//Distributed AICompute

How It Works

How Multiple Computers Work Together

Each machine runs a Node Agent. A centralized controller keeps track of who is available and what they can do. A distributed runtime executes inference across the selected machines, and results return through a single API.

Coordination

From Isolated Machines to One Cluster

WITHOUT COORDINATION

PC 1 → AI     (own model, own state)
PC 2 → AI     (own model, own state)
PC 3 → AI     (own model, own state)

No shared scheduling.
No shared health view.
No shared API.
WITH THE PLATFORM

        Application
             │
      OpenAI-Compatible API
             │
      Cluster Controller
        ┌────┼────┐
        ▼    ▼    ▼
      PC 1  PC 2  PC 3
        └────┼────┘
             ▼
     Distributed Runtime

Hardware

Built for Heterogeneous Hardware

Cluster nodes do not need identical specifications. The controller maintains hardware and resource information and uses node capabilities as part of scheduling and orchestration.

Node 01

ONLINE
CPU
Intel i5
RAM
16 GB
GPU
RTX 3050
VRAM
4 GB

Node 02

BUSY
CPU
Intel i5
RAM
16 GB
GPU
RTX 3060
VRAM
12 GB

Node 03

READY
CPU
Different CPU
RAM
Different
GPU
Different
VRAM
Different

Hardware combinations are not automatically compatible. Compatibility depends on the distributed runtime, model format and workload configuration.

Lifecycle

From One Computer to a Cluster

Nodes can join and leave the cluster independently.

  1. 01

    1 COMPUTER

  2. 02

    Install Node Agent

  3. 03

    Node Registers

  4. 04

    Cluster Starts

  5. 05

    2nd Computer Added

  6. 06

    3rd Computer Added

  7. 07

    5+ Computers

  8. 08

    Capacity Grows

Build Your Own AI Compute Cluster

Connect your machines. Deploy the Node Agent. Start the controller. Build a distributed AI environment around the hardware you already have.

Download Node AgentExplore ArchitectureView DocumentationGitHub