Data Cities builds and operates AI‑optimized data centers featuring high‑density GPU racks, 400 GbE/CXL networking, NVMe‑over‑Fabric storage, and liquid cooling to deliver high‑throughput, low‑latency compute for large‑scale machine‑learning workloads. Their platform provides automated provisioning, orchestration via SLURM and Kubernetes, and infrastructure‑as‑code tools to enable scalable, power‑efficient training and inference for AI‑first enterprises and research labs.
Funding
Funding not disclosed
Founders
Product
Problem
AI developers and enterprises increasingly require dedicated, high‑performance infrastructure to train and serve large models, but traditional data centers are optimized for general compute, leading to sub‑optimal latency, scaling limits, and vendor lock‑in.
Solution
Data Cities builds purpose‑built AI data centers that deliver model‑agnostic, high‑throughput compute and storage optimized for AI workloads. By locating facilities near major talent hubs, they provide low‑latency connectivity and access to a skilled workforce. Their infrastructure leverages open‑compute designs, liquid cooling, and high‑speed networking (e.g., 400 GbE, CXL) to maximize performance while maintaining energy efficiency. The platform offers enterprises the ability to host, protect, and scale AI models on their own terms, avoiding dependence on generic cloud providers and supporting ethical, sustainable AI operations.
Target Audience
Primary customers are AI‑first enterprises, research labs, and large‑scale machine‑learning teams that need dedicated, high‑performance compute infrastructure for training and inference.
Features
- Ten globally distributed AI centers co‑located with top talent ecosystems for reduced latency and talent access
- Model‑agnostic hardware stacks supporting GPUs, accelerators, and emerging AI chips
- Open‑compute and liquid‑cooling architectures that boost power density and energy efficiency
- High‑bandwidth networking (400 GbE, CXL, Clos topology) optimized for AI data movement
- Integrated infrastructure‑as‑code tooling (Ansible, Terraform) for automated provisioning and management
- Predictive maintenance and AI‑driven performance monitoring to ensure uptime and optimal resource utilization