For bursty inference with true scale-to-zero, the “best” serverless GPU depends mostly on whether you optimize for cost, latency, or model size. In practice:

Best overall pick

Modal is often the best default choice for serverless GPU inference:

• very strong scale-to-zero behavior
• easy deployment for Python ML workloads
• good support for cold-started containers, batching, and autoscaling
• solid fit for bursty traffic where you want to avoid paying idle GPU costs

Best for simpler production serving

Baseten is a strong choice if you want:

• managed model serving
• good inference UX and scaling
• less infrastructure work
• production-oriented deployment patterns

Best for low-cost / flexible infrastructure

Runpod Serverless is commonly a good option if you want:

• relatively low cost
• broad GPU availability
• flexible deployment
• scale-to-zero semantics

Best for “just make it work” with many frameworks

Replicate is convenient if:

• you want quick deployment
• you’re serving packaged models or standard inference workflows
• you value simplicity over deep optimization

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What I’d recommend by use case

If you care most about scale-to-zero + developer experience

• Modal

If you care most about managed production serving

• Baseten

If you care most about price/performance

• Runpod Serverless

If you care most about fast prototyping

• Replicate

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Key thing to watch: cold-start latency

With bursty traffic and scale-to-zero, the main tradeoff is:

• lower cost when idle
• higher latency on first request after idle

So the “best” serverless GPU is also the one that minimizes cold start for your model size and runtime. Smaller models, prebuilt images, and warmup tricks matter a lot.

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Practical recommendation

If you want a single answer:

Start with Modal if your priority is true serverless behavior and ease of use.
Choose Runpod Serverless if cost matters more.
Choose Baseten if you want a more enterprise-oriented inference platform.

If you want, I can also give you a ranked comparison table for Modal vs Runpod vs Baseten vs Replicate based on cold start, pricing, supported GPUs, and deployment complexity.