# The AI Cloud: A unified platform for AI workloads By Steven Van · 2025-07-10 New AI Cloud primitives include AI SDK, AI Gateway, Active CPU pricing, MCP server support, Queues, and Sandbox for untrusted code. Vercel has introduced the AI Cloud, a platform built on the same foundation as its [Frontend Cloud]() but extended to support agentic workloads such as conversational AI frontends and autonomous agents, announced at [Vercel Ship](). The AI Cloud brings together several AI-specific primitives: - **AI SDK and AI Gateway**: AI SDK standardizes code across model providers so teams can swap models without changing code, while AI Gateway routes calls, manages API keys and provider accounts, and adds retries and fallbacks. - **Fluid compute with Active CPU pricing**: a compute model that reuses existing resources before scaling and only charges compute rates while code is actively executing. Vercel says this can cut costs by up to 90% for workloads with high idle time, such as AI inference, agents, or MCP servers. - **Tool support, MCP servers, and Vercel Queues**: agents can call tools, route calls to MCP servers via the Vercel MCP adapter, and offload or retry background tasks without blocking. - **Vercel Sandbox**: runs untrusted, agent-generated code in ephemeral, isolated servers with user-accessible URLs, supporting runtimes including Node.js and Python with common packages pre-installed. [![]()]() ![Vercel]() Vercel The platform for frontend developers — deploy, preview, and scale web apps and AI agents with zero config. [View Vercel →]() [Original source]() [Read The AI Cloud: A unified platform for AI workloads on Creators Toolbox]() --- Canonical source: https://creatorstoolbox.com/blog/vercel-the-ai-cloud-a-unified-platform-for-ai-workloads