AI Accelerator Manufacturing Cost Estimates (2026)

As of August 2026, manufacturing costs for leading AI accelerators range from ~$3,320 for the NVIDIA H100 to ~$13,000+ for the GB200 superchip. HBM memory and advanced packaging now account for 60-70% of total BOM cost.

Last updated: · Data sources: Epoch AI, Raymond James, TrendForce, SemiAnalysis · JSON API ·

Manufacturing Cost Comparison

Estimated bill-of-materials (BOM) manufacturing costs for 8 leading AI accelerators. All figures are per-unit estimates excluding non-recurring engineering (NRE) costs.

Manufacturing cost breakdown by accelerator

Logic die + HBM memory + advanced packaging. HBM + packaging dominate BOM on the newest parts.

ChipVendorProcessDie SizeLogic CostHBM CostPackagingTotal Mfg CostSell PriceMargin
H100 SXM5NVIDIATSMC 4N814mm²$300$1,350$750$3,320$28,00088%
H200 SXM5NVIDIATSMC 4N814mm²$300$1,500$750$4,250$38,00089%
B200NVIDIATSMC 4NP2×800mm²$850$2,900$1,100$6,400$40,00084%
GB200NVIDIATSMC 4NPGrace+2×B200$1,700$5,800$2,200$13,500$65,00079%
MI300XAMDTSMC N5/N61,725mm² (chiplet)$600$2,900$1,200$5,300$15,00065%
MI325XAMDTSMC N5/N61,725mm² (chiplet)$600$2,200$500$3,800$20,00081%
Gaudi2IntelTSMC 7nm$700$960$500$2,500$12,00079%
Gaudi3IntelTSMC 5nm$1,500$1,950$1,200$6,500$15,62558%

All costs are estimates based on industry consensus data. Actual costs vary by volume, contract terms, yield, and market conditions.

H100 SXM5 est. mfg cost & sell price — daily ledger

Daily ledger; history began 2026-06-06 (per-domain start may be later). Append-only — cannot be backfilled.

H100 SXM secondary-market price — residual value tracker

Median used-market price per GPU across independent public sources (sold-listing roundups, broker pages, trade press). The ledger also records the low/high band and a derived residual value (median ÷ launch price) — weekly, measured, not assumed.

Cost Structure Analysis

1. HBM memory is now the dominant cost component

Across all chips in the table, HBM memory represents 35-47% of total manufacturing cost. For the GB200 superchip, HBM alone costs $4,800 per unit -- more than the entire manufacturing cost of an H100. The shift from HBM3 ($200/stack) to HBM3E ($300/stack) further amplifies this trend, with next-generation chips requiring 8-12 stacks each.

2. Advanced packaging adds $300-$2,000 per chip

CoWoS-S and CoWoS-L interposer packaging is the third-largest cost element after HBM and logic dies. Multi-die designs like the B200 (two Blackwell dies on a single CoWoS-L substrate) and GB200 (Grace CPU + two B200 GPUs) push packaging costs to $1,000-$2,000 per unit. TSMC CoWoS capacity remains supply-constrained with 40-52 week lead times.

3. NVIDIA maintains significantly higher margins than AMD

NVIDIA chips command 80-88% gross margins compared to AMD's 65-70%. This margin gap reflects NVIDIA's CUDA software ecosystem lock-in, stronger enterprise demand, and first-mover advantage in data center AI. Intel's Gaudi line achieves 82-83% margins at lower absolute price points, targeting a different market segment.

Methodology & Data Sources

Cost estimates on this page are derived from multiple independent sources and cross-validated where possible:

  • Epoch AI -- Monte Carlo cost models for semiconductor manufacturing, covering wafer cost, yield, and packaging economics
  • Raymond James -- Semiconductor equity research with bottom-up BOM cost analysis for NVIDIA and AMD accelerators
  • TrendForce -- Quarterly foundry pricing reports and HBM supply/demand tracking
  • SemiAnalysis -- Teardown analysis and cost modeling for AI accelerator products

Estimates are directional and may vary +/-15-20% from actual manufacturing costs. Logic die costs are calculated from wafer price, die area, and estimated yield. HBM costs use per-stack pricing multiplied by stack count. Packaging costs include interposer, substrate, and assembly. For full terms see Terms & Data Provenance.

Related Tools

Use our interactive tools to model custom chip cost scenarios and compare accelerators:

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