What should I use to host an AI model API?

It depends on your model size, traffic, latency needs, and how much ops you want to manage. Here are the main good options:

Best hosting choices

1. Managed model APIs (easiest)

Use a provider like:

• OpenAI
• Anthropic
• Google Gemini
• AWS Bedrock
• Azure OpenAI

Use this if: you want the simplest setup, fast time-to-market, and don’t need full control over the model.

Pros: no infra management, scaling handled for you
Cons: less control, ongoing per-token costs, model restrictions

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2. Serverless GPU platforms (good balance)

Examples:

• Modal
• Replicate
• Runpod Serverless
• Baseten

Use this if: you want to host your own model but don’t want to manage Kubernetes or GPU servers directly.

Pros: easier deployment, auto-scaling, flexible
Cons: can get expensive at scale, cold starts depending on platform

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3. Cloud GPU instances (most control)

Examples:

• AWS EC2 GPU
• GCP Compute Engine GPU
• Azure GPU VMs
• Lambda Labs
• Paperspace

Run your own API server with something like:

• FastAPI
• vLLM
• TGI (Text Generation Inference)
• NVIDIA Triton
• Ollama (for simpler/smaller setups)

Use this if: you want control over model serving, batching, quantization, or lower cost at scale.

Pros: flexible, often cheaper at steady high usage
Cons: you manage scaling, reliability, drivers, deployments

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4. Dedicated inference platforms

Examples:

• vLLM on Kubernetes
• Hugging Face Inference Endpoints
• Together.ai
• Fireworks.ai
• Inference providers for open models

Use this if: you want to serve open-source models without building the whole serving stack.

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Quick recommendations

• Prototype / MVP: OpenAI, Anthropic, or Replicate
• Own open-source model, minimal ops: Modal or Baseten
• Serious production with open-source models: vLLM on a GPU VM or Kubernetes
• Small local/private deployment: Ollama or llama.cpp

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What to choose based on your needs

If you want the simplest:

Managed API provider
Good for most teams starting out.

If you want to host your own model with low ops:

Modal or Runpod Serverless

If you care about cost at scale and tuning performance:

GPU VM + vLLM

If you need enterprise compliance / cloud integration:

AWS Bedrock or Azure OpenAI

If you want, I can recommend a specific stack based on:

1. model size
2. expected requests per second
3. budget
4. whether you need open-source or proprietary models