Inferless
Serverless GPU platform for deploying ML models in minutes with sub-second cold starts and auto-scaling.
Our Verdict
A credible serverless GPU option for ML inference, especially when cold starts must stay tiny.
Pros
- Sub-second cold starts on GPUs
- Autoscaling tuned for ML inference
- Fast model deployment workflow
Cons
- Newer player vs Replicate and Modal
- Cost predictability takes tuning
- Limited non-inference use cases
Best for: ML teams serving models with spiky, latency-sensitive traffic
Not for: Always-on training jobs or simple CPU-only APIs
When to Use Inferless
Good fit if you need
- Deploying custom ML models via API with sub-second cold starts
- Serverless GPU inference for LLMs and diffusion models
- Autoscaling ML model endpoints without managing GPU clusters
- Deploying Python model pipelines as REST APIs in minutes
- Cost-efficient inference billing per-request on shared GPUs
Lock-in Assessment
Medium 3/5
Lock-in Score 3/5
Pricing
Price wrong?Inferless Pricing
- Pricing Model
- usage
- Free Tier
- Yes
- Entry Price
- —
- Enterprise Available
- No
- Transparency Score
- —
Beta — estimates may differ from actual pricing
1,000
1001K10K100K1M
10,000
1K10K100K1M10M
Estimated Monthly Cost
$25
Estimated Annual Cost
$300
Estimates are approximate and may not reflect current pricing. Always check the official pricing page.
Community Discussion
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