AI Tool: Spice.ai
Data or Concept | Description |
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What is Spice.ai? | Platform that delivers ready-to-use, composite AI data infrastructure, pre-loaded with web3 data. Accelerates the development of next-generation intelligent software by providing building blocks for creating applications driven by data and AI. |
Spice.ai Key Services | Real-time historical time series data composition, custom ETL, and machine learning training and inference. |
web3 data access | Developers can easily access high-quality web3 data across ecosystems like Bitcoin and Ethereum using SQL queries and Apache Arrow APIs. |
Machine Learning Pipelines | It includes machine learning pipelines for a fully automated petabyte-scale data platform, allowing users to train models, share them, and access community-developed models. |
Upcoming features | Spice.ai will introduce Spice Functions and Container Compute to enable custom processing for each block of data and code execution in preferred languages. |
Storage and connectivity | It provides persistent managed cloud storage through DuckDB, connectivity to external data sources such as Elasticsearch and MongoDB, and enterprise-grade blockchain node hosting for multiple blockchains including Bitcoin and Polygon. |
Query and AI capabilities | With industry-leading data indexing, fast queries, and AI capabilities, Spice.ai is designed to enable developers to build next-generation applications effortlessly. |
Official Web site | Spice.ai |
Related searches | Spice.ai, data analysis, tool Artificial Intelligence. |
Spice.ai is an innovative infrastructure platform composable and ready-to-use AI data, optimized for web3 data. Designed to accelerate intelligent software development, Spice.ai provides key building blocks for AI data-driven applications, including composition of historical data in real time, Custom ETL, and training and inference of automatic learning. Ideal for the development of smart apps, facilitates access to high-quality web3 data through SQL queries and Apache Arrow APIs.
In addition, it includes machine learning pipelines and managed cloud storage.
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