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AI Accelerator Manufacturing Cost Estimates (2026)

As of February 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.

ChipVendorProcessDie SizeLogic CostHBM CostPackagingTotal Mfg CostSell PriceMargin
H100 SXM5NVIDIATSMC 4N814mm²$300Wafer + yield cost for H100 SXM5 logic die$1,350HBM memory stack cost for H100 SXM5$750CoWoS / advanced packaging cost for H100 SXM5$3,320Total BOM manufacturing cost for H100 SXM5$28,000Average selling price for H100 SXM588%Gross margin: (sell price - mfg cost) / sell price
H200 SXM5NVIDIATSMC 4N814mm²$300Wafer + yield cost for H200 SXM5 logic die$1,500HBM memory stack cost for H200 SXM5$750CoWoS / advanced packaging cost for H200 SXM5$4,250Total BOM manufacturing cost for H200 SXM5$38,000Average selling price for H200 SXM589%Gross margin: (sell price - mfg cost) / sell price
B200NVIDIATSMC 4NP2×800mm²$850Wafer + yield cost for B200 logic die$2,900HBM memory stack cost for B200$1,100CoWoS / advanced packaging cost for B200$6,400Total BOM manufacturing cost for B200$40,000Average selling price for B20084%Gross margin: (sell price - mfg cost) / sell price
GB200NVIDIATSMC 4NPGrace+2×B200$1,700Wafer + yield cost for GB200 logic die$5,800HBM memory stack cost for GB200$2,200CoWoS / advanced packaging cost for GB200$13,500Total BOM manufacturing cost for GB200$65,000Average selling price for GB20079%Gross margin: (sell price - mfg cost) / sell price
MI300XAMDTSMC N5/N61,725mm² (chiplet)$600Wafer + yield cost for MI300X logic die$2,900HBM memory stack cost for MI300X$1,200CoWoS / advanced packaging cost for MI300X$5,300Total BOM manufacturing cost for MI300X$15,000Average selling price for MI300X65%Gross margin: (sell price - mfg cost) / sell price
MI325XAMDTSMC N5/N61,725mm² (chiplet)$600Wafer + yield cost for MI325X logic die$2,200HBM memory stack cost for MI325X$500CoWoS / advanced packaging cost for MI325X$3,800Total BOM manufacturing cost for MI325X$20,000Average selling price for MI325X81%Gross margin: (sell price - mfg cost) / sell price
Gaudi2IntelTSMC 7nm$700Wafer + yield cost for Gaudi2 logic die$960HBM memory stack cost for Gaudi2$500CoWoS / advanced packaging cost for Gaudi2$2,500Total BOM manufacturing cost for Gaudi2$12,000Average selling price for Gaudi279%Gross margin: (sell price - mfg cost) / sell price
Gaudi3IntelTSMC 5nm$1,500Wafer + yield cost for Gaudi3 logic die$1,950HBM memory stack cost for Gaudi3$1,200CoWoS / advanced packaging cost for Gaudi3$6,500Total BOM manufacturing cost for Gaudi3$15,625Average selling price for Gaudi358%Gross margin: (sell price - mfg cost) / sell price

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

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: