FabDashboard is a structured intelligence platform designed to help analysts, operators, researchers, and strategists understand the physical infrastructure that makes modern AI possible — the fabs, chips, packaging technologies, datacenters, and supply chains that underpin the AI revolution.
The AI race is not just a software race. Behind every frontier model is a physical infrastructure stack — leading-edge silicon fabricated in Taiwan, advanced packaging done by a handful of specialized providers, HBM memory from three suppliers, and data centers constrained by power grids.
FabDashboard exists to make this infrastructure legible. We track the supply chain, model the bottlenecks, map the dependencies, and surface the strategic risks — so that decision-makers can understand the physical world behind AI.
Leading-edge and legacy fab locations, status, capacity, and operator by region.
Technology node generations, yields, production timelines, and foundry roadmaps.
GPU, TPU, and custom AI accelerator specifications, packaging, and deployment status.
CoWoS, SoIC, HBM integration, EMIB, Foveros — the critical interconnect layer.
Hyperscale and AI cluster deployments, geographic concentration, power demand.
Dependency graph between chips, fabs, packaging, and cloud deployments.
Geographic concentration, supplier concentration, geopolitical exposure analysis.
Controlled scenario analysis of how supply chain changes propagate downstream.
Regional grid capacity, AI cluster energy demand, and power availability constraints.
Curated semiconductor events and developments with source attribution and confidence scoring.
Track semiconductor supply constraints, bottleneck evolution, and allocation dynamics.
Understand chip availability, packaging timelines, and datacenter planning constraints.
Map the interdependencies of the AI hardware ecosystem with structured data.
Analyze geographic concentration risk, CHIPS Act impact, and geopolitical exposure.
Understand structural constraints, scenario risks, and infrastructure leverage.
Reference structured intelligence on AI hardware supply chains.
FabDashboard is designed around transparency about what is known, estimated, and speculative. Every data point carries a confidence level. Every intelligence item carries provenance. Every scenario is labeled as analytical modeling — not prediction.
All data currently shown is illustrative demo data sourced from public announcements, earnings reports, and analyst estimates — approximated for demonstration purposes. Nothing on FabDashboard constitutes investment advice or financial guidance.
We publish our full methodology, confidence framework, and source standards openly. Understanding how we classify intelligence is as important as the intelligence itself.