Anaconda

Accelerate AI development with industry-specific solutions, one-click deployment, and AI-assisted coding, plus access to open-source libraries and GPU-enabled workflows.
Data Science AI Development Cloud-Based Collaboration

Anaconda is an open ecosystem for data science and AI development that lets users find, build and run projects quickly. The platform offers a broad range of tools that are geared for specific industries, including financial services, public sector, health care and manufacturing, and that can be used to build AI applications that improve operations and decision making.

Anaconda is designed to work in the cloud, connecting users to a community of innovation and open-source libraries. It also comes with an AI assistant to help with coding issues and with features like GPU-enabled workflows and one-click deployment. That means you can get models into production faster and get feedback from stakeholders more easily.

Some of the key features include:

  • Industry-specific AI Solutions: Solutions for different industries.
  • One-Click Deployment: Faster deployment and less setup time.
  • Open-Source Libraries: Access to thousands of curated packages and libraries.
  • AI Assistant: Help with coding challenges with AI support.
  • GPU-Enabled Workflows: Leverage computing power for performance.
  • Disaster Recovery: Recover data and environments in the event of outages.
  • Administration and Governance: Control user access and ensure compliance with SSO, RBAC and Prometheus integration.

Anaconda offers several pricing tiers to suit different customers:

  • Free: $0, includes basic workspace and 5GB cloud-hosted notebooks.
  • Starter: $15/user/month, includes 10GB cloud-hosted notebooks and on-demand training courses.
  • Business: Starting at $50/user/month, includes open-source software supply chain security tools and curated vulnerability data.
  • Enterprise: Custom, includes advanced collaboration, administrative and governance tools.

Anaconda offers a range of add-on features and custom services, so it can be used by organizations large and small. The platform lets data scientists, teams and enterprises speed up development and get models into production faster while meeting security and governance requirements.

Published on June 24, 2024

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