We track pricing data from 18 GPU cloud providers. We see which ones update their pricing, which ones have GPUs in stock, and which ones are quietly becoming more expensive. After 12 months of data collection and cross-referencing thousands of data points, here is our brutally honest report card for every GPU cloud provider in 2026. No sponsorships. No affiliate bias in the rankings. Just data.
The Grading Criteria
Each provider is scored across five dimensions: Pricing (how competitive vs. market median), Availability (can you actually get the GPU you want?), Reliability (uptime, instance stability, data persistence), UX (API quality, dashboard, docs), and Hidden Costs (egress, storage, idle billing, surprise fees).
Enterprise Tier
AWS
C+The most expensive GPU cloud by a wide margin. An H100 on p5.48xlarge costs $98.32/hr (for 8x). That is $8.46/hr per H100 equivalent — 3-6x more than marketplace providers. You get SOC 2 compliance, global availability, and enterprise support. But you pay for it. Aggressively. The C+ is because you also get hit with egress fees ($0.09/GB), EBS charges, and the most complex pricing page in cloud computing.
GCP
B-Slightly more competitive than AWS on GPU pricing, and their A2 and G2 instances are reasonably priced. The A100 40GB at $3.67/hr is still 2-3x market rate, but the spot pricing can bring it down to $1.10/hr — genuinely competitive. GCP loses points for the "local SSD is ephemeral" trap (your data disappears when you stop the instance) and quota request nightmares on H100s.
Azure
CThe most confusing GPU pricing of any provider. Multiple VM series (NC, ND, NV) with overlapping GPU options and pricing that varies by region. H100 on ND H100 v5 at $3.67/hr (per GPU equivalent) is competitive for enterprise, but getting approved for quota takes days to weeks. The UI is enterprise Java from 2014. Azure is where GPUs go when CIOs mandate Microsoft stack.
ML-Focused Tier
Lambda Labs
A-Clean pricing, ML-native UX, no hidden fees. H100 at $2.49/hr on-demand — not the cheapest, but predictable and reliable. Storage and egress included in the price (rare). The catch: limited GPU selection (mainly H100 and A100) and limited regions. Lambda Labs is the "just works" provider. The A- instead of A is because on-demand H100 pricing is 40-50% above marketplace alternatives.
RunPod
AThe best overall GPU cloud for individual developers and small teams. Wide GPU selection (4090, A100, H100, L40S), competitive pricing ($0.39/hr 4090, $1.29/hr H100), and a good dashboard. Serverless GPU inference is a killer feature — pay per second of compute time. The network volume system ($0.07/GB/mo) means your data persists between runs. Only downside: local disk is ephemeral and support can be slow.
Vast.ai
B+The cheapest GPU cloud, period. RTX 3090 at $0.07/hr, 4090 at $0.19/hr, A100 at $0.34/hr — all spot prices that are 2-5x below any managed provider. The trade-off: it is a P2P marketplace. Hosts can reclaim your instance. Disk is ephemeral. Uptime varies by host. Network bandwidth varies by host. But for batch jobs, experiments, and cost-sensitive inference, nothing beats Vast.ai on price.
Rising Stars
DigitalOcean GPU Droplets
A-Surprising entry from DigitalOcean. H100 GPU Droplets with their signature simple UX. Competitive pricing, reliable infrastructure, and the trust of a major cloud provider without the AWS pricing premium. For teams that want "RunPod reliability with Lambda Labs simplicity," DigitalOcean is the answer. Still building out GPU selection but promising.
TensorDock
B+Marketplace model similar to Vast.ai but with better curation and more consistent host quality. Pricing is competitive — often within 10% of Vast.ai — with better reliability. The API is developer-friendly and they support custom configs. Good for teams that want marketplace prices with fewer surprises.
The Summary Table
| Provider | Grade | Best For | Avoid If |
|---|---|---|---|
| RunPod | A | Best overall for individuals/startups | You need enterprise SLAs |
| Lambda Labs | A- | ML teams wanting simplicity | Budget is tight |
| DigitalOcean | A- | Teams wanting trusted infra | You need variety of GPUs |
| Vast.ai | B+ | Maximum cost savings | Mission-critical production |
| TensorDock | B+ | Budget + better reliability | Enterprise compliance needs |
| GCP | B- | Enterprise with spot pricing | You dislike quota requests |
| AWS | C+ | Enterprise with compliance needs | Budget matters at all |
| Azure | C | Microsoft-mandated environments | You value developer experience |
See the full provider breakdown: Explore detailed pricing pages for every provider on our GPU price comparison — filter by provider to see exactly what each one charges.
