NVIDIA Nemotron 3 Ultra Is Now Available from Anaconda
Building serious agentic AI means solving a problem most teams hit eventually: not every task in your workflow requires the same model. Some decisions need deep reasoning. Most don’t. The teams that figure out how to match model capability to task complexity are the ones that build systems that actually work in production: efficiently, reliably, […]
Generative AI in Banking: Moving Fast in an Industry Built to Go Slow
Banks are among the most sophisticated data organizations on the planet. They have decades of experience managing risk, building models, and making consequential decisions at scale. However, the capabilities that make financial institutions world-class risk managers, such as rigorous governance, strict change control, and deep regulatory accountability, are the same ones that can slow AI […]
Why Anaconda Acquired Outerbounds
Anaconda has acquired Outerbounds. But this isn’t really about an acquisition. It’s about a deeper shift: the way we’ve been building software no longer works for AI. For decades, software development has operated on a stable assumption. If you provide the same input, you should expect the same output. That assumption shaped everything around it, […]
Introducing the Next-Gen Anaconda Command Line Interface (CLI)
What’s New If you build with Python, ML, or AI, you’ve spent more hours than you would like setting up your environment instead of using it and figuring out which Python version your machine is actually using. Re-pointing channels every time you switch machines. The Anaconda Command Line Interface (CLI) is a single executable that […]
8 Levels of Reproducibility: Future-Proofing Your Python Projects
Introduction Congratulations! You’ve written a bit of Python code that does something useful. Now what? Will you be able to run that code tomorrow, a year from now, or 10 years from now? If you give it to someone else, will they be able to run it? Can you set it up to run on […]
Introducing Anaconda Desktop
Today, we’re releasing Anaconda Desktop in public beta, a single application for AI development that brings model discovery, local inference, and conda environment management together for the first time. Anaconda Desktop is free to download. You can find a model and build with it locally, all from one place. It also runs on the same […]
What’s New in Anaconda Main for AI Development
If you’ve been supplementing main with conda-forge or PyPI to get your AI stack working, this post is for you. Over the past two quarters, Anaconda has significantly expanded main channel coverage for AI development—faster PyTorch releases, broader GPU support, and new packages that complete the AI workflow stack. Here’s what’s new and why it […]
Can You Answer These 7 Questions About Your AI?
On March 24, 2026, attackers reportedly slipped malicious code into two versions of LiteLLM—a Python library and API gateway that sits inside millions of enterprise AI stacks. Organizations that didn’t know LiteLLM was running in their environment had no way of knowing they were exposed. That last point is a recurring problem. Supply chain attacks […]
Dependency Hell in AI: Why ML Package Conflicts Are a Governance Problem
The Problem That Looks Like a Tuesday It usually starts with a help desk ticket or a Slack message that says something like: “The model we deployed last month is throwing errors in production.” An engineer digs in. The culprit is not the model itself. It is a transitive dependency—a package that another package requires—that […]
GPU Environments in One Command
Setting up a GPU-accelerated development environment takes experience and expertise. You start with a CUDA® download from NVIDIA, navigate a series of platform, version, and architecture selections just to download cuDNN, then spend time cross-referencing version compatibility across the GPU driver, the CUDA toolkit, the CUDA libraries, and the framework you actually want to use. […]