 10M+ nodes)
- Map switching activity from VCD or vectorless estimation
- Combine with package/PCB model (S-parameter or lumped RLC)
- Run transient simulation over representative workload window
- 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.