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  1. Getting Started

Welcome to Spice.ai Cloud

Welcome to the Spice.ai Cloud Platform documentation!

Last updated 5 months ago

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The Spice.ai Cloud Platform is an AI application and agent cloud; an AI-backend-as-a-service comprising of composable, ready-to-use AI and agent building blocks including high-speed SQL query, LLM inference, Vector Search, and RAG built-on cloud-scale, managed .

This documentation pertains to the Spice.ai Cloud Platform.

For documentation on the self-hostable Spice.ai OSS Project, please visit .

With the Spice.ai Cloud Platform, powered by Spice.ai OSS, you can:

  1. Query and accelerate data: Run high-performance SQL queries across multiple data sources with results optimized for AI applications and agents.

  2. Use AI Models: Perform large language model (LLM) inference with major providers including OpenAI, Anthropic, and Grok for chat, completion, and generative AI workflows.

Use-Cases

  • Fast, virtualized data views: Build specialized “small data” warehouses to serve fast, virtualized views across large datasets for applications, APIs, dashboards, and analytics.

  • Performance and reliability: Manage replicas of hot data, cache SQL queries and AI results, and load-balance AI services to improve resiliency and scalability.

  • Production-grade AI workflows: Use Spice.ai Cloud as a data and AI proxy for secure, monitored, and compliant production environments, complete with advanced observability and performance management.

Collaborate on : Share, fork, and manage datasets, models, embeddings, evals, and tools in a collaborative, community-driven hub indexed by .

Take it for a spin by starting with the .

Feel free to ask any questions or queries to the team in .

Spicepods
spicerack.org
getting started guide
Discord
Spice.ai OSS
docs.spiceai.org
Spice.ai Cloud, powered by Spice.ai OSS delivers a secure compute environment for AI applications and agents