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
IBM Cloud provides H100 and A100 GPU instances with enterprise-grade compliance certifications including HIPAA, FedRAMP, and SOC 2, making it the default GPU cloud for regulated industries that cannot use less-compliant providers. On-demand and reserved billing options are available, with deep integration into the IBM Watson and watsonx AI ecosystem for enterprise AI workloads. The go-to choice for healthcare, government, and financial services organizations that need GPU compute within a fully compliant cloud environment.
- HIPAA and FedRAMP compliance
- Enterprise SLAs
- IBM Watson integration
- Global regions
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.
IBM Cloud — hyperscaler provider
IBM Cloud provides H100 and A100 GPU instances with enterprise-grade compliance certifications including HIPAA, FedRAMP, and SOC 2, making it the default GPU cloud for regulated industries that cannot use less-compliant providers. On-demand and reserved billing options are available, with deep integration into the IBM Watson and watsonx AI ecosystem for enterprise AI workloads. The go-to choice for healthcare, government, and financial services organizations that need GPU compute within a fully compliant cloud environment.
Billing model comparison
Vast.ai uses a On-demand, Spot (bid-based) billing model with a minimum commitment of None. IBM Cloud uses On-demand, Reserved billing with a None (on-demand) minimum. IBM Cloud's no-commitment on-demand model is more flexible for short-term or experimental workloads, while Vast.ai's commitment requirement suits teams with predictable long-running jobs.
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. IBM Cloud is best suited for: Regulated industries, Enterprise compliance workloads, IBM ecosystem users. Its key strengths are hipaa and fedramp compliance, enterprise slas, ibm watson integration. 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). IBM Cloud offers Standard → Enterprise support across 2 regions (US, EU). 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 IBM Cloud
Vast.ai was founded in 2017 and is headquartered in San Francisco, CA. IBM Cloud was founded in 2011 and is headquartered in Armonk, NY. IBM Cloud has 6 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.