Private AI Infrastructure. On Hardware You Own.
We help founders, CTOs, and infrastructure leaders measure real workloads and deploy AI systems that run entirely inside their own network. No platform bias. No resale agenda.
Headquartered in Boston, GPUNexus was founded by an infrastructure operator and enterprise dealmaker who has spent years working with NVIDIA HGX/SXM capacity from Hopper H100 through Blackwell B200/B300, and scaling AI workloads for teams across the GPU market.
What we do
We design and deploy on-premises inference systems on NVIDIA DGX Spark and RTX PRO hardware, running frontier open-weight models locally. No cloud API calls. No third-party retention. Nothing leaves your network. When a client needs specific GPU hardware, we source it directly without a reseller markup steering the recommendation.
Why this matters now
Cloud GPU capacity is tight. Reserved lead times have stretched, minimum commitments keep growing, and the instance type you want is often unavailable in the region you need it. At the same time, most teams overestimate what their workload actually requires. A model serving an entire legal department will frequently run on a single on-prem node that costs less than a year of reserved cloud capacity. You do not need a large cluster to run frontier open-weight models. You need the right box, sized against measured throughput.
That is the whole method. Measure the real workload, then buy exactly what it needs.
GPUNexus exists because the market is fragmented and biased, and buyers are forced into high-stakes decisions with incomplete information. We operate independently, with no allegiance to any vendor or platform.
- Recommendation Source
- The Workload
- If One Box Works
- Use One Box
- If It Doesn't
- Scale with Measured Data
- Where Your Data Sits
- Your Hardware, Your Network
- Vendor Allegiance
- None
- Location
- Boston HQ
- Direct Contact
- [email protected]
How We Operate
Zero Vendor Kickbacks
We do not take cloud commission markups or hardware kickbacks that distort recommendations. Advice is driven by measured benchmark data.
Measure Before Capital Commitment
No team should sign a $50K purchase order or a $100K cloud commitment based on synthetic marketing slides. We run your real workloads first, usually inside 30 minutes.
Your Data Stays Yours
Deployments run entirely inside your network. No cloud API egress, no vendor training on your documents, no retention you did not approve.
Direct Hardware Sourcing
We locate the specific NVIDIA hardware a deployment needs, including HGX/SXM systems and ConnectX interconnect, without a markup shaping the advice.
Evaluating Your Options?
Speak directly with an operator about your workload or a private on-prem deployment.