Episode Overview
Podcast: Reshaping Workflows with Dell Pro Precision and NVIDIA RTX PRO GPUs
Episode: Live from GTC: Powering AI Development with Anaconda CEO David DeSanto
Host: Logan Lawler
Guest: David DeSanto, CEO of Anaconda
Date: March 17, 2026
This episode, recorded live from NVIDIA GTC 2026, features a conversation between host Logan Lawler and David DeSanto, CEO of Anaconda. Together, they discuss Anaconda’s evolving role in AI development, new tools being launched, and how Dell Pro Precision and NVIDIA RTX PRO GPUs are shaping the future of workflows for both technical and non-technical users. The episode dives into Anaconda’s ecosystem, enterprise adoption challenges, and how new hardware advances are accelerating AI innovation.
Key Discussion Points & Insights
1. Introduction to Anaconda & David DeSanto’s Role
- [00:19] Logan introduces David DeSanto and asks about his background and responsibilities as Anaconda’s CEO.
- David recently joined Anaconda after six years at GitLab.
- Anaconda supports companies in developing AI-native applications, from the initial stages to production.
- Quote:
"Anaconda is focused on helping companies build AI native applications. We do this through our AI platform, which supports AI native development starting at the beginning of development, all the way out through production." — David DeSanto [00:37]
2. Anaconda’s Core Products Simplified
- [01:19] Logan requests a high-level overview for less technical listeners.
- Anaconda Core: Secure Python-based AI/data science packages. Key for IT teams focused on governance and vulnerability management.
- AI Catalyst: Curates, tests, and catalogs open-source AI models with security and performance benchmarks. Models are offered in various quantization sizes for local or production use.
- Hardware Bridge: Anaconda supplies essential CUDA packages for NVIDIA GPUs enabling streamlined development.
- Quote:
"Anaconda Core is at the beginning of your development and AI Catalyst is helping you get ready to move into production...we provide all the CUDA packages for NVIDIA for their GPU. So if you’re doing development on NVIDIA GPU, you’re most likely using Anaconda." — David DeSanto [01:19–02:45]
3. What’s New at GTC 2026
- [03:09] Logan asks about Anaconda’s announcements at GTC.
- DGX Spark Integration: Enhanced support for the NVIDIA DGX Spark “AI supercomputer.” Anaconda is debuting an alpha version of its new desktop app running atop the Spark.
- AI Catalyst Maturity: Expanded model onboarding, including allowing users and commercial partners to bring their own models.
- Quote:
"We are launching our alpha version of our new desktop, and that's what’s running on top of the DGX Spark in our booth...The continued maturity of AI Catalyst—we’re looking to begin to allow others to bring their own models in." — David DeSanto [03:09–03:59]
4. The New Anaconda Desktop & Dell Pro Precision Integration
- [04:11] Discussion of Anaconda’s evolving desktop suite and its interaction with emerging hardware like Dell Pro Max with GB10 and Grace Blackwell Architecture.
- The new Anaconda Desktop merges features of the earlier Navigator and AI Navigator apps.
- Launch Timeline: Beta release in May, free for all users.
- Functionality includes bundled Conda packages, local inference/deployment, and connections to the full Anaconda platform.
- Hobbyists and enterprise users alike can leverage these tools, with enhanced features for subscribers.
- Quote:
"It actually takes the best of both those applications, brings it into a single application, and then you can use it, whether it’s local or you can connect it to your platform...All of our desktop applications are free." — David DeSanto [04:11–05:16]
5. Real-World Impact: Bridging AI’s Adoption Gap
- [05:46] David underscores the challenges enterprises face getting AI projects into production (as many as 80% don’t make it there).
- Anaconda aims to provide the missing link connecting an idea to a production-grade AI application.
- He encourages listeners to visit Anaconda’s online resources and event booths to see their tools in action.
- Quote:
"AI has been a really hard thing for some enterprises to adopt. Lots of reasons, that's what we’re here to solve...Anaconda is here to help that and help you bridge that gap." — David DeSanto [05:46–06:20]
Notable Quotes & Memorable Moments
- On the value proposition:
"We provide all the CUDA packages for NVIDIA for their GPU. So if you’re doing development on NVIDIA GPU, you’re most likely using Anaconda." — David DeSanto [02:39]
- On democratising access:
"All of our desktop applications are free...you can deploy Anaconda local inference, so you can run the models right there as well." — David DeSanto [04:40]
- On AI's adoption challenge:
"If you’re needing to get from an idea to AI to an actual production application, which 80% of those projects don’t make it to production, Anaconda is here to help that and help you bridge that gap." — David DeSanto [06:00]
Important Timestamps
- 00:19 – Introduction to David DeSanto and Anaconda’s mission
- 01:19 – Breakdown of Anaconda Core and AI Catalyst for broad audiences
- 03:09 – GTC 2026: New product launches and model expansion
- 04:11 – New Anaconda Desktop, integration with Dell and NVIDIA hardware
- 05:46 – The enterprise AI production gap and Anaconda’s role in solving it
Resources Mentioned
- Find out more about Anaconda: anaconda.com
- Check Anaconda’s blog, YouTube channel, and visit them at major IT events for demos.
Summary Takeaway
In this concise but insightful episode, Logan Lawler and David DeSanto shine a light on how Anaconda—powered by advanced Dell and NVIDIA hardware—is making AI development smoother and more accessible for everyone from enterprise IT teams to solo practitioners. With fresh tools, partnerships, and a focus on real-world adoption, Anaconda is positioning itself as the connective tissue in the evolving AI landscape.