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 […]
When the world begins to shift underneath your feet
By now you’ve probably seen the news: OpenAI has acquired Astral, the team behind uv, Ruff, and ty. In just a few years, Astral built tooling that fundamentally changed what it feels like to work with Python with uv alone seeing over 126 million downloads a month, a number that reflects both direct developer adoption […]
Why Can’t Your Organization Actually Execute Its AI Strategy?
Most executives would tell you their organization has an AI strategy. They’d also admit, if pressed, that it isn’t being enforced across the tools their teams use every day. It’s happening across the board. 70% of IT leaders say they have a centralized AI strategy, but only 34% can actually apply it to their enterprise […]
Anaconda Expands Platform Capabilities to Accelerate AI Development
Building AI workflows at scale means solving three problems at once: finding the right model, working confidently in your environment, and maintaining a clear record of every decision along the way. Today we’re announcing enhancements across AI Catalyst and the Anaconda Platform that address all three. Smarter model discovery with quantifiable security evaluation, a new […]
Anaconda AI Catalyst: Governing AI Lifecycles From NVIDIA DGX Spark to Nemotron
Getting a GPU-accelerated Python environment up and running with the right NVIDIA CUDA dependencies, the right framework versions, and the right security posture can take days of troubleshooting—time better spent on productive work. And once teams finally move from experimentation to production, they often find their environments aren’t reproducible, their models aren’t governed, and their […]
Anaconda Expanding GPU Environments to Open Models with NVIDIA
Anaconda’s integration of NVIDIA technology now spans the full enterprise AI stack, from GPU-accelerated Python environments to open models for agentic AI. The NVIDIA Nemotron model family is now available in Anaconda’s AI Catalyst, extending enterprise governance to AI models. Together, these integrations give enterprises a governed, reproducible path from environment setup to AI development. […]
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. […]
Anaconda Joins the OpenMP Architecture Review Board
We are excited to announce that Anaconda has joined the OpenMP Architecture Review Board (ARB). As more and more researchers and developers adopt Python for their work, parallel computing standards like OpenMP must evolve to include Python as a first-class language. OpenMP enables multi-threaded applications to efficiently use all CPU cores, making it essential for […]
Why 2026 Is the Year AI Has to Grow Up
I don’t have the inside scoop. If I did, I would’ve put money on the Hoosiers’ historic 16-0 season, and I definitely would’ve picked the winning numbers for Powerball’s Christmas Eve jackpot. I’d also be able to tell you what’s next for AI this year. Truth be told, no one knows for sure. All I […]