Market benchmarks
Observable GPU pricing across providers, categories, regions and commercial models.
GPU Market Intelligence
Intelligence for GPU infrastructure.
Thia Signals turns fragmented GPU-as-a-Service data into consistent benchmarks for pricing, supply and market direction.
GPU Market Intelligence
Measure the market.
See what is changing.
We transform fragmented GPU-as-a-Service data into a consistent view of pricing, supply and market direction.
Supply & location
GPU availability and the geographic distribution of observable capacity.
Forward outlook
Signals for rental prices, availability and changing market conditions.
02 · GPU as an asset
Compute Asset Economics
Observed rental benchmarks, availability, gross yields, energy exposure and implied valuation across GPU infrastructure assets.
Explore asset economics →GPU ASSET FRAMEWORK
Market Rent→Asset Value
From observable market signals to capital intelligence
Who it’s for
Independent pricing data for decisions across GPU infrastructure.
Observable GPU-as-a-Service benchmarks for organisations pricing, analysing and financing GPU infrastructure.
For GPU cloud providers & neoclouds
Position pricing against an independent view of the observable market.
01
Benchmark on-demand pricing
Compare observed hourly prices across GPU families, variants and providers.
02
Review market dispersion
Measure provider price ranges, spreads and variation within comparable GPU categories.
03
Track pricing over time
Follow daily benchmark movements and changes in observable provider coverage.
For analysts & market professionals
Follow pricing signals across the GPU-as-a-Service market.
01
Analyse price trends
Track daily movements in observed on-demand GPU rental prices.
02
Compare GPU categories
Examine benchmarks across GPU families and identified hardware variants.
03
Assess benchmark coverage
Review provider participation, observation counts and confidence indicators alongside each benchmark.
For lenders & infrastructure investors
Ground GPU rental assumptions in observable market pricing.
01
Benchmark rental assumptions
Use observed hourly prices to support revenue scenarios for GPU infrastructure.
02
Compare pricing evidence
Review provider averages, ranges and dispersion across comparable GPU categories.
03
Monitor market movement
Track changes in observable pricing and provider coverage throughout the review period.
For data centre & infrastructure teams
Understand where observable GPU supply is developing.
01
Compare regional availability
Track observable GPU offers across global macroregions and GPU models.
02
Assess capacity signals
Compare estimated configuration capacity ranges by GPU model and region.
03
Monitor regional concentration
Follow changes in each region’s share of observable GPU-as-a-Service supply.
Independent intelligence