We measured container cold start latency, hourly cost equivalent, and scale-to-zero efficiency across leading serverless GPU infrastructure providers.
Fastest Cold Start: Modal delivers the fastest container initialization (~1.8s for warm image snapshots), making it ideal for on-demand user-facing workloads.
Lowest Execution Cost: RunPod Serverless provides the cheapest per-second pricing on A100/H100 tiers for high-concurrency custom deployments.
Best Drop-In Inference: Together AI provides the highest token throughput without managing containers, charged strictly per token.
| Provider | GPU Type | Median Cold Start | Equivalent Hourly Rate | Scale-To-Zero |
|---|---|---|---|---|
| Modal | A100 (40GB) | 1.8 s | ~$2.85 / hr | Yes (<1s spin down) |
| RunPod | A100 (80GB) | 4.2 s | ~$2.59 / hr | Yes |
| Replicate | A100 (80GB) | 6.5 s | ~$4.14 / hr | Yes |
| Together AI | H100 Cluster | Instant (Pooled) | Token-based | N/A (Managed API) |
| Lambda Labs | A100 (80GB) | On-Demand VM | $1.89 / hr | No (Billed per hour) |
Modal uses custom containerization primitives allowing image memory snapshots to restore in under 2 seconds. It is the premier choice for Python developers serving models that must spin down completely to zero cost when idle.
RunPod's serverless endpoints allow direct execution of custom Docker images on massive hardware fleets. With lower base rates per GPU second than competitors, it is the top choice for automated batch jobs and scalable enterprise backends.