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Best AI Hosting Platforms 2026

Explore AI hosting and inference platforms that run models for you - serverless GPU endpoints, per-token APIs for open models, and managed deployment with autoscaling - so you can ship AI features without operating GPU infrastructure. Compare cold-start latency, per-token and per-second pricing, model catalog, custom model support, and how well they scale under spiky load.

11 tools
Showing 1–11 of 11 tools
AI Ghostface - AI Voice Mask

Generate Y2K Ghostface portraits with AI - viral horror-chic in seconds

pumaDB

Shared memory for AI agents—stop losing context between tools

Docfarm

Host, share & track pitch decks and client reports with AI in minutes

doc2mcp

Turn any docs URL into an AI-ready MCP server in 60 seconds

NoInfra

AI agents without the infrastructure setup or cost

GMI Cloud

Serverless AI inference that scales with your production workloads

KiloClaw

Deploy OpenClaw agents in 5 minutes with 500+ models and zero markup

n8n LaunchPad

Managed n8n hosting in seconds—no servers, no stress.

SelfHostLLM

Calculate GPU memory needed for self-hosted LLM inference instantly

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Descript: AI Video Editor
ZeroGPU

Run routine AI workloads on specialized models, not frontier LLMs

TensorPool

Train foundation models. We handle the infrastructure.

Best AI Hosting Platforms 2026 - Frequently Asked Questions

What is the best platform to host an AI model?
Replicate is the easiest way to run open models via an API with no infrastructure work. Modal and RunPod give more control over serverless GPU workloads and custom containers. Together AI and Fireworks offer fast, cheap inference for open language models. Baseten targets production deployments with autoscaling. Hugging Face Inference Endpoints suit teams already in that ecosystem.
How much does it cost to host an AI model?
Two models dominate. Per-token pricing for hosted open models is often a fraction of frontier-model API pricing and needs no capacity planning. Dedicated GPU time runs from under a dollar to several dollars per hour depending on the card. Serverless is far cheaper for spiky traffic; a dedicated GPU wins once utilization is consistently high. Cold starts are the hidden cost of serverless.
Should I self-host or use an API?
Use an API until you have a specific reason not to. The reasons that justify self-hosting are real - data residency and privacy requirements, cost at high sustained volume, a fine-tuned model, or a need to avoid vendor dependency - but each carries meaningful engineering and operational overhead. Do not self-host to save money at low volume; you will not.