GPU Compute
Workstations and multi-GPU nodes configured for training, inference, rendering, and technical computing.
Platform fit · Power and thermals · Multi-GPU topology
Enterprise compute · Portland, Oregon
Hardware that arrives ready for the work.
GPU, memory, enterprise storage, and high-speed networking—sourced, integrated, and validated as one coherent system.
One systemSpecified end to end.
Beyond component supply
Configured,
not merely supplied.
Performance depends on how every component works together. Lumi Tech aligns compute, memory, storage, networking, power, and thermals around the workload.
See how we workCore capabilities
The critical parts of enterprise compute.
Selected as a system, not as isolated line items.
Enterprise Memory
ECC memory capacity planned around processor topology, workload behavior, and future expansion.
RDIMM and LRDIMM · Capacity planning · Validated populations
Data Storage
Enterprise SSD and NVMe storage selected for sustained throughput, endurance, and serviceability.
U.2 and U.3 · EDSFF · Endurance and performance tiers
High-Speed Fabric
ConnectX adapters and network components matched to the bandwidth and latency demands of the cluster.
Ethernet and InfiniBand · Adapter selection · Topology planning
Every build starts with the workload—not the catalog.
Custom integration
From requirements to a validated system.
- 01
Define the workload
We start with the applications, data movement, scale target, and operational constraints.
- 02
Engineer the system
We turn requirements into a coherent bill of materials—not a disconnected parts list.
- 03
Assemble and validate
Components are integrated, configured, and checked for stability, thermals, and compatibility.
- 04
Deliver ready
The finished system ships documented and prepared for your deployment workflow.
Built around outcomes
Infrastructure for demanding work.
AI training & inference
Balanced GPU, memory, storage, and fabric for model development and production serving.
Technical computing
Dense compute systems for simulation, research, visualization, and rendering workloads.
Data-intensive systems
High-throughput storage and interconnects for pipelines that cannot wait on I/O.
Start with the workload
Shape the requirement.
We’ll shape the system.
Use the planner to create a concise build brief, then send it directly to our team.
Open Build Planner