I've spent the last 6 months testing cloud GPU providers across every major US data center region. Here are the actual best deals, which providers have real availability, and where you'll get the most bang for your buck.
These are actual prices I've verified in the last 24 hours. The "lowest" prices are spot instances or marketplace rates—great if your workload can handle interruptions. The typical range is what you'll pay for reliable on-demand instances.
| GPU Model | Lowest Price | Provider | Typical On-Demand Range |
|---|---|---|---|
| NVIDIA H100 | $2.29/hr | Vast.ai | $2.99 - $4.50/hr |
| NVIDIA A100 | $1.25/hr | Vast.ai | $1.99 - $3.20/hr |
| RTX 4090 | $0.52/hr | Vast.ai | $0.70 - $1.20/hr |
| RTX 3090 | $0.35/hr | Vast.ai | $0.50 - $0.90/hr |
| A10G | $0.75/hr | AWS Spot | $1.00 - $1.50/hr |
💡 Pro tip: Vast.ai has the lowest prices but variable reliability. For production workloads, I recommend Lambda Labs or CoreWeave despite the higher cost.
I've personally tested each of these providers with real workloads—training LLMs, running Stable Diffusion inference, and rendering 3D scenes. Here's my honest take on which ones are worth your money.
I've personally trained multiple models on Lambda's infrastructure. Their A100 instances are rock-solid stable, and you actually get the full GPU—no virtualization overhead. The customer support is surprisingly responsive for a smaller provider.
View Lambda Labs Prices →Vast.ai is basically the Airbnb of GPU rental. Prices can be absurdly low because you're renting from individuals with spare hardware. I've gotten RTX 3090s for $0.35/hour. The catch? Reliability varies. Some hosts are amazing; others disappear mid-training.
View Vast.ai Prices →CoreWeave is built differently—they own their infrastructure. When you need hundreds of GPUs for a big training run, they're the provider that actually has them available. Prices aren't the cheapest, but you're paying for guaranteed availability and no noisy neighbors.
View CoreWeave Prices →RunPod's serverless offering is genuinely impressive for inference workloads. You pay only for actual compute time, and the cold start is faster than anything I've seen from the big clouds. I use it for a production LLM API and the cost savings are massive.
View RunPod Prices →Look, AWS GPU instances are expensive. But if your company is already on AWS, the integration benefits often outweigh the cost premium. Plus, their spot instances can actually be competitive if you're willing to handle interruptions.
View AWS Prices →Location matters. Pick the wrong region and you'll pay more for egress bandwidth, suffer higher latency, or struggle with GPU availability. Here's where the major providers have presence and which regions make sense for different use cases.
Training medical AI? You'll need a BAA. AWS, Google Cloud, and Azure all offer HIPAA-compliant GPU instances. Among specialized providers, CoreWeave and Lambda Labs can sign BAAs for enterprise customers. Expect 20-40% price premium.
CoreWeave, Lambda Labs, and the major clouds (AWS/GCP/Azure) all have SOC 2 Type II. Vast.ai and other marketplace providers generally don't—fine for research, risky for production with sensitive data.
H100 and A100 GPUs are export-controlled under US regulations. All legitimate US providers handle compliance, but if you're doing international inference, make sure your provider allows traffic from your target countries.
Based on our daily price tracking, Vast.ai consistently offers the cheapest cloud GPU rentals in the USA, with RTX 4090 instances starting around $0.52/hour. However, Lambda Labs offers the best value for H100 and A100 instances with prices starting at $1.99/hour for A100 and $2.99/hour for H100, backed by enterprise-grade reliability.
For most AI/ML workloads, we recommend us-east-1 (N. Virginia) or us-west-2 (Oregon) as they offer the best availability and lowest latency for the majority of users. California regions (us-west-1) are great if you're training on West Coast data. Texas regions often have better spot instance availability.
Yes, several providers offer HIPAA-compliant GPU instances including AWS, Google Cloud, and Azure. Among specialized GPU providers, Lambda Labs and CoreWeave offer BAA (Business Associate Agreement) options for healthcare AI workloads. Expect to pay 20-40% premium for compliant instances.
Absolutely. AWS, Google Cloud, and Azure all offer GPU spot/preemptible instances with discounts of 60-90%. Vast.ai specializes in spot-like marketplace pricing. Just be aware that these instances can be interrupted with little notice—great for fault-tolerant training, risky for long inference jobs.
Don't just take my word for it—browse live prices from 40+ US providers. Filter by GPU model, region, and price range to find exactly what you need.
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