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Silicon Index — daily GPU price benchmarks

GPU Rental Price Indices — Daily Benchmarks Across the AI Compute Market

Silicon Indices give financial institutions, AI companies, and infrastructure providers a transparent, independent view of what GPU capacity actually costs — updated every day, across neo-clouds and hyperscalers.

  • 95% of neo-cloud GPU providers
  • 100% of major hyperscalers
  • Daily via API & partners
Getting Started
Silicon Index dashboard — daily GPU rental price indices across models, tokens, and memory

Raw Data to Benchmark

Methodology

Every GPU rental record is first converted to a standardized per-hour, per-GPU rate — unit price equals total rental price divided by the number of GPUs times duration. Preprocessed data then undergoes multi-stage filtering to remove reporting errors without ignoring genuine structural price movements. Because simply aggregating prices would fluctuate with the daily mix of configurations, a basis adjustment standardizes each record to a benchmark-equivalent contract, accounting for rental type, geography, CPU platform, and GPU variant. Basis-adjusted prices are aggregated at the provider level, and the final index value is a weighted average across providers.

Coverage across the GPU rental market

The Silicon Index coverage network spans the full rental supply chain — from large neo-cloud operators to every major hyperscaler.

95%
Neo-cloud GPU providers tracked
100%
Major hyperscalers covered
80%
Of the available global rental market

Frequently asked questions

  • The Silicon GPU rental price index is a family of daily benchmarks tracking hourly rental prices for specific GPU models across the full rental market. Each index represents a standardized, like-for-like price drawn from neo-cloud providers, hyperscalers, colocation markets, and private rental platforms.

  • Every index is processed and published once per business day, reflecting the latest captured rental and transaction data.

  • Today the family covers H100, A100, B200, and MI300X rental price indices, plus the LLM Token Expenditure Index — with more models added as coverage expands.

  • Neo-cloud and marketplace capacity typically prices below hyperscaler on-demand rates. H100 and A100 are tracked across both segments, with each reading published separately so you can see the spread and how it moves.

  • Via the Silicon Data portal, direct API (e.g. ticker SDH100RT), and distribution partners including Kaiko.

  • We aggregate real-time rental and private transaction data across neo-cloud providers, hyperscalers, colocation markets, and private rental platforms, then standardize it into a like-for-like benchmark.

Get access to Silicon Data

Full access to every Silicon Index, the complete portal, and historical pricing — distributed via web and API.

Silicon Data Portal Access

7-day trial

Daily GPU and LLM market intelligence, built for institutional use.

  • Silicon Index™ Dashboard — all GPU, CPU & accelerator indices
  • Market direction tracking
  • PriceIQ predictive modeling
  • Daily index values & 90-day historical pricing
  • NeoCloud vs Hyperscaler comparison
  • SiliconCarbon™
Getting Started