We prototype AI workloads, prove their performance at scale, and map them to on-prem infrastructure.
Buy the right system once—after the workload is proven.
Real Scale Validation
AI performance claims rarely survive real scale. We test beyond the spec sheet.
Beyond Cloud Benchmarks
Cloud benchmarks don’t translate cleanly to hardware purchases. Get real data.
Risk Mitigation
Buying the wrong system is expensive and hard to reverse. Validate before you commit.
Prototype
We start with a small, controlled prototype to validate correctness, memory behavior, and throughput.
Prove at Scale
We scale the workload to demonstrate how performance changes as resources increase.
Map to On-Prem
Only after performance is proven do we translate the workload into an on-prem infrastructure design.
The Workload Comes First.
Infrastructure Follows.
For some organizations, this process shows that scale is required to achieve acceptable performance.
For others, it shows that cloud performance can be replicated more cost-effectively on dedicated hardware.
Secure, Dedicated Infrastructure
On-prem infrastructure may be deployed at a customer site or in a dedicated, professionally managed facility. Where required, systems can be fully isolated, including air-gapped deployments.
Ready to Validate Your Workload?
We engage selectively with organizations evaluating on-prem AI deployments. Initial inquiries are screened to ensure alignment.