Guides
How to rent a GPU without paying for the parts you do not need. All 10, from the same daily price snapshot as every other page.
- Best GPU for AI: Training vs Inference, at Live Rental PricesRead the guide →The best GPU for AI training, inference, and budget work, chosen from live rental prices across 25+ clouds. Defaults first, then the three axes that decide every other case.
- Budget GPU cloud storage and data transferRead the guide →Calculate storage and egress alongside GPU compute, including retained volumes, destination rules and billing increments.
- Cheapest cloud gpuRead the guide →
- Choose a GPU cloud region for your workloadRead the guide →Compare published GPU regions with your data location, required configuration and transfer budget without assuming latency or capacity.
- Compare reserved GPU contracts before committingRead the guide →Compare a GPU reservation with on-demand usage using the commitment total, matching configuration, expected runtime and cancellation terms.
- How to Rent a Cloud GPU: Step by StepRead the guide →The full process of renting a cloud GPU for the first time: picking the card, the pricing tier, and the provider, plus the fees and billing traps that catch first-time renters. Live prices, updated daily.
- Local GPU or cloud GPU for an existing workstation?Read the guide →Decide whether to run a workload on a GPU you already own or rent cloud capacity, using incremental costs and the workload's actual requirements.
- Move a GPU workload between cloud providersRead the guide →Compare the full cost of switching GPU clouds, including configuration, software support, data transfer, persistent storage and validation time.
- Rent a GPU Cluster: Multi-GPU and 8x Node PricingRead the guide →How to rent a GPU cluster without confusing a per-GPU rate with the full node bill. Compare 8x minimums, utilization, interconnect, and current sourced GPU-hour prices.
- Spot vs On-Demand vs Serverless GPU Pricing: When Each WinsRead the guide →The three kinds of GPU pricing explained the way our tables actually use them: firm on-demand, interruptible spot and community, and per-second serverless. When each wins, and the traps.