AI Sparks a Revolution in Power Architecture: Who Will Be the Biggest Winner in the 800VDC Wave?
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The exponential growth in AI computing power density is triggering a historic overhaul of data center electric infrastructure. Rack power demand is expected to leap nearly a hundredfold within a decade, forcing a comprehensive renewal of the entire power supply and distribution system from grid entry to chip core, thereby opening up a $27 billion long-term incremental market for the analog semiconductor industry.
According to a May 25th deep report on the semiconductor industry issued by BofA Securities, the evolution of AI computing power will drive data center rack power from traditional server levels of 10–15 kW to the NVIDIA Feynman platform (expected to launch in 2029/2030) exceeding 1.5 MW, a near hundredfold increase.
The existing power supply and distribution architecture centered on 54V DC is reaching its physical limits—copper busbar weight, spatial occupation, and conversion losses cannot support next-generation power demands. A new architecture based on 800V DC (800VDC) is becoming the inevitable industry choice. The bank expects that 800VDC will first enter commercial deployment alongside the NVIDIA Rubin Ultra platform (rack power over 600 kW).

This structural transformation brings unprecedented incremental opportunities for analog semiconductor suppliers. BofA Securities’ bottom-up industry demand model shows that the addressable AI analog semiconductor market will expand from $7.9 billion in 2025 to $27 billion in 2030, with a CAGR of 28%. The content value per rack for analog semiconductors will leap from about $36,000 now to nearly $300,000 for racks above 600 kW, and over $900,000 for megawatt-class racks.

BofA Securities believes that the final beneficiary pattern will be highly concentrated among vendors with broad "full power tree" portfolios. Texas Instruments continues to lead with the highest existing share, Infineon stands out for the breadth of its AI product portfolio and sees the most significant share increase from 2025 to 2030, Analog Devices ranks third and is backed by the Empower acquisition, and onsemi achieves considerable wallet share expansion through new SiC and GaN material technologies.
Hundredfold Power Leap, Existing Architecture Hits Physical Limits
Every architectural upgrade of AI infrastructure comes at the cost of a substantial leap in rack power.
According to BofA Securities research, rack power in the NVIDIA Hopper H100 era was only about 32 kW, jumping to 100–120 kW in the Blackwell GB200 NVL72, the upcoming Rubin Ultra (NVL576 configuration) is expected to exceed 646 kW, and the Feynman platform is forecast to break through 1.5 MW.
The fundamental driver of exploding power demand is the continued expansion of the GPU scale-up domain. GPUs communicate rapidly via copper interconnects—signal attenuation limits physical distance, so GPUs must be densely packed within the same rack. As the number of GPUs per node expands from 32 in the Hopper era to 576+ in the Feynman era, each generation’s thermal design power (TDP) increases by about 20% on average, resulting in a multiplied overall rack power. This “performance density trap” is the core logic driving ongoing increases in NVIDIA platform power.
The same trend is spreading to non-NVIDIA camps.
AMD Helios platform’s rack power has exceeded 100 kW, and Google, AWS, and other self-developed ASIC platforms show similar trajectories. BofA Securities forecasts that from 2025 to 2030, AI-related data centers will cumulatively add 233 GW of installed power, with annual additions rising from about 17 GW in 2025 to about 60 GW in 2030.
The current power supply and distribution architecture centered on 54V or 48V DC faces three structural constraints: For a single 600 kW rack, using 54V distribution would result in copper busbar weight of up to 200 kg and massive space occupation; multi-stage AC/DC conversion causes efficiency loss of about 1–2% at each stage; redundant conversion stages add system failure points. BofA Securities notes that this architecture can no longer support the scale deployment of next-generation computing platforms.
800VDC: Systemic Solution to the Power Supply Bottleneck
The 800VDC architecture fundamentally restructures traditional power distribution flows. Medium voltage AC is converted directly to 800V DC at the data center campus entrance, skipping multiple intermediate conversion stages. High voltage DC is transmitted along row-level PDUs/busbars to the rack, and then through intermediate bus converters (IBC) is step-down converted to the sub-1V working voltage needed by the GPU core.

Compared to 54V solutions, the 800VDC architecture offers advantages on many fronts: power transmission capacity for the same wire cross-section increases by about 85%, copper material usage can be reduced by about 45%; system-wide energy efficiency improves by up to 5 percentage points; maintenance cost decreases by up to 70% due to lower PSU failure rates; total ownership cost (TCO) may improve by about 30%. According to data cited by BofA Securities from NVIDIA, 800VDC supports future rack density expansion to 1 MW or even higher, with strong forward compatibility.

