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, […]
What Are Python Wheels? A Guide to Pre-Built Python Packages
When you type pip install numpy into your terminal, it usually finishes in seconds. What you may not realize is numpy installs so fast because a pre-built wheel exists for your platform. For packages where no wheel is available, or in environments where the wrong version is pulled, that same command can flood your terminal […]
Local Enterprise AI That Actually Works: Anaconda Desktop + NVIDIA DGX Spark
Part 1: Oh no… Our CEO is building again. Your laptop is a supercomputer. But it isn’t an AI supercomputer. You don’t have to trade off privacy to run real enterprise AI models. It’s time to embrace 2026 and the move to AI-native. Introducing the power of Anaconda Desktop + NVIDIA DGX Spark and their […]
Your Python Workflow, Now AI-Ready
When we talk to Python users today, two things come up consistently. First: the fundamentals still matter. Reproducible environments, dependency resolution, package security, and reliable tooling are table stakes for serious work. We keep investing there, and that won’t change. Second: the way Python developers actually work has shifted faster in the last two years […]
Every company wants to be an AI platform. Most are missing the point.
Just last year, Anaconda announced it was becoming an AI platform. At the time, the industry was still actively defining what that even meant. The market was moving fast. Infrastructure companies became AI infrastructure companies overnight. Developer tools became AI developer tools. Data platforms became AI platforms. Everyone was racing to participate in the AI […]
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, […]
Anaconda MCP: AI Development on Anaconda’s Trusted, Secure Foundation
You’ve been there. You spin up a new project and ask your AI coding assistant to get the environment ready. It confidently reaches for pip install. It guesses at package names. It tries to install cv2 when it should know to look for opencv. The YAML it generates is technically valid, but it ignores your […]
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 […]
Main-X Channel: More Packages, Same Trusted Source
What’s New Every Anaconda user has hit the same wall. They run conda install, and instead of a package, they get a PackagesNotFoundError. The package is popular on PyPI. But it isn’t in Anaconda’s main channel and now, that means they have to download it from PyPI instead. For individual developers, this is daily friction. […]