GPU clusters and the space, power and network to run them.
Training and serving AI models takes dense GPU compute, high-throughput networking and facilities that can power and cool it. Noviant builds GPU server clusters for large language model training and inference and places them in Tier III+ colocation designed for high-density AI racks.
We connect them over a private, low-latency backbone that links financial hubs and AI research centers, so your models sit close to your data and your users.
Custom-built for LLM training and inference on the latest generation NVIDIA GPUs, with InfiniBand networking and liquid-cooling-ready designs.
Facilities designed for high-density AI workloads, with high-density power racks up to 100 kW, redundant power and cooling, and 24/7 security and monitoring.
A private network backbone with dark fiber access, DDoS protection and direct connections to the major clouds.
We size compute, power and network to your workloads, and plan the next expansion before you need it.
Define the workload, model sizes, throughput and latency targets.
Select GPUs, networking and the colocation footprint, or a LiquidEdge AI POD where speed matters.
Rack, cable and bring the cluster online, then validate performance.
Monitor and maintain the cluster and the connectivity around it.
Certified since October 26, 2019; certified to ISO/IEC 27001:2022 since October 26, 2025 (valid through October 25, 2028). Certificate No. 382119.00, issued by DEKRA Certification, Inc., an ANAB-accredited certification body. Scope: Managed services including Cybersecurity, Cloud Solutions, Data Analytics, and Data Infrastructure.
Helping state and city agencies meet their Article 15-A goals for minority and women-owned business participation.
Either. We can design and supply a full cluster or install and support hardware you already own in a colocation facility.
Our colocation options are designed for high-density AI racks of up to 100 kW.
When you need dedicated capacity quickly at a site you control, or more density than a colocation facility can offer. The POD goes from factory to live in about eight weeks.
Yes. We provide direct cloud connections alongside the private backbone so workloads can move between your cluster and public cloud.