BofA Securities points out that 800VDC deployment will proceed in stages. The first phase is “white space retrofits”, shifting AC/DC conversion to independent power sidecars to reduce IT rack complexity; the second phase is “hybrid distribution”, where facility-level rectifiers uniformly supply 800V DC to racks; the final stage is a “DC microgrid” architecture centered on solid-state transformers (SST) and solid-state circuit breakers (SSCB), expected to first appear in greenfield projects in 2028–2030. NVIDIA Rubin Ultra's supporting Kyber rack is seen as a key milestone for the first large-scale commercial deployment of 800VDC.
Data Center: $25 Billion Content Value Reassessment
Architecture upgrades bring not just market expansion but also profound migration of value distribution. BofA Securities breaks down the AI analog semiconductor market into two categories: “data center” (rack to chip) and “power infrastructure” (grid to data room), each with distinct growth logic.
TAM on the data center side is expected to rise from $7.6 billion in 2025 to $25 billion in 2030, with 2026/2027 growth rates of around 56% and 77%, mainly driven by accelerated high-power rack volume.
The most significant content value uplift is in subcategories like: high-voltage intermediate bus converters (IBC, TAM share rising from 7% to about 15%), GPU board-level power (steadily occupying around 25–27%), CPU compound power (share rising from about 9% to 13%), and optical infrastructure (around 13%).
IBC is one of the components with the most dramatic value restructuring in the 800VDC-driven change.
As racks upgrade from 100–160 kW to 600 kW and megawatt-class, IBCs are responsible for stepping down voltage from 800V high-voltage to 54V, 12V, or even 6V, with market size expected to leap from about $566 million in 2025 to $3.6 billion in 2030, up more than sixfold. GPU board-level power (including multiphase VRMs and vertical power designs) content value expands from about $9,700 for 100–160 kW racks to about $270,000 for megawatt-class racks.

ADI’s acquisition of Empower is a reflection of this trend—Empower has integrated voltage regulator and silicon capacitor technologies, enabling conversion functions near the processor package, directly tapping into the most valuable "last inch" power slot.
Device Types: Wide Bandgap Materials Accelerate Penetration
At the materials level, BofA Securities predicts a clear path from silicon-dominated to fast wide bandgap semiconductor penetration.
Analog ICs currently account for about 66% of AI analog semiconductor TAM and will remain the largest segment in 2030, with absolute size growing to about $15.9 billion. But SiC and GaN will be the fastest-growing device types, with CAGRs of 63% and 69% from 2025 to 2030, their combined TAM share rising from about 4% to about 12%.
In high-voltage environments, SiC dominates IBC high-voltage input stages, PSU power factor correction (PFC), and solid-state transformers; GaN excels in dense DC/DC conversion scenario near compute, and BofA Securities expects GaN to become the leading material for high-power rack IBCs. onsemi's vertical GaN (vGaN)—vertical conducting structures on native GaN substrate—combines SiC voltage robustness with GaN high-frequency switching, seen as a potential breakthrough for IBCs.

Silicon devices retain dominance in cost-sensitive scenarios like low-voltage secondary rectification and VRM control/drives, but high added value incremental share will lean toward wide bandgap materials. MCU and sensor TAM share will steadily rise along with distributed power orchestration needs and real-time monitoring for megawatt-class racks.
Vendor Landscape: Infineon Sees Most Significant Share Leap
BofA Securities’ bottom-up revenue model breaks down eight major suppliers in detail, showing clear differentiation.
Texas Instruments (TXN) leads with its power semiconductor portfolio, expected to grow AI-related revenue from about $1.55 billion in 2025 to about $5.7 billion in 2030, maintaining a market share of about 20–21%.
Infineon, with the broadest AI product matrix covering silicon, SiC, and GaN, is expected to jump market share from about 11.5% in 2025 to about 17.3% in 2030, growing revenue from about $900 million to about $4.6 billion, the most significant increase in TAM share.
ADI ranks third, market share rising from about 13% to 17%, reaching $4.4 billion in AI revenue by 2030. The Empower acquisition further strengthens its position in high-value “last inch” power slot near processor packages. onsemi (ON) rises from about 3.8% to 8.6%, the second-largest gain behind Infineon, primarily driven by SiC and vGaN penetration in high-power IBCs and solid-state protection scenarios.
BofA Securities emphasizes that the ultimate winners share these traits: (1) Broad product portfolio covering the full power tree, not just single-point supply; (2) Ability to meet elite reliability requirements in high-voltage scenarios; (3) Capable of system-level design support from grid to chip, maintaining deep ties with ecosystem leaders like NVIDIA.
Power Infrastructure: Solid-State Technology Opens Additional $2 Billion Opportunity
Data center reshaping of power infrastructure is equally profound, but this market usually appears in the industrial or infrastructure segment of relevant suppliers, not the data center segment.
BofA Securities expects strategic power infrastructure analog semiconductor TAM to grow from about $245 million in 2025 to $1.8 billion in 2030, with a CAGR of 49% and an inflection point around 2028. Currently, each megawatt corresponds to content value of about $12,400, which can grow to about $38,900 as hybrid microgrid architectures roll out.
Solid-state transformers (SST) are the core of this upgrade. Compared to traditional low-frequency transformers, SSTs are about 14 times smaller, 40 times lighter, construction cycle is about 50% shorter, and can directly convert medium voltage AC to 800VDC, greatly simplifying downstream power distribution chains.
Traditional transformers contain almost no analog semiconductors, while SSTs are composed of high-voltage power devices, gate drivers, isolation, current and voltage sensors, controllers, protection and digital control modules, with SiC as the preferred device material. Infineon expects overall SST market size to reach $1 billion by 2030; BofA Securities estimates analog semiconductor opportunity at about $500 million, with the real commercial deployment inflection point between 2028 and 2030.
Solid-state circuit breakers (SSCB) are the key to safety and reliability in high-voltage DC distribution at 800VDC. Compared to traditional mechanical breakers, SSCBs can isolate faults in nanoseconds to microseconds, with real-time monitoring and remote control, highly compatible with SiC device voltage range. BofA Securities estimates SSCB analog semiconductor opportunity at about $400 million by 2030. Infineon and onsemi are competitive here via their SiC JFET to MOSFET product lines.
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