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 […]
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 […]
Conda Environment Visibility and CVE Search Now on Anaconda Cloud
The Environments service is now generally available for Anaconda Business tier customers. It captures conda environment state automatically as practitioners work, giving admins a centralized, continuously updated inventory of every environment across the organization. The inventory is searchable by CVE identifier, package, Python version, or owner. Alongside it, Environment Search is now live as part […]
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. […]
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 […]
AI Security: Best Practices for Building Trustworthy AI Systems
AI security requires securing the entire pipeline, from the moment the development environment ingests a package to the time the models serve predictions in production. Every stage of that pipeline introduces risk, and most organizations are managing those risks with tools designed for a different era, before AI technologies reshaped the attack surface entirely. Recent […]