WHAT WE CAN BUILD
A concrete starting point.
- Component planning
- Assembly
- Workload benchmarks
Your discovery brief defines the systems, volume and deliverables for the first release.
A CAPABILITY. BUILT AROUND YOU.
GPU workstation builds
Assemble a machine around the actual AI or creative workload.
Every service starts with a 30-minute discovery meeting. Bring your goals; we’ll shape the first scope together.
WHAT WE NEED
Your context makes it work.
- The workloads and performance targets
- Space, power, cooling, network and access details
- Hardware budget and operating responsibilities
ACCEPTANCE & HANDOVER
Evidence at the finish.
- The agreed workload runs at the measured baseline
- The system survives restart and recovery tests
- The owner receives access and operating documentation
CLEAR SCOPE
Agree it before we build it.
Hardware, site works, travel and external licenses are identified explicitly. On-site geography and readiness are confirmed during discovery.
Start with a fixed-fee milestone. Add a care, build or operations plan when the work continues.
Explore ongoing plansCONNECTED CAPABILITIES
Build the surrounding system.
Hardware & infrastructure
Racks & server deployment
Bring compute, networking and operating environments together.
- Rack layout
- Server installation
- Deployment checks
Hardware & infrastructure
Linux, drivers & containers
Create a repeatable foundation for model and application workloads.
- Operating system setup
- GPU drivers
- Container images
Hardware & infrastructure
Networking & remote access
Connect users and systems with defined access boundaries.
- Network design
- VPN access
- Connectivity tests