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
Gcore is a global GPU cloud and CDN provider offering H100, A100, L40S, and L4 instances across 40+ points of presence worldwide, with ultra-low latency networking and built-in DDoS protection for edge AI inference workloads. On-demand and reserved billing options are available, making it a versatile GPU cloud for teams that need both compute and network performance at a global scale. A top choice for latency-sensitive AI inference applications that need to serve users across multiple continents.
- 40+ global PoPs
- Ultra-low latency
- DDoS protection
- Edge AI inference
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.
Gcore — specialist provider
Gcore is a global GPU cloud and CDN provider offering H100, A100, L40S, and L4 instances across 40+ points of presence worldwide, with ultra-low latency networking and built-in DDoS protection for edge AI inference workloads. On-demand and reserved billing options are available, making it a versatile GPU cloud for teams that need both compute and network performance at a global scale. A top choice for latency-sensitive AI inference applications that need to serve users across multiple continents.
Billing model comparison
Vast.ai uses a On-demand, Spot (bid-based) billing model with a minimum commitment of None. Gcore 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. Gcore is best suited for: Global inference deployment, Latency-sensitive AI apps, Teams needing edge compute. Its key strengths are 40+ global pops, ultra-low latency, ddos protection. 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). Gcore offers Standard → Enterprise support across 5 regions (EU, US, APAC and 2 more). Gcore'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 Gcore
Vast.ai was founded in 2017 and is headquartered in San Francisco, CA. Gcore was founded in 2014 and is headquartered in Luxembourg. Gcore has 3 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.