Inference comparison
Baseten vs NVIDIA DGX Cloud Lepton
Managed inference API against gpu marketplace. Editorial fit scores help shortlist; live pricing stays on the provider sites.
Editorial scores last reviewed August 12, 2026
Managed inference API
Baseten
Dedicated endpoint + autoscale usage
GPU marketplace
NVIDIA DGX Cloud Lepton
Partner GPU marketplace / DGX Cloud usage
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| Dimension | Baseten | NVIDIA DGX Cloud Lepton |
|---|---|---|
| Category | Managed inference API | GPU marketplace |
| Billing | Dedicated endpoint + autoscale usage | Partner GPU marketplace / DGX Cloud usage |
| GPU choice | Select hardware per deployment | NVIDIA and partner GPU classes exposed through DGX Cloud Lepton |
| Cold start | Scaled-to-zero endpoints can cold-start | Depends on the selected partner capacity and deployment shape |
| Model access | Bring your own weights or use Truss templates | Bring your own weights onto provisioned NVIDIA/partner GPUs |
| Best for | ML teams shipping bespoke models who want managed serving without building the ops stack | Teams already standardised on NVIDIA DGX Cloud / partner GPU inventory who need marketplace access rather than a standalone serverless brand |
| Watch out | Pricing spans dedicated and shared tiers — forecast from your traffic shape, not list rates alone | Product identity is DGX Cloud Lepton after NVIDIA’s acquisition — treat legacy lepton.ai marketing as historical; verify current regions, SKUs, and billing on NVIDIA’s pages |
| GPU choice (1–10) | 6/10 | Winner: 7/10 |
| Time-to-serving (editorial) (1–10) | Winner: 7/10 | 5/10 |
| Price clarity (1–10) | 5/10 | 5/10 |
| Production ops (1–10) | Winner: 9/10 | 7/10 |
| Open-model breadth (1–10) | Winner: 7/10 | 6/10 |
Chart
Fit scores on the decision axes
Editorial 1–10 ratings for this pair only — not live pricing or latency benchmarks.
GPU choice
Pick exact GPUs
Time-to-serving (editorial)
Warm-path fit
Price clarity
Easy to forecast
Production ops
Less DIY ops
Open-model breadth
Catalog depth
Scores are editorial planning ratings (1–10) for product shape — not published $/hour quotes or vendor SLAs. Verify current pricing on each provider site.
How to decide
Prefer Baseten when ml teams shipping bespoke models who want managed serving without building the ops stack. Prefer NVIDIA DGX Cloud Lepton when teams already standardised on nvidia dgx cloud / partner gpu inventory who need marketplace access rather than a standalone serverless brand. If those statements both feel true, rent a GPU for control and keep a managed API for peak traffic — do not force one product to do both jobs.
Common questions
Baseten vs NVIDIA DGX Cloud Lepton
Answered from the verified figures on this page rather than general guidance.
How are Baseten and NVIDIA DGX Cloud Lepton billed?
Baseten uses dedicated endpoint + autoscale usage; NVIDIA DGX Cloud Lepton uses partner gpu marketplace / dgx cloud usage. Marketplace hourly spend tracks GPU uptime; serverless and managed APIs bill for what you invoke — different failure modes if you forget to shut things down.
Which gives more control over the GPU, Baseten or NVIDIA DGX Cloud Lepton?
Baseten: Select hardware per deployment. NVIDIA DGX Cloud Lepton: NVIDIA and partner GPU classes exposed through DGX Cloud Lepton. NVIDIA DGX Cloud Lepton scores higher for GPU choice (7/10 vs 6/10). Pick a marketplace when you need a specific SKU; pick serverless or managed APIs when you want the platform to handle hardware.
Which has faster cold starts, Baseten or NVIDIA DGX Cloud Lepton?
Baseten: Scaled-to-zero endpoints can cold-start. NVIDIA DGX Cloud Lepton: Depends on the selected partner capacity and deployment shape. Our editorial ratings favour Baseten for warm API speed (7/10 vs 5/10), but real latency depends on model size, region, and whether endpoints are kept warm. Those 1–10 scores are editorial rankings, not measured milliseconds — record your own TTFT/p95 on a warm endpoint in the target region before you buy on latency.
Should I use Baseten or NVIDIA DGX Cloud Lepton?
Choose Baseten when ml teams shipping bespoke models who want managed serving without building the ops stack. Choose NVIDIA DGX Cloud Lepton when teams already standardised on nvidia dgx cloud / partner gpu inventory who need marketplace access rather than a standalone serverless brand. Watch out: Pricing spans dedicated and shared tiers — forecast from your traffic shape, not list rates alone Product identity is DGX Cloud Lepton after NVIDIA’s acquisition — treat legacy lepton.ai marketing as historical; verify current regions, SKUs, and billing on NVIDIA’s pages