Mirai

🔥 Torching money on cloud inference? There’s a better way. Run the world’s top AI offline: fast, private, production-ready. You don’t need an ML team. One dev, 8 lines of code & LFG 👉 github.com/trymirai/uzu

Cloud inference is burning your money. Run top AI models locally on iOS/macOS — No latency. No data leaks. No infra drama. One dev. 8 lines of code. 👉github.com/trymirai/uzu

Run the world’s top AI models locally (iOS/macOS). Zero latency. Full data privacy. No inference costs. No ML team needed. One dev. Minutes to production. 👉 trymirai.com

Part 4: Brief history of Apple ML Stack Let's dive into how they pulled this off and what makes Apple's approach to AI unique in today's landscape. 👉 Read more at trymirai.com/blog/brief-his…

Part 3: iPhone Hardware and How It Powers On-Device AI We broke down Apple’s hardware secrets and why it’s the perfect machine for on-device models. 👉 Read more at trymirai.com/blog/iphone-ha…

Part 2: How to Understand On-Device AI There are unlimited use cases across almost every domain and every app that can be solved more effectively using AI. 👉 Read more at trymirai.com/blog/how-to-un…

Part 1: Introduction to Deploying LLMs on Mobile In this series of posts, we will discuss the hardware and software stacks of modern mobile platforms, covering nuances of efficiently running modern LLMs. 👉 Read more at trymirai.com/blog/deploying…