Anaconda, Inc.

A fast pip install often comes down to one thing: wheels 🛞 Python wheels are pre-built binary packages that let tools like pip skip compilation and install packages directly. ✓ They make setup faster ✓ Reduce build failures ✓ Help create more consistent environments across laptops, containers, and CI systems This guide explains how wheels work, how to check if one exists for your platform, what happens when one doesn’t, and where wheels fit into a broader package management strategy: https://bit.ly/4vBK2hO

AI is expanding who gets to build software. It’s also expanding risk. Anaconda CEO David DeSanto recently joined Gemma Allen on SiliconANGLE & theCUBE’s NYSE Wired. During the conversation, David explained why as more developers, hobbyists, and AI agents build applications, secure foundations matter more than ever. Hint: It starts with trust. The Anaconda Platform enables AI-native development at scale through trusted Python packages, curated AI models, and governance that allows organizations to move fast without compromising security. Watch the full conversation on the Anaconda YouTube channel 📺 https://bit.ly/4xFUxma 🏷️ NYSE, Brian J. Baumann, John Furrier

This time next week, we’ll be at #DataAISummit 2026, joining innovators, builders, and leaders shaping the future of data and AI! 🚀 Stop by our booth to learn how enterprises are using Anaconda to build, manage, and scale secure AI-powered workflows — from experimentation to production. We'll be meeting with attendees June 15–18 to discuss practical approaches to enterprise AI, governance, and deployment. Schedule time with our team: https://bit.ly/3OSzIlS

You won't want to miss this one folks! Snag your spot for tomorrow's Numerically Speaking LIVE, kicking off at 1pm CT over on YouTube. 🐍 Link here: https://lnkd.in/gXD85mvQ

Anaconda CEO David DeSanto shares his first experience using Anaconda Desktop beta with NVIDIA Workstation DGX Spark. In under three minutes, David: ⬇️ Downloaded a local Gemma 4 model 🚀 Launched a Model API Server 🤖 Created an agent in Agent Studio ✅ Verified everything was running locally on the DGX Spark This blog kicks off a multi-part series exploring what it takes to build AI-native applications using local infrastructure and resources without any tradeoffs → https://bit.ly/3RC1ynz

🪐 When Ceres disappeared behind the Sun in 1801, Carl Friedrich Gauss used an early form of what we now know as the Fast Fourier Transform to help predict where it would reappear. FFT separates a signal into its component frequencies — much like a prism splits light — and today it underpins technologies like 5G, image processing, and compression. In today’s #PythonTips, Senior Developer Relations Engineer at Anaconda, Daina Bouquin, explains how with NumPy, you can apply the same concept without doing the math by hand.

Anaconda Desktop brings local AI development into one place, allowing you to: ✔️ Browse open-source models by hardware compatibility, license, and quantization ✔️ Compare benchmarks for reasoning, code generation, and function calling ✔️ Run models in chat or as local API endpoints ✔️ Monitor usage and logs ✔️ Manage conda environments visually ✔️ Launch tools like JupyterLab or Spyder with the right environment already active. Learn more → https://bit.ly/4uRdfW9

Agent Studio and Anaconda MCP bring AI-native workflows directly into your Python environment. → MCP enables the tools you’re already using to understand your environments, packages, and project context. → Agent Studio lets you build, test, and iterate on agents without leaving the Python workflows you already have set up. These two experimental features are in beta, so we can surface workflow friction and shape the final, polished products — together as a community. Discover how we’re bridging the gap between your environments and agents: https://bit.ly/4a4mKJ0

PyData London attendees! On June 6, Anaconda Senior DevRel Engineer Daina Bouquin will lead a session at the Doddington Forum. The session will cover what AI sovereignty means in practice, how to evaluate self-hosted local LLMs, and security controls for data and code artifacts, including provenance, signatures, compliance, and reproducible environments. Be sure to add it to your schedule: https://bit.ly/4xetoqj

Nemotron 3 Ultra, NVIDIA’s largest open model, is now available to run on the Anaconda Platform! 🎉 Ultra provides frontier-level reasoning without the compute overhead of a dense model at the same scale. Now, the Nemotron family is a full agentic stack: use Ultra for planning and Nano for execution. And with Outerbounds handling orchestration while the Anaconda Platform handles governance, your workflow should inherit the same security controls, audit trails, and compliance policies your organization has already configured. Learn more: https://bit.ly/43bOk3k 🐍