Powering intelligent applications with composable data and time-series AI building blocks
TL;DR
Spice.ai, now publicly available, is your hub for building intelligent data and time-series AI applications.
Get composable, data and AI building blocks, including pre-trained machine learning models for AI predictions, and a petabyte-scale cloud data platform preloaded with 100TB+ of ready-to-use Web3, Asset Prices, and time-series data. Create, fork, and share hosted Datasets, Views, and ML Models with the new GitHub integrated Spice.ai Community Edition — complimentary for developers.
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Spice.ai is now generally available!
Since the Waitlisted Preview launch last year, projects like Yakoa, EigenLayer, and Entendre Finance have leveraged building blocks from Spice AI’s enterprise-grade platform to create high-performance, highly available, data and AI-driven applications.
Today, we’re announcing Spice.ai is publicly available for everyone, including a brand-new community-centric hub and a new Community Edition plan complimentary for developers.
Developers now have access to petabyte-scale cloud data and AI infrastructure, preloaded with 100TB+ of Web3, Asset Prices, and time-series data, delivered with SQL, Apache Arrow, and DuckDB. Community members can create, fork, and share datasets, and access data in real-time to power data-driven applications, monitoring, and analytics. Datasets can be fed directly into Spice.ai hosted ML training and inferencing for real-time decision-making applications.
Spice.ai is an application platform that brings together everything needed to build an intelligent application in one application-centric AI-backend-as-a-service.
Announcing new building blocks
We’re rolling out exciting new tools and features that can take your intelligent application development to the next level.
Spice Firecache: Turbocharge Your SQL Queries
Spice Firecache is a real-time, in-memory SQL service based on cloud-scale DuckDB instances that enables blazing fast SQL query up to 10x the performance of general SQL query. EigenLayer uses Spice Firecache to enable scenarios not possible before, including serving dynamic data to their high traffic dashboards, real-time monitoring, and analytics. ML models hosted on the Spice.ai platform can be paired with Firecache to power fast, low-latency inferencing, as demonstrated by the AI predictions demo on the Spice.ai website.
- If you like DuckDB, you’ll love it at cloud-scale, automatically provisioned and updated with real-time data.
Spice Functions: Beyond SQL
Spice Functions is a hosted Bacalhau service for serverless function compute that enables data transformation and processing co-located with your data and machine learning pipelines. Developers can write code in Go or Python. And every Spice Function deployment gets access to a dedicated hosted DuckDB instance for working data.
- Spice Functions unlocks scenarios that are difficult, expensive, or even impossible in pure SQL, such as adding to a basic accumulator or applying a custom algorithm on each new block of data.
Custom Datasets and Views: Your Data, Your Rules
Developers can tailor Spice data to their application with Custom Datasets and Views, defined in GitHub, alongside their application code. Datasets can be populated with Spice Functions and by connecting to external data sources starting with PostgreSQL. We’re excited to announce that Yakoa — IP protection for the blockchain — is one of the first projects to make their NFT data available in the Spice.ai platform with the release of their Copymint datasets.
“Other solutions were prohibitively expensive — what we could do in Spice with a single query would have taken millions of API calls in other platforms.” - Andrew Dworschak, CEO & Co-founder of Yakoa
We’re also making over 15 EigenLayer datasets public that ecosystem participants can use to build data-driven experiences, like Nethermind has done with their Restaking Dashboard. Combined with Spice.ai’s rich Ethereum Beacon chain data and HTTP API, observability into the EigenLayer universe has never been easier.
Spice ML Models: Automated Machine Learning
Like Datasets and Views, ML Model definitions are synced from GitHub to the Spice.ai platform and connected to Spice.ai hosted data, hosted machine learning pipelines, and Spice Firecache. The entire machine learning data lifecycle from origin to processing to training and inferencing is automatically and seamlessly managed by the Spice.ai platform so that developers can create decision-making applications, such as predicting and responding to resource requirements or mitigating potential security concerns with ease.
Summary
With the release of Spice Firecache, Spice Functions, Custom Datasets and Views, ML Models, and a community-centric developer hub to build and share datasets like from innovators Yakoa and EigenLayer, developers have the next set of building blocks to ship intelligent software for application and ecosystem observability, real-time monitoring and security, AI-powered IP protection, and more!
Interested in working with Spice AI or looking to learn a little more about the work we do? We are always looking for our next big challenge. Book an introductory call via our Calendly. Take a deeper look at our enterprise offerings by visiting Spice.ai.
