AI workstations.
Built for your workload.

Custom multi-GPU AI workstations configured around your models, software, and data. High VRAM, stress-tested for sustained performance, and supported by the team that built them.

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Explore Systems

Select a category to view configurations optimized for your workload.

Workstations

Starting at
$3,999

Servers

Starting at
$30,500

Trusted by Leading AI Teams

From breakthrough startups to research labs, universities and state departments, we power projects that automate and simplify your own workflow. Building every system for max GPU throughput, stability, and predictable delivery timelines.

Expert guidance

Need Help Choosing The Right System?

Tell us what you need to run. The engineer who builds these will review your workload and recommend a workstation or server configuration that fits your software, performance needs, budget, and timeline.

Get Expert Guidance
No obligation. Just expert help from our team.

What we review

Workload and software
Workstation or server fit
GPU, CPU, memory, storage, and cooling
Budget, timeline, and procurement needs
Built to order
Tested before shipment
Supported by our in-house team

We Design AI workstations for how professionals actually work.

Make Real Time Changes With No Work Queues

Run LLM's locally with immediate response times, full data privacy, and no dependency on external services. Your workflow stays uninterrupted. Inference runs alongside everything else on your desk.

PyTorch ResNet-50 Training Time

Training speed at 100 epochs
Novatech RTX PRO 6000
20min
RTX A6000
35min
RTX A5000
45min
Shorter is better

Custom built for peak performance

Every Novatech system is hand-built, thermally optimized, and stress-tested under real HPC workloads before it leaves our lab. Your system arrives ready to integrate into your pipeline and deliver full-speed performance without break-in periods or troubleshooting.

PO & GSA welcome
Net terms
University & government procurement
Financing available
WHAT DO YOU NEED?
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Reply within 1 business day