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AI Computers

Where the agents actually live

Agent Hub routes work to deskside NVIDIA machines built for agents: DGX Spark for private always-on staff, DGX Station when you need a data center on the desk.

Desktop agent computer

DGX Spark

A 15 cm cube for always-on local agents. Private prototyping, air-gapped work, and small swarms.

GB10 Grace Blackwell
~1 PFLOP FP4 · 128 GB unified
Up to ~200B (two Sparks ~405B)
ConnectX-7 · $4,000–$4,700
8–24 parallel light agents

Deskside data center

DGX Station

A data center on the desk. Hundreds of parallel agents, MIG slices, models approaching a trillion parameters.

GB300 Ultra
~20 PFLOP FP4 · ~748 GB coherent
Up to ~1T parameters
ConnectX-8 · Data-center class
Hundreds in parallel

Windows AI PC

RTX Spark / N1X

Same Grace Blackwell family, aimed at creators who want agents inside a normal desktop OS.

Grace Blackwell (consumer)
Workstation class · Unified, PC-class
Local studio models
Optional peer · Consumer / creator
A personal staff

Capacity planner

Rough seats, not a quote. Light agents are chat and routing. Research is long context. Swarm is many specialists on one product.

~10 concurrent agents · ~128 GB coherent memory

Register a node

Prototype registry. Production would SSH or call the node API. Air-gapped nodes stay local and never leave your desk.

The stack on the box

Sparks run DGX OS with CUDA, vLLM or TensorRT-LLM, and an agent toolkit (NemoClaw / OpenShell class). Stations add MIG slices and Kubernetes so a swarm can be scheduled like a small cluster. Hub Agent can treat a registered node as a bridge: private inference first, SuperPOD later.