Top LLM Agent Hosting Platforms Reviewed

We tested platforms for agent essentials like cold starts under 2 seconds, pricing below $1 per million output tokens on 70B models, persistent storage, MCP tools, autoscaling, and easy deployment. We checked production readiness for each, drawing from official pricing pages and docs.

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More on this subject: Agent Infrastructure and Deployment (51 guides)

Effective LLM agent hosting balances several key factors:

Persistent State: Agents require durable storage for memory and artifacts across sessions, unlike ephemeral chatbot inference.

Tool Integration: Support for MCP or rich APIs for file ops, webhooks, locks.

Low Cold Starts: Under 2 seconds for responsive multi-turn interactions.

Scalable Pricing: Per-second GPU or per-token billing without idle costs.

Collaboration: Human-agent handoff, sharing, comments.

Platforms like Fastio fill gaps in persistence and MCP, while others excel in raw compute.

Define clear tool contracts and fallback behavior so agents fail safely when dependencies are unavailable. This improves reliability in production workflows.

Match your needs:

Stateful/multi-agent: Fastio (workspaces, MCP, version history).

Inference speed: Fireworks.ai or Modal (<1s cold starts).

GPU flexibility: RunPod or Replicate.

Budget testing: Start with free tiers/credits.

Test integration with your LLM stack. For production agent teams, prioritize MCP support and persistent storage to address common gaps in competitor offerings. Try the Fastio Business Trial.

Define clear tool contracts and fallback behavior so agents fail safely when dependencies are unavailable. This improves reliability in production workflows.

Fastio offers intelligent workspaces for LLM agents, including a consolidated MCP toolset via Streamable HTTP/SSE, built-in RAG, and persistent file storage. See the agent guide for full details.

Unlike inference-focused platforms, Fastio provides the coordination layer: agents build workspaces, upload outputs, query with AI, collaborate via comments, and hand off to humans via ownership transfer.

Strengths

• 14-day Business Trial with usage-based credits.
• Version history for change tracking, real-time activity feed, and ownership transfer for production handoff.
• Universal LLM support via remote MCP connection at https://mcp.fast.io/mcp.
• Intelligence Mode auto-indexes files for semantic search and cited RAG queries.

Limitations

• Optimized for storage/tools, not GPU inference (pair with Replicate/Modal).
• Compute handled by external LLMs.

Best for: Stateful workflows, multi-agent teams, human collaboration.

Pricing: 14-day Business Trial; Starter from $29/mo. Source: Fastio Pricing.

Replicate runs open ML models serverless via HTTP API.

Strengths

• Pay-per-second on GPUs like A100 ($5.04/hr).
• Auto-scales; vast model library.
• Quick prototyping.

Limitations

• No persistence; ephemeral.
• Basic tools.

Best for: Stateless agent inference.

Pricing: $0.000225-0.0028/sec GPU.

Modal offers serverless Python GPU functions.

Strengths

• Sub-second cold starts.
• Volumes for temp state.
• H100 $0.001097/sec.

Limitations

• Ephemeral; Python-only.
• No MCP.

Best for: Python agent jobs.

Pricing: $0.000164-0.001736/sec GPU.

RunPod deploys GPU pods/serverless.

Strengths

• H100 $0.0014/sec; pre-warmed.
• Disk storage.
• Global regions.

Limitations

• Setup overhead.
• No native tools.

Best for: Custom GPU agents.

Pricing: $0.000164+/sec.

Fal.ai specializes in serverless gen AI.

Strengths

• H100 $1.89/hr.
• Fast image/video for agents.
• Edge scale.

Limitations

• Gen-focused.
• No state.

Best for: Multimodal agents.

Pricing: $0.0005+/sec.

Baseten deploys ML models with Truss.

Strengths

• Fast cold starts 100ms.
• Auto-scale.
• A100 $0.066/min.

Limitations

• Ephemeral.
• Model-centric.

Best for: Serving scale.

Pricing: $0.00058+/min CPU/GPU.

Together hosts open models.

Strengths

• Llama 70B $0.88/M.
• Distributed inf.
• Fine-tune.

Limitations

• No persistence.
• Model focus.

Best for: Open inf.

Pricing: $0.06-3.50/M tok.

Fireworks delivers fast LLM inf.

Strengths

• <100ms cold; 10x vLLM.
• Function calling.
• 70B $0.90/M.

Limitations

• Inf only.
• No state.

Best for: Speedy chains.

Pricing: $0.10-0.90/M tok.

For compute-heavy stateless: Replicate/Modal/Fireworks. For persistence/tools: Fastio. Multimodal: Fal.ai. Test trial options and platform tiers first.

Define clear tool contracts and fallback behavior so agents fail safely when dependencies are unavailable. This improves reliability in production workflows.