FluidStack vs Vast.ai: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for FluidStack and Vast.ai. Updated July 2026.
Provider Overview
Strengths & Best For
FluidStack aggregates H100, A100, and consumer GPU capacity from data centers across the US and EU, offering competitive bulk pricing and flexible contracts for AI training and LLM fine-tuning workloads. Spot GPU rental is available alongside on-demand and reserved options, making it a cost-effective choice for teams with variable compute needs. A strong pick for EU-based teams wanting broad GPU availability without committing to a single provider.
- Competitive pricing
- EU/US coverage
- Spot availability
- Flexible contracts
Vast.ai is a peer-to-peer GPU marketplace listing 10,000+ GPUs — including H100, A100, and RTX 4090 — from hosts worldwide, consistently offering some of the lowest spot GPU rental prices available anywhere. Both on-demand and bid-based spot pricing are available, enabling researchers and developers to run LLM fine-tuning, image generation, and batch AI workloads at a fraction of traditional cloud costs. The largest and most price-competitive GPU marketplace for budget-conscious AI teams.
- Lowest spot prices
- Wide GPU variety
- Bid-based pricing
- Large host network
Live GPU Pricing
Region Coverage
Popular Comparisons
FluidStack — specialist provider
FluidStack aggregates H100, A100, and consumer GPU capacity from data centers across the US and EU, offering competitive bulk pricing and flexible contracts for AI training and LLM fine-tuning workloads. Spot GPU rental is available alongside on-demand and reserved options, making it a cost-effective choice for teams with variable compute needs. A strong pick for EU-based teams wanting broad GPU availability without committing to a single provider.
Vast.ai — marketplace provider
Vast.ai is a peer-to-peer GPU marketplace listing 10,000+ GPUs — including H100, A100, and RTX 4090 — from hosts worldwide, consistently offering some of the lowest spot GPU rental prices available anywhere. Both on-demand and bid-based spot pricing are available, enabling researchers and developers to run LLM fine-tuning, image generation, and batch AI workloads at a fraction of traditional cloud costs. The largest and most price-competitive GPU marketplace for budget-conscious AI teams.
Billing model comparison
FluidStack uses a On-demand, Spot, Reserved billing model with a minimum commitment of None. Vast.ai uses On-demand, Spot (bid-based) billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
FluidStack is best suited for: Cost-sensitive training, EU-based teams, Flexible workloads. Its key strengths are competitive pricing, eu/us coverage, spot availability. Vast.ai is best suited for: Budget-conscious developers, Spot-tolerant batch jobs, Researchers needing cheap GPUs. Its key strengths are lowest spot prices, wide gpu variety, bid-based pricing. Marketplace providers aggregate GPU supply from multiple sources, often offering the lowest spot rates but with more variable availability and less predictable performance compared to dedicated providers.
Support tiers and region coverage
FluidStack offers Standard → Enterprise support across 4 regions (US-East, US-West, EU-West and 1 more). Vast.ai offers Community → Pro support across 4 regions (US, EU, APAC and 1 more). Both providers have comparable region coverage — choose based on which specific regions overlap with your user base or data residency requirements.
Provider background: FluidStack vs Vast.ai
FluidStack was founded in 2019 and is headquartered in London, UK. Vast.ai was founded in 2017 and is headquartered in San Francisco, CA. Vast.ai has 2 years more operational history than FluidStack, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.