• Smart AI Cloud Platform
    Smart AI Cloud Platform

    A business-level platform for developing and running AI, built with AI as its main focus and using the latest cloud technology. It integrates strong computing power, easy management, a user-friendly development environment, tools for managing models throughout their life-cycle, and solid security. The platform helps companies solve problems related to efficiency, cost, engineering, and reliability when using AI, making it a strong support for large-scale AI projects.

    • DataCanvas Alaya NeW
      A full-featured, cloud-based platform specifically built for AI and large language model (LLM) projects. It covers everything needed for developing and producing AI applications.
    • AI Data Center OS
      The fundamental system for managing large amounts of AI computing resources. It funtions as a "super scheduler" that optimizes the utilization of AI computing power..
  • Developer Center
    Developer Center

    Developer Center is a one-stop platform designed specifically for AI developers, with the core vision of “Building industrial-grade AI as easy as stacking blocks.” The platform deeply integrates advanced AI infrastructure and open-source technology ecosystem, providing full-process support for developers—from environment setup, model development, deployment to community collaboration.

    • Open-Source Suite
      The open-source suite includes DingoDB (multi-modal vector database), YLearn (causal learning software), and DAT (automated machine learning software).
    • Key Open-Source Products
      Focus on improving AI development efficiency and engineering, building the DataCanvas open-source ecosystem.
  • Technology Exploration
    Technology Exploration

    Breaks traditional technology paradigms by exploring cloud-native AI integrated architectures.

    • National and Industry Standards
      DataCanvas drives industry transformation with cutting-edge technology breakthroughs, possessing full-stack capabilities to support enterprise-level large model applications. The company actively participates in formulating multiple national and industry standards.
    • Publications and Patents
      Consistently achieves breakthroughs at top international academic conferences and journals over the years, with more than 10 papers published at prominent AI conferences such as ICLR, and holds over 400 independent intellectual property rights.
  • Ecosystem Collaboration
    Ecosystem Collaboration

    DataCanvas builds an open and collaborative ecosystem, partnering with cloud vendors, domestic chip manufacturers, industry ISVs, and leading research institutions to deliver full-stack, innovative AI solutions. Through technological symbiosis, business win-win, and joint standard-setting, the company has implemented numerous benchmark cases, accelerating large-scale AI adoption across various industries.

    • Partners
      Working hand-in-hand with AI ecosystem partners for mutual success.
  • News
    News

    DataCanvas News focuses on technological breakthroughs, business cooperation, industry honors and ecological dynamics, with real-time updates on key progress.

    • Company News
      Release of strategies, financial reports and major events, authoritative disclosure
    • Media Reports
      In-depth interpretation of technological and commercial value from a third-party perspective
    • Video Center
      Presentation of product demonstrations, case records and summit speech dynamics
  • About Us
    About Us

    Positioning: Leading provider of AI infrastructure software, focused on cloud-native AI platforms and large model toolchains.

    Technology: Proprietary core technologies, including the Alaya AI Data Center Operating System and Hypernets automated machine learning framework.

    Achievements: Ranked in the TOP 4 of IDC's China AI platform market. Leading the development of national standards and serving multiple benchmark clients.

    Mission: Promote the industrialization of  AI in enterprises and build an open, win-win ecosystem.

    • Company Overview
      DataCanvas is a leading provider of AI infrastructure and intelligent computing cloud services. Its notable brands include Alaya NeW Cloud and Alaya NeW OS, are widely acknowledged in the industry. The company delivers high-performance computing, intelligent cloud services, and AI software for both AI training and inference, empowering a broad range of AI developers and enterprise clients
    • Key Technological Milestone
      Founded in 2013, DataCanvas consistently achieving technological breakthroughs and earning widespread recognition.
    • Honors
      Goverment Accreditation & Industry Recognition & Institutional Certification 
    • Authoritative Certifications
      Full-stack innovation and the highest level of financial-grade security compliance
    • Contact Us
      leo@zetyun.com
leo@zetyun.com
中文/EN

The 2025 WBBA Broadband Development Congress Successfully Held in Paris

DataCanvas Debuts Global AI Computing Paradigm at GITEX Global 2025

A New Benchmark for Inclusive Computing Power! DataCanvas Selected for China’s National “Specialized, Refined, Distinctive, and Innovative” Key ‘Little Giant’ Enterprise List

