AIDnP delivers enterprise‑grade AI compute infrastructure that can be deployed in 9‑12 months, roughly half the time required for traditional data centers. Their NeuroBrick platform combines AI‑native features with liquid‑cooling technology, achieving up to 45% energy savings and lower operating costs. By handling vendor integration and infrastructure management, AIDnP enables organizations to launch AI initiatives quickly and sustainably.
- Artificial Intelligence
- Enterprise Software
- Hardware
Funding
Founders
Product
Problem
Enterprises need large-scale, high‑performance GPU compute for AI workloads, but traditional data‑center builds take 18‑24 months, incur high energy costs, and require complex multi‑vendor integration, delaying AI initiatives and inflating total cost of ownership.
Solution
AIDnP delivers an AI‑native infrastructure platform that can be deployed in 9‑12 months, cutting build time by up to 56% compared with conventional data centers. The NeuroBrick solution uses modular, high‑density data‑center units with liquid cooling, achieving a Power Usage Effectiveness of 1.1‑1.3 and delivering up to 45% energy savings. Integrated orchestration software automates scheduling, monitoring, and metering to maximize GPU utilization while minimizing operational overhead. Expert services handle design, installation, and ongoing management, providing a fully managed, production‑ready AI environment without the complexity of coordinating multiple vendors.
Target Audience
Primary customers are enterprises and research organizations that require large‑scale, high‑performance GPU compute for AI development and production workloads.
Features
- Modular AI data‑center units built for NVIDIA H200/B300 GPUs with InfiniBand networking and enterprise‑grade power systems
- Liquid‑cooling architecture delivering PUE of 1.1‑1.3 for significant energy and OpEx reduction
- One‑click, end‑to‑end deployment process that reduces build time to 9‑12 months
- AI orchestration platform that manages scheduling, monitoring, metering, and automation to optimize GPU utilization
- Fully managed service covering design, deployment, and continuous operations, eliminating multi‑vendor coordination