Vast.ai vs Cirrascale: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Vast.ai and Cirrascale. Updated July 2026.
Provider Overview
Strengths & Best For
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
Cirrascale Cloud Services provides enterprise-grade AI infrastructure featuring H100 NVL, H100 SXM5, and H200 GPU clusters with InfiniBand networking for high-throughput distributed LLM training and large-scale AI workloads. Dedicated cluster deployments and reserved configurations give enterprises full control over their GPU infrastructure without shared-tenancy concerns. A specialist provider for AI labs and enterprises that need dedicated H100 or H200 cluster capacity at scale.
- H100/H200 cluster focus
- InfiniBand networking
- Dedicated deployments
- Enterprise SLAs
Live GPU Pricing
Region Coverage
Popular Comparisons
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.
Cirrascale — specialist provider
Cirrascale Cloud Services provides enterprise-grade AI infrastructure featuring H100 NVL, H100 SXM5, and H200 GPU clusters with InfiniBand networking for high-throughput distributed LLM training and large-scale AI workloads. Dedicated cluster deployments and reserved configurations give enterprises full control over their GPU infrastructure without shared-tenancy concerns. A specialist provider for AI labs and enterprises that need dedicated H100 or H200 cluster capacity at scale.
Billing model comparison
Vast.ai uses a On-demand, Spot (bid-based) billing model with a minimum commitment of None. Cirrascale uses On-demand, Reserved 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
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. Cirrascale is best suited for: Large-scale AI training, Enterprise LLM workloads, Dedicated cluster users. Its key strengths are h100/h200 cluster focus, infiniband networking, dedicated deployments. 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
Vast.ai offers Community → Pro support across 4 regions (US, EU, APAC and 1 more). Cirrascale offers Standard → Enterprise support across 1 region (US). Vast.ai's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Vast.ai vs Cirrascale
Vast.ai was founded in 2017 and is headquartered in San Francisco, CA. Cirrascale was founded in 2009 and is headquartered in San Diego, CA. Cirrascale has 8 years more operational history than Vast.ai, 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.