  • News categories
  • Company News
  • Media Reports
  • Video Center
  • The Breakthrough Strategy of Computing Power
    Release date:2024.09.26
  • DataCanvas Alaya NeW Intelligent Computing Operating System Best Practices
    Release date:2024.09.26
  • Computing Power Packages: Accelerating Accessible Computing Power
    Release date:2024.09.26
  • Intelligent Computing Operating System: Embracing the New World of Software-defined Computing Power
    Release date:2024.07.10
  • What Are the Important Issues in the Wave of AI Development?
    Release date:2024.07.09
  • WAIC | DataCanvas Brings the AI Secret of Intelligent Computing Centers - DataCanvas Alaya NeW
    Release date:2024.07.08
  • Dr. Fang Lei, Chairman of DataCanvas, Was Interviewed by CCTV as a Representative Exhibitor
    Release date:2024.07.07
  • On the Eve of the AI Agent Boom, Are Enterprises AI Ready? (Part 1)
    Release date:2024.05.29
  • On the Eve of the AI Agent Boom, Are Enterprises AI Ready? (Part 2)
    Release date:2024.05.29
  • The Momentous Launch of DATACANVAS AIDC OS
    Release date:2024.04.19
  • Intelligent Computing Revolution: Reshaping Future Computing
    Release date:2024.04.19
  • In the Era of Computing Power Economy, the Catalyst for High-Quality Development of Intelligent Computing Centers
    Release date:2024.04.19
  • AI Foundation Software Accelerates the Intelligent Upgrading of Industries
    Release date:2024.01.17
  • The Dawn of AI-Native Enterprise
    Release date:2023.12.28
  • Exploration and Transformation in the Era of Large Models: DingoDB Multimodal Vector Database
    Release date:2023.12.02
  • Large Model Achievements Release Conference: TableAgent (Part 3)
    Release date:2023.11.21
  • Large Model Achievements Release Conference: TableAgent (Part 2)
    Release date:2023.11.21
  • Large Model Achievements Release Conference: TableAgent (Part 1)
    Release date:2023.11.21
  • DataCanvas Alaya Large Model Open Source Release (Part 2)
    Release date:2023.11.21
  • DataCanvas Alaya Large Model Open Source Release (Part 1)
    Release date:2023.11.21
  • The Development Path of Domestic AI Computing Power in the New Era
    Release date:2023.11.21
  • AI foundation software: How to build large + small models independently?
    Release date:2023.09.09
  • CCID’s interview with Dr. Fang Lei, Chairman of DataCanvas
    Release date:2023.07.31
  • Analysis of AI’s Diversity Future Perspective
    Release date:2023.07.13
  • Brand new changes in the era of large models
    Release date:2023.06.30
  • Dr. Fang Lei:AI Foundation Software Empowering Enterprises Upgrade Digitalization
    Release date:2023.06.07
  • 2023 Data Science Online Summit: Two-way Empowerment of AIGC and Causal Learning
    Release date:2023.04.22
  • Starting from a good start, Haidian Financial "Active Water" Helps the High Quality Development of the Real Economy
    Release date:2023.02.27
  • CSDN Database Meetup: Introduction to DingoDB high-frequency Serving scenarios
    Release date:2022.08.22
  • Introduction to YLearn causal learning software
    Release date:2022.07.13
  • Mr. Shang Mingdong, co-founder and CTO of DataCanvas, delivered a welcome speech
    Release date:2022.07.13
  • Usage cases of YLearn causal learning software
    Release date:2022.07.13
  • YLearn: causal learning, from prediction to decision-making
    Release date:2022.07.13
  • Professor Cui Peng of Tsinghua University: "Artificial Intelligence: From Knowing What It Is to Knowing Why It Is"
    Release date:2022.07.13
  • DataCanvas RT, for the exploration and application of real-time financial scenarios
    Release date:2022.04.20
  • In-depth introduction to automatic machine learning and industry applications
    Release date:2021.10.24
  • DataCanvas&IDC releases the white paper "Introducing AutoML to Breakthrough in Enterprise Intelligence"
    Release date:2021.10.19
  • ModelOps creates full life-cycle management of models in the AI application era
    Release date:2021.10.15
  • Beijing Satellite TV’s interview with DataCanvas Chairman Dr. Fang Lei
    Release date:2021.07.10
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