Anaconda, Inc.

Security added at the end of a workflow isn’t governance, it’s damage control. 🔓 Today, we’re introducing Environment Services Manager to embed vulnerability visibility, policy enforcement, and compliance directly into AI workflows so security moves with your environments, not against them. Check out more below and at this link: https://bit.ly/4d5k53U

Final reminder to catch the Anaconda sessions taking place today at #PyConUS: • 11:45 AM: How many spoons does your environment cost, presented by Dawn Gibson Wages • 11:45 AM: How to give your Python code to someone else, presented by Russell Keith-Magee • 1:45 PM: Panel on fostering better collaboration between the scientific Python community and core Python development, moderated by Dawn Gibson Wages • 2:45 PM: Distributing AI with Python in the browser, presented by Fabio Pliger https://bit.ly/4ttDxMy

🚨 #PyConUS attendees: Booth #313 is officially open! Come meet our team and see the latest Anaconda platform updates powering AI-native development workflows for enterprises. Also, don’t miss upcoming sessions on May 15 featuring Anaconda’s own Dawn Gibson Wages, Russell Keith-Magee, and Fabio Pliger. See you there! https://bit.ly/4ttDxMy

AI initiatives stall when experiments never make it to production. 🧪 We’re introducing new features and integrations that close that gap, making AI workflows reproducible, and observable from local development → to cloud → to production. Swipe through and follow the link to learn more: https://bit.ly/4d5k53U

Running local LLMs doesn’t have to mean juggling separate tools. Anaconda Desktop brings together model management, conda environments, and IDE launch workflows in one place. Filter models based on your hardware and memory, run them locally as chat or API endpoints, monitor usage, and open JupyterLab with the right environment already active. Explore Anaconda Desktop, now in beta → https://bit.ly/48SewDj

Spend less time fixing infrastructure and more time building and shipping AI. Today, Anaconda is launching new tools built for AI-native development. ✅ One command sets up your Python toolchain ✅ One desktop app manages models and environments ✅ One main channel for PyTorch, with 30 days of upstream release, plus 19 AI packages ✅ One governed channel delivers 6,000+ packages Swipe the carousel to see the full breakdown, and learn more here: https://bit.ly/4d5k53U

New in the Anaconda main channel: the complete infrastructure for production AI workflows… 💥 Faster PyTorch releases, so no more lagging behind conda-forge and PyPI by months ↔️ Expanded GPU platform support 📦 New packages spanning RAG systems, agent orchestration, inference optimization, fine-tuning, monitoring, and multi-modal AI Explore what’s new and why it matters: https://bit.ly/4tB1Rg8

Heading to PyCon US, May 13-19? Stop by Anaconda’s booth (#313) to connect with our team! We’re taking over the NVIDIA booth on May 15, and that same day, you can catch sessions from Anaconda’s Dawn Gibson Wages, Russell Keith-Magee, and Fabio Pliger. If you’re around, come say hi and spend some time with the team. https://bit.ly/4ti4sek

Banks have spent the last decade turning AI into core enterprise infrastructure, before it was mainstream. Today, about one-third of firms use generative AI, powering everything from fraud detection to personalized financial advice. The real takeaway live in the execution. Integrating with legacy systems, building governance, and proving ROI. As AI scales across industries, banking offers a roadmap of what it takes to move from pilots to production: https://bit.ly/3Qvz2TS

AI supply chains aren’t just code. Model weights, datasets, and agent tools now act as executable components, but most SBOM and SCA programs can’t inspect them. 🔎 📈 This creates a growing provenance debt as teams adopt external models without verification. For CISOs, the gap is an expanding blind spot in enterprise risk. Explore the new Gartner report, and how to bring visibility to your entire AI supply chain: https://bit.ly/4uowaXv