AI Server System BOM & Rack Cost

Name: AI Server System BOM & Rack Cost
Creator: Silicon Analysts

Full system-level bill of materials for AI training servers — from DGX H100 (8-GPU) through GB200 NVL72 (72-GPU rack).

Coverage window: DGX H100 (2023) → GB200 NVL72 (2024) (8 rows)
Computed from the backing series at page-render time — never typed by hand.
History honesty: Observations recorded as published; no archive backfill flag on this series.
Cadence: Weekly — cost models recompute when inputs move (Monday refresh fleet, 11:00–12:30 UTC); values are stable between input changes.
Revision policy: Points change only through staged updates (market_data_staged_updates) with an audit log; the Pro export carries X-Corrections-Count.
Sources (source_name): Silicon Analysts estimate (2) · Epoch.ai / NVIDIA DGX spec (1) · SemiAnalysis (1) · Data center analyst estimates (1) · Silicon Analysts / chipSpecs.ts (1) · SemiAnalysis rack cost analysis (1) · NVIDIA NVL72 spec / Silicon Analysts (1)
Known gaps: Known-gaps review pending — the coverage boundaries above are computed and current, but the curator’s qualitative gaps assessment has not been written yet. We state that rather than inventing one.
Access: Free API key
API: /api/v1/market-data/ai-server-system-bom
Machine-readable: /api/v1/catalog/ai-server-system-bom/contract