For AI startup teams
Blackwell workstations

In-house training & inference

Scope the workstation around the run.

Helmstone’s W1, W2, and W4 pair NVIDIA Blackwell accelerators with different workstation configurations. Start with your model, workload shape, and expected run duration; use those details to decide which system to discuss.

W4 is quote-only. Its up-to-72-hour frontier-training duration is a target workload; liquid-loop validation is ongoing and a canonical burn-in is not yet published.

Blackwell lineup

Three workstation classes, different workload envelopes.

Compare the accelerator configuration and the evidence currently published for each tier. Published W1 measurements describe the W1 workload only; they are not results for W2 or W4.

Single-GPU workstation

Helmstone W1
1× NVIDIA RTX 5090 · 32 GB GDDR7

A single-GPU starting point for local model development, fine-tuning, and inference.

Validation status

Published 48-hour FP16 inference burn-in

Read the W1 burn-in record

Dual-GPU, air-cooled system

Helmstone W2
2× NVIDIA RTX Pro 6000 · 96 GB GDDR7 each

A dual-GPU option for multi-day inference and workloads that need more GPU memory.

Validation status

Canonical burn-in not yet published; thermal validation is in progress.

Check per-tier benchmark status

Four-GPU, liquid-cooled system

Helmstone W4
4× NVIDIA B200 · 192 GB HBM3e each

The lineup’s frontier-training target, with a multi-GPU allreduce workload in scope.

Validation status

Canonical burn-in not yet published; liquid-loop validation is in progress.

Review the W4 configuration and status

Sustained workload planning

Include the conditions that shape a long run.

A short peak test does not describe how a system behaves through an extended job. When you compare workstation options, consider the workload and batch shape, expected run duration, thermal approach, and available facility power alongside accelerator specifications.

Helmstone’s published W1 record reports a specific 48-hour FP16 inference burn-in. W2 and W4 do not yet have published canonical burn-in results, so do not use the W1 record as evidence for either configuration. W2 is in thermal validation; W4 is in liquid-loop validation.

Review per-tier benchmark status

Next step / W4 quote-only

Bring the workload and deployment context.

The quote form can start with W4 selected and lets you identify your buyer use case, describe the workload, and share expected run duration and procurement timing. A request opens a configuration and commercial review; it is not a checkout.

Request a W4 quote