Oregon-based GPU infrastructure

Dedicated compute.
Built around your workload.

Private, high-memory NVIDIA systems for teams building AI—without shared queues, disposable environments, or another cloud setup project.

Dedicated accessPersistent environmentsHands-on support
NODE / XM-01 ACCEPTING PILOTS
MEMORY96 GB
MODEDEDICATED
ACCESSREMOTE
PRIVATE ENVIRONMENTOPERATOR SUPPORTED

Infrastructure that stays ready
when your work gets serious.

Xamirai provides a private machine, a persistent environment, and a real person who helps get the workload running. You bring the model or computation; we remove the infrastructure friction.

One system.
The work that matters.

01

Model development

A persistent environment for training, fine-tuning, and rapid iteration without rebuilding your stack between runs.

02

Evaluation

Run longer benchmarks, high-memory tests, and repeatable experiments without competing for a shared queue.

03

Inference

Keep models and services available in a dedicated environment for demos, internal tools, and production-minded pilots.

A machine that is
actually yours to use.

No spot interruptions and no mystery neighbors. Your pilot runs on a dedicated GPU node with a persistent software environment configured around the work.

  • 01 Secure remote access
  • 02 Container and framework setup
  • 03 Persistent project storage
  • 04 Direct operator support
DEDICATED NODEXM-01
High-memoryRTX PRO 6000
GPU1× NVIDIA RTX PRO 6000
Memory96 GB GPU memory
AccessDedicated, remote
EnvironmentPersistent

Best suited to memory-heavy models, long-running evaluation, and persistent inference services.

DEDICATED NODEXM-02
ConfigurableRTX 5090
GPU1× or 2× RTX 5090
Memory32 GB per GPU
AccessDedicated, remote
EnvironmentPersistent

The 2× configuration uses two independent 32 GB memory pools and requires a workload that supports multi-GPU execution.

01

Start with the workload

We scope the model, memory needs, environment, data, and success criteria before recommending a setup.

02

Make the environment durable

Your dependencies, files, and configuration remain in place so the next session starts where the last one ended.

03

Keep support close

You work directly with the operator responsible for the machine—not a ticket queue separated from the hardware.

Bring one real workload.

We’ll define a bounded pilot, prepare the environment, and prove the fit before discussing anything longer term. Pilots exclude regulated or highly sensitive data unless explicitly approved.

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