local deployment

3 stories filed under local deployment on Beyond Market Intelligence. The newest of them: “Five Self-Hosted Docker Tools That Keep Your Developer Data Local”, “Meet Intern-Decision: Smarter choices, 30 FPS, and multimodal by design”, and “Explore practical resources to master small language models”. If you're feeling constrained by traditional spreadsheets, it's time to explore a solution that empowers your data journey. The Intern-Decision model family lands with a clear message: smarter choices shouldn't require a supercomputer. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every local deployment story on Beyond Market Intelligence, newest first.

Five Self-Hosted Docker Tools That Keep Your Developer Data Local
KDnuggets

Five Self-Hosted Docker Tools That Keep Your Developer Data Local

If you're feeling constrained by traditional spreadsheets, it's time to explore a solution that empowers your data journey. Claude Haiku 5.5 now offers a smarter way forward, cutting list prices by 90% while adding adaptive thinking and a 1M token context window. That's faster workflows without the complexity. Discover how AI can transform your spreadsheet experience, making complex tasks simpler and more intuitive, because your tools should work for you, not the other way around.

Meet Intern-Decision: Smarter choices, 30 FPS, and multimodal by design
Machine Learning

Meet Intern-Decision: Smarter choices, 30 FPS, and multimodal by design

The Intern-Decision model family lands with a clear message: smarter choices shouldn't require a supercomputer. At 0.8B, 2B, and 4B parameters, the 4B model edges out Jev 1.13.0, and on an RTX 4090, it hits roughly 30 FPS for decision calls. That speed opens real room for interactive applications. What stands out is the calibration work. The team built a benchmark around classic probability problems, like the Monty-Hall dilemma, and found their model tracks the golden distribution more closely than the competition.

Explore practical resources to master small language models
KDnuggets

Explore practical resources to master small language models

Small language models are quietly reshaping what's possible for data professionals, and this guide cuts straight to the resources that matter. We've curated five essential reads that cover architecture, fine-tuning, agentic workflows, and local deployment, giving you a practical path forward without the fluff. If you're ready to move beyond theory, these picks will help you build real skills. For a deeper look at how AI systems truly behave, our piece on talking to an AI clone offers a thought-provoking companion.