Spice.ai Frequently Asked Questions

Spice.ai Frequently Asked Questions. Spice.ai: Web3 data-loaded AI infrastructure. Composable and ready-to-use, it accelerates the development of next-gen intelligent software.

FAQ from Spice.ai

What is Spice.ai?

Spice.ai provides a ready-to-use data and AI infrastructure that is pre-loaded with Web3 data, enabling the swift development of intelligent applications.

How to use Spice.ai?

Developers can integrate Web3 data with their code and machine learning models to create advanced applications. The platform offers high-quality datasets and developer-friendly SDKs for easy integration, supporting SQL-based queries and real-time data processing.

What are the core features of Spice.ai?

Core features include enterprise-grade infrastructure, Apache Arrow integration, pre-loaded enriched data, SQL and code integration, ecosystem compatibility, custom datasets and views, SQL Firecache, serverless functions, scalable data platform, and private ZK/ML clusters.

What can I do with Spice.ai?

Spice.ai enables you to build data and AI-driven applications by integrating Web3 data, performing complex SQL queries, and using developer-friendly tools.

Is Spice.ai suitable for real-time data analysis?

Yes, it offers a scalable platform capable of processing petabytes of real-time, time-series data efficiently.

Does Spice.ai support serverless functions?

Yes, it supports serverless execution of code, which can be written in Go or Python, for flexible and scalable application development.

Can I create my own datasets and views with Spice.ai?

Yes, the platform allows for the creation of custom datasets and views, which can be managed and queried using SQL through Spice Firecache.

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