SemiAnalysis Models

Latest across your models

The AI buildout, quantified.

Fourteen institutional models covering compute end to end: accelerator shipments, cluster networking, cloud economics, datacenters, power, and the silicon that feeds them all. Built from the supply chain up, and reconciled against each other.

AI Infrastructure

3 models

AI InfrastructureDemand & installed base

Accelerator & HBM Model

Bottom-up demand forecast for AI accelerators and high-bandwidth memory across Nvidia, AMD, Google, AWS, Meta, Microsoft, Intel, and every major Chinese hyperscaler, with customer-level shipments and installed base for 60+ accounts.

Demand forecast Capacity planning Institutional

Hyperscalers, semiconductor companies, public & private investors

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AI Networking Model

Cluster networking

Quantitative model of AI cluster networking spend: switches, transceivers, AECs, and DACs across scale-up, scale-out, and front-end networks, with vendor market share and next-generation optical interconnects.

Spend forecast Cluster architecture Institutional

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Memory Model

DRAM & NAND

DRAM and NAND cycle tracker: wafer capacity, bit supply, HBM pricing, inventory levels, and node transition timelines, covering Samsung, SK hynix, and Micron with fab-level output.

Cycle tracker Pricing risk Institutional

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Finance

3 models

FinanceCost of ownership

AI Cloud TCO Model

Comprehensive total cost of ownership for AI clouds: GPU rental economics, residual value curves, three-statement financials for every major cloud operator, and training and inference cost per token.

Cost model Infrastructure ROI Institutional

Cloud operators, investors & finance teams

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Space DC TCO Model

Orbital compute

Scenario-based total cost model for orbital compute: launch economics, thermal rejection, GPU-level TCO, and cost crossover against terrestrial datacenters through 2050.

Scenario model Emerging deployments Institutional

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Tokenomics Model

Serving economics

Unit economics engine for AI serving: bottoms-up token throughput, ROI on AI spend, and demand-side translation of revenue into future accelerator demand by hyperscaler, lab, and neocloud.

Unit economics Inference strategy Institutional

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Datacenter

3 models

DatacenterCapacity & power

Datacenter Industry Model

Global datacenter capacity tracker covering 5,000+ facilities: hyperscaler buildouts, colocation markets, power constraints, and regional deployment trends through 2030, with per-campus power draw, lease structures, and planned versus operational capacity.

Capacity model Site strategy Institutional

Infrastructure, energy, investors

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Energy Model

Grid demand

Translates AI datacenter buildout into power infrastructure demand: utility-level supply and demand gaps, generator inventory, renewable PPAs, gas turbine lead times, and where the grid will fall short.

Power forecast Energy planning Institutional

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Industrials Model

Supply-chain map

Datacenter supply-chain map: 500+ suppliers, top-down TAM, capex per megawatt, and bottom-up revenue build across power, cooling, and facilities, from switchgear and transformers to liquid cooling loops.

Supply-chain map End-market exposure Institutional

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Semiconductor Supply Chain

4 models

Semiconductor Supply ChainEquipment sales

Wafer Fab Equipment Model

Bottoms-up forecast of semiconductor equipment sales: lithography, deposition, etch, and metrology, broken down by chipmaker, node, and vendor, tracking ASML, Applied Materials, Lam, KLA, and Tokyo Electron with fab-level tool install projections.

Equipment demand Capex exposure Institutional

Investors & supply chain teams

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Foundry Industry Model

Wafer economics

Competitive capacity model covering TSMC, Samsung, Intel Foundry, SMIC, and emerging players: wafer shipments, ASPs, utilization, and node mix through 2030.

Capacity model Foundry strategy Institutional

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ChipBook

Industry tracker

Monthly AI and semiconductor industry tracker: 125+ datasets covering the full value chain. Core industry trackers, memory trackers, and hand-picked timely datasets distilled from our proprietary models.

PDF + Excel dataset Idea generation

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VR NVL72 Component BoM & Power Model

Platform BoM

System-level bill of materials and integrated power view for the NVL72 platform: compute modules, NVLink switching, tray infrastructure, thermal and cooling, PCB and substrate, and power delivery.

BoM + power budget NVL72 supply chain

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Core Research

Three configurations · fourth coming soon

Core ResearchResearch subscription

Core Research

Institutional research tracking the inflections that move the AI and semiconductor stack, from packaging and memory to power, networking, and model economics, with clear reads on who wins and who loses. Available in three configurations, with a fourth on the way.

Research reports Strategic positioning Institutional

Institutional teams across investing, semiconductors & AI infrastructure

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