2 Integrations with Oasis Parcel

View a list of Oasis Parcel integrations and software that integrates with Oasis Parcel below. Compare the best Oasis Parcel integrations as well as features, ratings, user reviews, and pricing of software that integrates with Oasis Parcel. Here are the current Oasis Parcel integrations in 2024:

  • 1
    InfStones

    InfStones

    InfStones

    InfStones, a Softbank portfolio company, is an advanced, enterprise-grade Platform as a Service (PaaS) blockchain infrastructure provider trusted by the top blockchain companies in the world. InStones’ AI-based infrastructure provides developers worldwide with a rugged, powerful node management platform alongside an easy-to-use API. With over 15,000 nodes supported on over 60 blockchains, InfStones gives developers all the control they need - reliability, speed, efficiency, security, and scalability - for cross-chain DeFi, NFT, GameFi, and decentralized application development. InfStones is trusted by the biggest blockchain companies in the world including Binance, Coinlist, BitGo, OKX, Chainlink, Polygon, Harmony, and Kucoin, among a hundred other customers. InfStones is dedicated to developing the next evolution of a better world through limitless Web3 innovation.
    Starting Price: Free
  • 2
    Second State

    Second State

    Second State

    Fast, lightweight, portable, rust-powered, and OpenAI compatible. We work with cloud providers, especially edge cloud/CDN compute providers, to support microservices for web apps. Use cases include AI inference, database access, CRM, ecommerce, workflow management, and server-side rendering. We work with streaming frameworks and databases to support embedded serverless functions for data filtering and analytics. The serverless functions could be database UDFs. They could also be embedded in data ingest or query result streams. Take full advantage of the GPUs, write once, and run anywhere. Get started with the Llama 2 series of models on your own device in 5 minutes. Retrieval-argumented generation (RAG) is a very popular approach to building AI agents with external knowledge bases. Create an HTTP microservice for image classification. It runs YOLO and Mediapipe models at native GPU speed.
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