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
100% Apple-native LLM training for your entire Mac fleet.
Fleet Command Armada is the flagship AI training platform from Molding Angel L.L.C., built for teams that need private, high-throughput model training without cloud cost volatility.
Armada turns M-series Macs into one coordinated training system. No server racks, no dependency chaos, and no heavy platform overhead. It is built exclusively for Apple Silicon and MLX so teams can iterate faster with direct control.
- • 100% Apple-native architecture built solely for Apple Silicon and MLX acceleration.
- • Designed for non-coders and innovators, enabling anyone to train specialized models without touching a terminal.
- • Orchestrates every Mac in your fleet, distributing tasks, data, and training runs from a single command center.
- • Keeps your data and models private — everything runs locally on your hardware.
- • Eliminates cloud training costs by turning the equipment you already own into a coordinated AI super-trainer.
- • Train your LLM Specifically on what you want!
Patent-Pending under Molding Angel L.L.C.
Fleet Command
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.
Satellite Node Agent
A lightweight macOS worker that transforms each Mac 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
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
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.
Why Armada Changes Everything
Fleet Command Armada is built for organizations that want direct ownership of model training capacity, data, and execution speed on infrastructure they already control.
Your Data Never Leaves Your Facility
Private training means your intellectual property, sensitive data, and proprietary workflows stay under your control at all times. No external servers. No third-party model exposure.
A Supercomputer You Already Own
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.
No DevOps. No Python Chaos.
Armada removes the entire stack of traditional ML infrastructure — no conda, no containers, no dependency conflicts. Just install, connect, train, and measure results.
Made for Innovators, Not Only Engineers
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.
The First True Apple-Native Trainer
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.
The result is simple: private model creation, lower operating cost, and faster iteration on Apple-native hardware.
Fleet Command Fit Guide
Armada vs Solo at a Glance
| Category | Fleet Command Armada | Fleet Command Solo |
|---|---|---|
| Primary deployment | Distributed multi-machine Mac fleet | Single Apple Silicon machine |
| Best fit | Organizations scaling custom model training capacity | Teams validating workflows and running focused local training |
| Operations model | Central command + Satellite node orchestration | Direct local control with simplified setup |
| Expansion path | Maximum fleet throughput and parallel workload management | Upgrade-ready path into Armada when scale demands grow |
Frequently Asked Questions
Fleet Command Armada FAQ
Who should use Armada?
Teams that need private, high-throughput LLM training across multiple Apple Silicon systems with central orchestration.
How is Armada different from Solo?
Armada is multi-machine by design; Solo is streamlined for one system and fast local experimentation.
Do we need cloud GPUs?
No. Armada is 100% Apple-native and built for on-prem or local infrastructure using your own Mac hardware.
Plan Your Armada Rollout
Get a deployment plan covering hardware layout, workload profile, and migration from current training workflows.