From single-GPU workstations to thousand-card AI clusters, NEXUS delivers design, deployment, tuning and operations as one integrated service — a reliable compute foundation for LLM training, machine vision, autonomous driving simulation and smart cities.
Covering training, inference and edge computing, with standard products and deep customization across NVIDIA and domestic chip platforms.
High-density 8U/8-GPU and 4U/4-GPU training nodes with NVLink interconnect and lossless high-speed networking for trillion-parameter model training.
NVIDIA H / B Series · Domestic ChipsThousand-card RoCE / InfiniBand cluster solutions with intelligent scheduling and container orchestration — train-and-inference integration out of the box.
Up to 2,048 GPUs per ClusterIndustrial-grade wide-temperature design with 8–200 TOPS options for real-time inference in manufacturing inspection, security patrol and vehicle-road coordination.
IP40 · -20℃ ~ 60℃Cold-plate and immersion cooling solutions with PUE as low as 1.08 and up to 100kW per rack — the first choice for green AI data centers.
PUE 1.08 · 100kW / RackDesktop compute for LLM fine-tuning, graphics rendering and scientific computing, with quiet design and flexible 1–4 GPU configurations.
Full RTX Lineup · Quiet CoolingGPU Direct Storage-ready parallel file systems with 25GB/s single-stream bandwidth to eliminate training data bottlenecks.
25GB/s Single-Stream Bandwidth72-hour stress testing and full-pipeline performance baselining before shipment — delivered performance matches spec.
PyTorch / TensorFlow framework-level optimization lifts training throughput 15–30% on average.
Joint chip-vendor certification and a spare-parts system, with key components on site within 4 hours.
Remote monitoring, fault prediction and capacity planning with 7×24 expert duty.
Thousand-card clusters for AI data centers and research institutes — end-to-end training for 10B+ parameter models with zero-loss checkpoint resume.
Edge AI boxes plus a vision platform deliver 99.5%+ defect detection, with line retrofits completed in under 4 weeks.
Multi-GPU parallel simulation with scenario libraries lifts daily simulated mileage 10× and supports closed-loop training.
City-scale video compute foundations handling 10,000+ streams with structured analysis latency under 200ms.
Technical consultants assess workloads, data scale and compute gaps on site, then deliver a requirements analysis report.
Architects deliver hardware selection, network topology and budget estimates within 3 working days.
Factory pre-assembled and tested systems ship as complete units; on-site deployment and acceptance testing with full visibility.
7×24 monitoring and alerts, quarterly health checks and capacity planning advice.
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