Train Without the Cloud
Armada eliminates the overwhelming costs associated with cloud GPUs. Your Macs become your training cluster — fully owned, always available, and optimized for MLX.
INTRODUCING FLEET COMMAND ARMADA
Fleet Command Armada is the flagship AI training platform developed by Molding Angel L.L.C., designed for businesses, creators, engineers, and visionaries who refuse to be limited by cloud costs, slow training cycles, or complicated infrastructure.
Armada transforms a fleet of M-Series Macs into a unified, high-performance trainer capable of running custom LLM workloads with unprecedented efficiency and simplicity — with no Python environments, no server racks, and no DevOps teams required. Built exclusively for Apple Silicon and powered by Apple’s MLX framework, Armada delivers the world’s first truly Apple-native LLM training experience.
The command center of your entire AI fleet. Fleet Command intelligently allocates resources, balances workloads, monitors performance, and visualizes every stage of model training — giving you supercomputer-level control in a clean, Apple-native interface.
A lightweight macOS worker that transforms each Mac Mini into a dedicated MLX training engine. Satellites receive tasks, execute accelerated workloads, and stream results back to Fleet Command with remarkable speed and reliability.
Translator converts everyday language into structured, optimized training operations. It bridges human intention with machine execution — allowing anyone to direct complex LLM training workflows without scripting or engineering knowledge.
LaunchPad is where your models come alive. Test responses, evaluate accuracy, compare iterations, and prepare custom LLMs for deployment — all from one streamlined, Apple-native interface.
Fleet Command Armada isn’t another cloud service or developer tool — it represents a fundamental shift in how custom LLMs can be trained, deployed, and owned. For the first time, individuals and businesses can produce powerful domain-specific models entirely on their own hardware.
Armada eliminates the overwhelming costs associated with cloud GPUs. Your Macs become your training cluster — fully owned, always available, and optimized for MLX.
Private training means your intellectual property, sensitive data, and proprietary workflows stay under your control at all times. No external servers. No third-party access.
Fleet Command turns ordinary Macs into coordinated training engines, creating a scalable, quiet, cool-running LLM trainer right on your desk or in a small rack.
Armada removes the entire stack of traditional ML infrastructure — no conda, no containers, no dependency conflicts. Just install, connect, and train.
Whether you’re a founder, product visionary, subject-matter expert, or a small team with big ideas, Armada empowers you to train sophisticated models without needing a machine-learning background.
Built exclusively for MLX and the M-Series architecture, Armada takes full advantage of Apple Silicon’s unified memory and neural acceleration — setting a new standard for on-device AI training.
Armada represents a future where anyone can train their own AI — privately, affordably, and on hardware they already love. This is the beginning of Apple-native model creation.