DEDICATED GPU INFRASTRUCTURE · PACIFIC NORTHWEST
Profitable inference on owner‑operated NVIDIA infrastructure.
Dedicated RTX PRO 6000 Blackwell capacity for teams that have outgrown on-demand cloud pricing but aren't ready for hyperscaler commitments. Reserved bare metal and managed endpoints, run by the engineer who racks the hardware.
OFFERINGS
Two ways to buy the same disciplined fleet
Every node exists because a customer committed to it. Capacity is deployed against signed demand, never speculation — which is why the fleet stays dedicated, current, and priced predictably.
Take-or-pay reserved capacity
Dedicated bare-metal nodes and racks under a reserved-capacity agreement. Your workload never shares silicon.
- Whole-card passthrough or MIG slices
- Contract-backed SLAs
- Root on your nodes — bring your own stack
Managed inference endpoints
OpenAI-compatible endpoints served from the same fleet, for teams that want tokens rather than machines.
- Per-token or per-GPU-hour pricing
- Served with TensorRT-LLM
- Right-sized to your model via MIG
INFRASTRUCTURE
The stack, as a spec sheet
Single SKU, repeated deliberately. One proven node design means every deployment behaves like the last one — tuned, measured, and boring in the way infrastructure should be.
| GPU | NVIDIA RTX PRO 6000 Blackwell Max‑Q96 GB GDDR7 with ECC · 300 W · MIG-capable |
|---|---|
| NODE PLATFORM | High-density AMD EPYCPCIe Gen5 · tuned NUMA / IOMMU topology |
| PARTITIONING | Whole-card passthrough or MIGHardware-isolated fractional GPUs matched to the workload |
| RACK | ~20 kW · four nodesThe rack is the atomic unit of growth |
| FACILITY | Tier III colocation — Hillsboro, OregonPacific Northwest industrial power economics |
| DEPLOYMENT MODEL | Demand-anchoredHardware is ordered against committed revenue, never speculation |
WHY US
Systems depth generic clouds don't have
The margin in inference lives below the driver. We do the tuning work that large clouds staff whole teams for — and it shows up as more tokens per watt and per dollar.
Kernel- and driver-level engineering
Custom GPU kernel-module builds and PCIe peer-to-peer enablement on EPYC platforms — measured on hardware, not assumed.
Topology tuning
NCCL, NUMA, IOMMU, and hugepage configuration validated per node design, so multi-GPU workloads run at the interconnect's actual limits.
Right-sizing with MIG
Hardware-isolated fractional GPUs sized to your model — a capability consumer-card fleets can't offer at all.
Engineer-direct operations
Operated by a principal-level infrastructure engineer with regulated-exchange and multi-site GPU-fleet experience. You talk to the person who racks your hardware, not a ticket queue.
PROCESS
From conversation to capacity
Because hardware follows demand, the sequence is fixed — and every step exists to protect your economics as much as ours.
Scope the workload
Models, throughput targets, isolation needs. We size nodes or MIG slices against real numbers.
Reserve capacity
A take-or-pay agreement locks pricing and commits the hardware to you.
Hardware ordered & racked
Your nodes are built, burned in, tuned, and benchmarked in our Tier III facility.
You ship
Bare-metal access or live endpoints, with the operator one message away.
CONTACT
Tell us what you're running.
A model name and a monthly token or GPU-hour estimate is enough to start. You'll get a straight answer on fit and a number — usually within a day.
sales@holosteric.com