On-Prem AI
Private inference, retrieval, vision, internal copilots, model sizing, and GPU infrastructure.
- AI workstations
- GPU servers
- Private data and deployment
Independent guidance for selecting, sizing, and deploying high-performance workstations, GPU servers, infrastructure, and enthusiast systems.
XPC covers consumer hardware when it earns the name—not because it happens to be popular.
Private inference, retrieval, vision, internal copilots, model sizing, and GPU infrastructure.
Engineering, development, rendering, creative production, simulation, and data workloads.
Flagship systems and components where performance, cooling, acoustics, and platform limits matter.
Start with users, software, data, and operating constraints. The component list comes after.
XPC connects specifications to the physical, operational, and financial realities of running powerful compute.
Translate model size, context, precision, and concurrency into usable accelerator capacity.
Know when one workstation is enough and when a shared server or scale-out design earns its cost.
Plan dataset capacity, scratch performance, ingest, backup, and the network paths between them.
Match edge, team, and production deployments to realistic bandwidth and topology requirements.
Account for sustained load, acoustics, room constraints, rack density, and electrical headroom.
Evaluate private-data boundaries, downtime risk, support, warranty, and component replacement.
Compare systems, components, and buying guidance for the workload you actually need to run.