Funding
Funding not disclosed
Founders
Product
Problem
Enterprises and research institutions often struggle to access large‑scale, high‑performance computing resources that can handle intensive AI workloads while maintaining energy efficiency and a small physical footprint.
Solution
Tatra Supercompute offers a modular, rack‑scale data center built on Vertiv’s space‑saving power management and advanced liquid‑cooling technologies. By integrating NVIDIA GPUs with next‑generation Tensor Cores, the facility delivers high‑throughput AI inference and accelerated computing with reduced power consumption. The modular architecture allows customers to scale capacity on demand without extensive infrastructure upgrades. Energy‑efficient cooling and power systems lower operational costs and support sustainable compute operations. Clients can access the platform through dedicated connections, enabling rapid deployment of large language model inference and other GPU‑intensive tasks.
Target Audience
Primary customers are AI‑focused enterprises, cloud service providers, and research organizations that require scalable, high‑performance GPU compute with a focus on energy efficiency.
Features
- Modular rack‑scale design that can be expanded incrementally to match workload growth
- Vertiv‑based power management delivering high density with optimized space utilization
- Advanced liquid cooling for NVIDIA GPUs, maximizing performance per watt
- High‑performance Tensor Core GPUs optimized for large language model inference
- Sustainable operation through energy‑efficient cooling and power systems
- Direct, low‑latency network connectivity for AI and accelerated computing workloads