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Best AI Infrastructure AI tools

12 AI Infrastructure AI tools ranked by our quality score, with pricing and alternatives. See the best AI tools overall.

  1. SiliconFlowSiliconFlow logo
    AI Infrastructure

    SiliconFlow

    SiliconFlow is a lightning-fast AI platform for developers to deploy, fine-tune, and run over 200 optimized LLMs and multimodal models via simple, OpenAI-compatible APIs. It offers serverless, dedicated, and custom deployment options with high-speed inference, predictable costs, and no data storage. The platform supports text, image, video, and audio models, and provides features like fine-tuning, reserved GPUs, elastic GPUs, and an AI gateway for smart routing and cost control.

    LLMmultimodalinference+7
  2. Airbyte AgentsAirbyte Agents logo
    AI Infrastructure

    Airbyte Agents

    Airbyte Agents launched May 5, 2026 as the context layer for production-grade AI agents. At its core is the Context Store: a replicated, search-optimized index that unifies a company's data across systems before the agent runs. Available through MCP (Claude, ChatGPT, Cursor, any MCP client) and a native SDK. Launches with 50 connectors covering Salesforce, HubSpot, Zendesk, Jira, Slack, with 600+ in the catalog. Early testing shows 40% fewer tool calls and up to 80% lower token consumption.

    ai-agentscontext-storemcp+4
  3. AI Infrastructure

    Montage (M1)

    Montage is a runtime framework for agentic user interfaces. Instead of having an LLM regenerate every chart, table, kanban, or form token-by-token each turn, agents emit a small intent schema and Montage compiles it server-side into production components. The team reports 10x faster hydration and 50–100x fewer output tokens compared to token-streamed UI, with model-agnostic and framework-agnostic output themed to the host brand. Aimed at companies shipping customer-facing AI agents that want consistent, branded interfaces without the per-turn inference cost of full UI regeneration.

    agentic-uiui-frameworkai-agents+2