Decision pages
Workload Placement Breakdowns
Approved pages for deciding where workloads should run.
A 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.