Private Local AI Infrastructure. On Hardware You Own.

From a single DGX Spark on a desk to a private multi-node cluster, your documents never leave the building. We help founders, CTOs, and infrastructure leaders measure real workloads and deploy AI systems that run entirely inside their own network.

About GPUNexus

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.

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.

Our Core Offerings

• Test a Model: 30 minutes of access to Open WebUI backed by vLLM running GLM 5.2, DeepSeek V4 Flash, or Qwen3.6 27B.
• Private AI Assessment: Measure actual prompts, throughput (tokens/sec), latency, and concurrency on local hardware.
• Hardware Deployment: NVIDIA DGX Spark ($6,500), Dual/Quad Spark links, RTX PRO 6000 workstations, and private clusters.
• Custom Agents & Fine-Tuning: On-premises autonomous agent routines and weight training with 100% weight ownership.

© 2026 GPUNexus.ai LLC · Headquartered in Boston, MA · Direct Contact: [email protected]