3RTechnology designs, procures, and manages high‑performance GPU compute infrastructure for AI and machine‑learning workloads. It provides end‑to‑end services—including architecture design, NVIDIA hardware integration, turnkey installation, and ongoing monitoring and support—for enterprises, research institutions, and creative studios.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations that need to run large‑scale AI and machine‑learning workloads often lack on‑premise GPU compute capacity, expertise in HPC architecture, and reliable maintenance services, which leads to project delays and under‑utilized hardware investments.
Solution
3RTechnology delivers end‑to‑end AI compute infrastructure built around NVIDIA’s latest GPU accelerators. The company assesses workload requirements, designs a high‑performance computing (HPC) architecture, and sources state‑of‑the‑art NVIDIA hardware such as DGX servers, A100 Tensor Core GPUs, Jetson Orin modules, and professional‑grade RTX accelerators. It then handles procurement, installation, integration with existing networks, and provides ongoing monitoring and support through certified systems engineers. By offering consulting, budgeting optimization (including NVIDIA Inception discounts), and managed service contracts, 3RTechnology enables enterprises, research labs, and creative studios to deploy scalable AI platforms without the overhead of building and maintaining the infrastructure themselves.
Target Audience
Primary customers are enterprises, universities, research institutes, and creative studios that require dedicated AI/ML compute resources for data science, simulation, or graphics rendering workloads.
Features
- Architecture design and performance modeling for GPU‑centric HPC clusters, including CPU/GPU sizing, NVLink, PCIe Gen4, and high‑throughput networking.
- Procurement and integration of NVIDIA DGX B200, DGX Station A100, and custom GPU servers (e.g., L40S, RTX A6000/Ada) with turnkey installation and cooling/power engineering.
- Jetson AGX Orin developer kit deployment for edge AI and robotics projects, featuring 2,048 CUDA cores and 64 Tensor cores per module.
- GPU‑enabled virtual desktop infrastructure (VDI) that delivers remote, high‑performance workstations for hybrid teams.
- Full‑stack maintenance service: remote diagnostics, firmware updates, SLA‑based hardware support, and lifecycle management.
- Consulting on budget optimization, leveraging NVIDIA Enterprise Preferred Partner discounts and Inception program pricing.
- Certified systems engineers provide on‑site configuration, network integration, and compliance with enterprise IT standards.