Developers & AI Teams
You could build this yourself — that's exactly why you'll appreciate what's already built. Real NVIDIA silicon, a documented image, local models running on arrival, and full owner control: no telemetry, no data agreement, no rented GPU meter.
The problems this solves
- Cloud GPU meters punish iteration; shared endpoints leak context
- DIY Jetson and DGX setups burn weekends on drivers, images, and recovery
- Client work and unreleased ideas don't belong on third-party infrastructure
Three workflows it does today
- Run and swap local models (Gemma-class on Edge; much larger on Spark) with a documented, recoverable image
- Build private RAG over your own docs, ADRs, and notes — then query them from your phone
- Develop and test agent workflows in sandboxed configurations you approve
Which system fits: Edge (8GB $999 / 16GB $1,999, Jetson Orin) for edge AI and personal workloads; Spark ($6,999, DGX Spark, 128GB unified memory) for large local models and development. Spark Duo for team infrastructure, by consultation.
Included vs. professional services
Included with the system
- Versioned, documented system image with factory recovery
- JetPack stack configured; Hermes + optional OpenClaw
- Full owner access — it's your hardware
- 1-year hardware warranty
Available as a one-time service
- Custom Engineering — private RAG, pipelines, automations
- Spark Business Deployment
- Owner-authorized remote operations
See your field in detail: Developers & AI engineers · Robotics & labs · IT consultants & MSPs · Homelab · all 30 professions
Comparing against building it yourself? Fair fight: see the comparisons.