Create LLMs Tailored for Your Use Cases
Developing an LLM is complex—and cloud-hosted proprietary models are expensive, not specific to a use case, and do not secure your organization’s data.
Access Open-Source LLMs
Test a variety of customizable large-language models with various parameter counts, sizes, and accuracy levels.
Ensure Security
Keep data secure with on-premises deployment for unparalleled flexibility and control over your generative AI projects.
Learn from the Experts
Anaconda’s Professional Services team will assist with implementation to ensure outcomes meet your requirements.
ANACONDA AI PLATFORM
A Unified Platform to Accelerate Every AI Journey
Streamline your AI with open source through a single platform designed for efficiency, security, governance, and compliance.
Secure Governance
Enterprise-grade governance with role-based access control that aligns with your compliance frameworks
Trusted Distribution
Thousands of vetted Python packages, complete with dependency management and security controls
Actionable Insights
Comprehensive analytics on package usage, team collaboration, and resource utilization to maximize investment
The Total Economic Impact of Anaconda Report
Convert open source complexity into enterprise advantage with $1.18M in validated benefits over just three years.
- 119% ROI with an 8-month payback period
- $840,000 in operational efficiency improvements
- 60% reduction in security vulnerabilities ($157,000 value)
- $179,000 in technology cost savings
Additional Resources
Generative AI with IBM and Anaconda
Discover the power of Anaconda and IBM WatsonX for LLMs.
Anaconda Professional Services
Get help building and implementing generative AI from the Anaconda Experts.
Data Preparation for Large Language Models (self-paced course)
Transform Your Organization’s
AI Capabilities Today
Join the 95% of Fortune 500 companies that trust Anaconda to bridge the gap between open source innovation and enterprise requirements. Schedule a demo to see how our platform can deliver ROI for your organization.
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