GPU pricing
GPU Cloud Pricing Decisions
Use these pages when the GPU hourly rate is visible but the workload placement decision is still muddy. The useful question is usually about useful GPU-hours, data movement, provider variance, commitment, and operations.
A practical checklist for comparing cloud GPU quotes across hourly rate, billing unit, storage, bandwidth, availability, support, and commitments.
GPU Utilization Break-Even: When A Cheap GPU Cloud Actually Saves Moneycost_breakdownA practical GPU utilization break-even page for deciding when lower hourly rates outweigh idle time, retries, and operational overhead.
GPU Training Cost Breakdown: Before You Rent The Biggest GPUcost_breakdownA practical breakdown of GPU training cost drivers, including runtime, checkpointing, failed runs, storage, data movement, and capacity planning.
GPU Inference Cost Breakdown: The Numbers To Estimate Firstcost_breakdownA practical breakdown of GPU inference cost drivers, including useful GPU-hours, batching, idle time, traffic shape, storage, and data movement.
Cheapest H100 Cloud: Why The Lowest Price Can Be The Wrong AnswerdecisionA practical decision page explaining why the cheapest H100 cloud listing may not be the cheapest workload placement.
Vast.ai vs Managed GPU Cloud: When Marketplace Pricing Is Worth ItcomparisonA practical decision page for comparing Vast.ai marketplace GPU pricing with managed GPU clouds for experiments, inference, and training.
RunPod vs Lambda vs AWS: Which Fits GPU Inference?comparisonCompare RunPod, Lambda, and AWS for GPU inference by cost sensitivity, data gravity, reliability, operations, and production requirements.
GPU Cloud Hidden Fees: The Costs Missing From The Hourly GPU Ratecost_breakdownA checklist of GPU cloud costs that are easy to miss, including storage, bandwidth, idle time, retries, support, and commitment waste.
H100 Cloud Pricing Comparison: What To Compare Before The Hourly RatecomparisonA practical H100 cloud pricing comparison checklist focused on useful GPU-hours, availability, storage, bandwidth, and operational tradeoffs.
GPU Cloud Pricing Checklist: What the Hourly Rate Leaves Outcost_breakdownA checklist for comparing GPU cloud quotes beyond the hourly GPU price, including storage, bandwidth, idle time, availability, and ops.
A100 vs H100: When the Cheaper GPU Is the Better PlacementdecisionA practical decision page for choosing A100 or H100 based on workload shape, memory, throughput, price, and availability.
RunPod vs Lambda vs Vast.ai: Which GPU Cloud Fits Your Workload?comparisonCompare RunPod, Lambda, and Vast.ai by workload shape, reliability needs, pricing model, and operational tolerance.
H100 On-Demand vs Reserved Capacity vs Spot: Which Should You Use?decisionA decision page for choosing between on-demand H100, reserved GPU capacity, and spot or marketplace GPUs.
AWS vs Specialized GPU Cloud for H100 InferencecomparisonA practical decision page for comparing AWS H100 capacity against specialized GPU clouds for inference workloads.
How to Systematically Compare Cloud GPU Prices Across 20+ ProviderscomparisonThe real approach to comparing GPU prices on AWS, Google, Oracle, and 20+ providers—when spot/on-demand, regions, and volatility can drive 2x–8x price swings monthly. Shortcuts, tradeoffs, and decision tools.
RunPlacement quiz
Pressure-test this workload
Start with useful GPU-hours and workload tolerance before trusting a cheaper GPU listing.
Uses workload type, budget, GPU need, data movement, priority, and ops tolerance.