How to Reclaim Disk Space with Conda Clean
When was the last time you checked how much disk space conda is using? If you’re like many developers, the answer is probably “never.” Conda just works, environments spin up when you need them, and you don’t really think about what’s happening behind the scenes. Or maybe you’ve noticed your conda installation has grown larger […]
Are There Good and Bad AI Models?
As local AI model deployments become more common, model safety is rightfully called into question. Is this model safe? Is it good? Is it bad? The answer is more nuanced than you might think. Anaconda has a lot of experience here, since we’ve been building and securing open-source artifacts for years. In some ways, generative AI […]
Model Curation: Breaking the Bottleneck in Enterprise AI Deployment
The pressure is on, and the assignment is clear: Build with AI, and do it faster than your competitors. But before you can build anything, you need to answer a fundamental question: Which AI models should power your applications? This is where most enterprises hit their first roadblock. Public repositories have more than 2 million […]
Building Actuarial Analytics with Snowflake and Anaconda
Data practitioners in enterprise environments regularly face workflows that require extracting, processing, calculating, ingesting, and analyzing data. These activities appear across different shapes and sizes in data science, data engineering, and machine learning (ML) engineering work. This blog illustrates a common real-world example from the insurance industry and provides a step-by-step solution. In this post, […]
Small Language Models: The Efficient Future of AI
Large language models (LLMs) like GPT-4 from OpenAI and Claude Opus from Anthropic have captured headlines with their impressive capabilities, but they come with significant computational demands and deployment challenges. Training an LLM from scratch is out of reach for most organizations. But even if you fine-tune an open source LLM like Llama 3.1 405B, […]
Focusing Our Future: Changes to Anaconda’s R Channel Support
For over a decade, Anaconda has been committed to supporting data scientists across multiple programming languages. Today, we’re announcing an important change to how we prioritize our resources: Effective November 4, 2025, Anaconda will deprecate the R channel and discontinue active maintenance. This decision allows us to focus our engineering resources on delivering the best […]
Stop Buying AI Tools: Why Process Beats Technology Every Time
This article is excerpted from “AI Essentials for Tech Executives: A Practical Guide to Unlocking the Competitive Potential of AI” by Hamel Husain and Greg Ceccarelli, published by O’Reilly Media, Inc., 2025. Reproduced with permission. One of the first questions I ask tech leaders is how they plan to improve AI reliability, performance, or user […]
State of Data Science and AI: How Companies Are Moving Ahead (Or Not) in the AI Race
Fewer than one in four companies—only 22%—consider their AI deployment as strategic. That’s according to the respondents of our State of Data Science and AI survey. An unclear or absent strategy can limit how productive artificial intelligence (AI) initiatives become. However, we’re seeing progress toward those strategic approaches. In particular, there’s a varied mix of […]
Python 3.9 Reaches End-of-Life
As part of the official Python support cycle defined by the Python Software Foundation (PSF), Python 3.9 is reaching its scheduled end-of-life in October 2025. Following this upstream timeline, Anaconda will stop building new packages for Python 3.9 in our main channel of the Anaconda Distribution. Important: All existing Python 3.9 packages will remain available […]
Python on NVIDIA DGX Spark: First Impressions
There has been a lot of excitement and anticipation this year for the official release of the NVIDIA DGX Sparkâ„¢. First announced at NVIDIA GTC 2025 in March, the DGX Spark is a small form factor desktop computer that I think will change the CUDA ecosystem dramatically, especially for data scientists and AI researchers. It’s […]