Much like the move from assembly to high-level languages revolutionized software development in the past, AI is now driving a similar transformation. While artificial intelligence is fundamentally changing how we build technology, Python maintains its position as the dominant programming language for AI development.

To help enterprises and developers evolve their AI capabilities safely and responsibly, Anaconda is today expanding its partnership with NVIDIA to:

  • Further accelerate data and AI processing by distributing CUDA libraries as part of the Anaconda Platform for enterprises
  • Improve accessibility to GPUs in Jupyter Notebooks—available first as private preview in Anaconda Notebooks

Building on Momentum

Last year, Anaconda took a massive step toward simplifying how developers work with AI technology by integrating NVIDIA’s CUDA Toolkit 12 into our platform. Since then, thousands have benefited from this partnership to focus on innovation rather than wrestling with technical setup. 

“The impact of these tools is already evident,” says Thomas Nield, Engineering Lead at Yawman Flight. “The integration of NVIDIA GPUs with Anaconda’s platform has transformed how I manage deep learning workflows. Being able to selectively accelerate computation-heavy tasks while keeping our development environment isolated allows faster and more focused R&D instead of managing infrastructure.”

Introducing GPU- Powered Jupyter Notebooks

This week, at NVIDIA GTC 2025, we’re launching in private preview, a native, easier way to enable GPU access through Jupyter Notebooks to make AI development more accessible and secure. 

This solution seamlessly connects Jupyter users from local or on-premises workflows to cloud or enterprise GPU resources through an intuitive interface. It empowers teams across all technical proficiency levels to develop, test, and optimize AI/ML workflows on high-performance computing infrastructure without the traditional complexity of resource management.

This capability, coupled with our platform’s comprehensive set of secure CPU/GPU optimized assets, provides practitioners and enterprise users a streamlined approach for AI development. By putting the power of AI development into more hands, these GPU-powered Notebooks offer a unified environment where enterprises and developers can:

  • Innovate AI applications faster
  • Leverage the latest CUDA libraries 
  • Stay within critical security and compliance guidelines

A Solution That Scales with Enterprise Needs

  • 64% of CEOs currently face pressure to accelerate AI adoption
  • Nearly three-quarters of IT security professionals report their organizations already grapple with AI-related security challenges 
  •  Gartner predicts AI governance will become legally mandated by 2027

Organizations face a clear challenge: innovating quickly while maintaining control.  

AI is writing the future of software development. Anaconda is ensuring it remains open, secure, and accessible to all by focusing on three key priorities:

  1. Simplifying AI development
  2. Safeguarding organizations
  3. Accelerating innovation. 

Deepening our partnership with NVIDIA will further drive open source development and considerable AI innovation that is secure and tested for the enterprise in 2025 and beyond.

Available Today in Private Preview

Available in private preview on https://www.anaconda.com/lp/gtc-preview, developers can:

  • Access professional-grade GPU computing power instantly
  • Work in an environment that’s pre-configured with essential AI assets and tools
  • Begin with 500 minutes of free processing time

Experience the Future at GTC 2025 

We invite you to see these capabilities in action at GTC 2025. Visit us at Booth #2006 to experience how we’re making AI development more accessible, secure, and efficient for everyone. 

Whether you’re a beginner exploring AI for the first time, a seasoned developer building complex systems, or a business leader guiding your organization’s AI strategy, we’re building the ecosystem you need to succeed.

Click here to try GPU-Powered Notebooks today.