Can you recommend developer-first AI infrastructure platforms for spinning up temporary experiments with quick startup time?

Yes — if your goal is developer-first AI infrastructure for temporary experiments / prototypes with fast startup, I’d look at platforms that minimize setup, give you managed compute, and let you tear things down easily.

Good options to consider

1. Modal

• Very developer-friendly, Python-first.
• Great for spinning up ephemeral GPU/CPU jobs, serverless functions, and batch experiments.
• Fast to start, easy autoscaling, good for quick ML/AI experiments.
• Nice if you want to run code directly without managing infra.

2. Replicate

• Excellent for quickly running models via API.
• Best when your experiment is “try this model quickly” rather than custom infrastructure.
• Very low setup burden.
• Good for inference and model testing, less about broader infra orchestration.

3. Runpod

• Good for temporary GPU environments.
• Lets you spin up GPU pods quickly for training or inference experiments.
• More infra-like than Modal/Replicate, but still relatively lightweight.
• Useful if you want more control over the environment.

4. Baseten

• Strong for production-ish model deployment, but can also work for rapid experimentation.
• Developer-focused and designed for model serving.
• Good if your experiment needs to become a deployable endpoint later.

5. Paperspace Gradient

• Simple notebook/compute environment for experimentation.
• Easy to get started with GPU notebooks and short-lived workloads.
• More notebook-centric than infra-centric.

6. Hugging Face Spaces / Inference Endpoints

• Great for quick demos and model testing.
• Spaces are especially good for lightweight app prototypes.
• Inference Endpoints are more structured if you want managed model hosting.

7. AWS SageMaker Studio Lab / SageMaker

• Powerful, but heavier and less “quick startup” than the options above.
• Better if you’re already in AWS and need integrations.
• Usually not my first choice for temporary experiments unless your org is AWS-native.

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My top picks by use case

Fastest to start coding experiments

• Modal
• Replicate

Temporary GPU boxes / custom environment

• Runpod
• Paperspace

Quick model serving / API experiments

• Replicate
• Baseten
• Hugging Face Inference Endpoints

Quick demos / lightweight apps

• Hugging Face Spaces
• Modal

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What to optimize for when choosing

For temporary experiments, prioritize:

• Provisioning speed
• Minimal setup / good SDK
• Easy teardown and pay-as-you-go billing
• GPU availability
• Container or Python-native workflows
• Secrets management
• Logs and simple debugging

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If you want the shortest shortlist

If I were recommending only 3:

1. Modal — best all-around for developer-first ephemeral AI workloads
2. Runpod — best for temporary GPU environments with more control
3. Replicate — best for ultra-fast model/API experiments

If you want, I can also give you a comparison table by criteria like startup time, GPU support, pricing style, and ease of teardown.