Provider Overview
Strengths & Best For
Vultr offers H100, A100, and L40S GPU instances across 32 global locations with simple hourly GPU rental pricing and no long-term commitment required. A developer-friendly GPU cloud with a clean API, straightforward billing, and broad geographic coverage for teams needing AI inference or training capacity close to their users. A solid choice for global deployment of AI workloads without the complexity of hyperscaler pricing models.
- 32 global locations
- Simple pricing
- Hourly billing
- Good API
Salad leverages a distributed network of consumer GPUs — including RTX 4090 and RTX 3090 — to deliver some of the lowest AI inference prices on the market, making it ideal for batch image generation, LLM inference, and cost-sensitive AI workloads. The marketplace model enables per-use billing with no minimum commitment, dramatically undercutting traditional on-demand GPU cloud pricing for fault-tolerant jobs. Best suited for workloads that can tolerate variable hardware rather than requiring guaranteed uptime.
- Extremely low prices
- Consumer GPU network
- Batch inference focus
- Pay-per-use
Live GPU Pricing
Region Coverage
Popular Comparisons
Vultr — specialist provider
Vultr offers H100, A100, and L40S GPU instances across 32 global locations with simple hourly GPU rental pricing and no long-term commitment required. A developer-friendly GPU cloud with a clean API, straightforward billing, and broad geographic coverage for teams needing AI inference or training capacity close to their users. A solid choice for global deployment of AI workloads without the complexity of hyperscaler pricing models.
Salad — marketplace provider
Salad leverages a distributed network of consumer GPUs — including RTX 4090 and RTX 3090 — to deliver some of the lowest AI inference prices on the market, making it ideal for batch image generation, LLM inference, and cost-sensitive AI workloads. The marketplace model enables per-use billing with no minimum commitment, dramatically undercutting traditional on-demand GPU cloud pricing for fault-tolerant jobs. Best suited for workloads that can tolerate variable hardware rather than requiring guaranteed uptime.
Billing model comparison
Vultr uses a On-demand (hourly) billing model with a minimum commitment of None. Salad uses Per-use (serverless) 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
Vultr is best suited for: Global deployment, Simple workloads, Developer-friendly teams. Its key strengths are 32 global locations, simple pricing, hourly billing. Salad is best suited for: Budget inference workloads, Image generation pipelines, Cost-sensitive batch jobs. Its key strengths are extremely low prices, consumer gpu network, batch inference focus. 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
Vultr offers Basic → Enterprise support across 5 regions (US, EU, APAC and 2 more). Salad offers Community → Pro support across 2 regions (US, EU). Vultr's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Vultr vs Salad
Vultr was founded in 2014 and is headquartered in Matawan, NJ. Salad was founded in 2020 and is headquartered in Boston, MA. Vultr has 6 years more operational history than Salad, 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.