Anaconda

Anaconda Platform keeps a record of every execution, allowing you to reopen past runs, inspect the artifacts they produced, and quickly validate results. When you’re ready for production, you can deploy the same workflow on a schedule with a single command, including its dependencies, container images, and secure data connections. Watch the full demo: https://bit.ly/4qY6T6e

🔎 Seeing an AI model in production isn’t the same as understanding how it got there or why it made a decision. New Omdia research commissioned by Anaconda surveyed 500 IT leaders across North America and the UK. We discovered that only 17% have a unified AI observability strategy spanning teams, infrastructure, and governance. Read our full report to discover how you can benchmark your maturity, uncover lifecycle visibility gaps, understand hidden integration costs, and learn how peers evaluate observability partners → https://bit.ly/4qT5u0B

We have a confession… For National Coding Week, we’re owning up to some of the workflow problems standing between developers and faster AI innovation. 🔄 The dependency conflict that ate an afternoon ⚠️ The package you trusted a little too quickly ⛓️💥 The prototype that worked perfectly… until production What’s your coding confession? Tell us below ⬇️

Last week NVIDIA announced their acquisition of Hugging Face after a couple of weeks of speculation. This news led me to reflect on both it and Stripe's acquisition of OpenRouter about two weeks prior as together that is $20.4B between the two acquisitions. I shared with VentureBeat that this signals the impact and reach of open weights AI models as they can now rival frontier AI lab models. OpenRouter and Hugging Face have played a critical role as the AI infrastructure unlocking model choice for builders around the world. At Anaconda we believe that choice is critical to unlock AI for all and model freedom is how to best do this. Builders having choice unlocks innovation and that’s why we provide access to over 500 AI models from open weights to frontier AI lab models.  Thank you to Carl Franzen for reaching out. You can read the full article here: https://lnkd.in/dQWPZyvn

Setpoint is modernizing asset-backed lending with advanced optimization, LLMs, OCR, and NLP — while Anaconda AI Orchestration provides the scalable compute behind the scenes. The impact: → 80% less time managing infrastructure → 3X faster ML workflow deployment → Automated cloud infrastructure management at scale Setpoint’s team now spends less time managing infrastructure and more time improving capital efficiency, compliance, and credit operations. See how they’re building a smarter credit system with machine learning: https://bit.ly/3SHHl0s

Notebook → workflow → cloud, with the same code and environment. This walkthrough shows the developer experience in the Anaconda Platform: declare dependencies, work in a browser workstation or remote VS Code session, and package the environment into a container image for cloud execution. The result: consistent dependencies and security from development to production, plus a full audit trail of every run. Watch the full demo: https://bit.ly/4qQT5Ky

AI prototypes are easy to celebrate, but they often don’t face the toughest questions until they enter production. Where do your agents run? What can they access? How do you keep token costs from spiraling as adoption grows? At Anaconda Scale, our leaders and customers will share what they’ve learned putting enterprise AI into practice. Discover actionable insights across agent security, model flexibility, cost control, and what’s ahead for the Anaconda Platform. Register to join us on October 15: https://bit.ly/3VbmYta

AI coding assistants are becoming table stakes. How well engineering teams can orchestrate, supervise, and govern them at scale is the next frontier. The new Gartner® Cool Vendors™ report evaluates four vendors, including Kilo, and identifies five value paths shaping AI-native software engineering through 2030. See why agent transparency, governance, and orchestration are becoming critical, and how Kilo + Anaconda bring agentic speed and governed environments together: https://bit.ly/4uowaXv

“Your agent can either have access to internal data or external comms, not both.” Anaconda VP of Engineering Emilie Schario recently joined AuthZed’s base-layer podcast to unpack multi-model AI, measuring AI ROI, and the guardrails that matter as agents gain more autonomy. Listen to Emilie’s full perspective on responsible AI-native engineering 🎧 https://bit.ly/4xxJJ9d

I’m excited to announce that NVIDIA has agreed to acquire Hugging Face. Over the past decade, the Hugging Face team has built something remarkable: a vibrant home for the open model developer community. More than 18 million 🤗 developers, researchers and creators use its platform to share models, datasets and applications, while companies around the world use it to discover, evaluate, customize and deploy AI. Together, we will scale Hugging Face’s platform, strengthen its infrastructure and expand access to AI for developers and institutions worldwide. Hugging Face will remain an open platform for the entire AI ecosystem. Developers will continue to choose the models, frameworks, clouds, inference providers and computing platforms that best fit their work. NVIDIA compute will not be required to build on or deploy through the platform. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI.    AI advances faster when people can build together. We can’t wait to build the future with this extraordinary community.  https://lnkd.in/gE765Fwq