NEXUSNOVA

Technology

The Core of Intelligent Infrastructure

At NexusNova, technology is the foundation of everything we build. Our systems are powered by the latest in AI architectures, GPU hardware, and scalable infrastructure engineering—delivering intelligent performance where it matters most.

GPU Computing Power

H200 / B300 / GB200 / GB300 / 5090 GPU clusters
Support for large-scale training (multi-node, multi-GPU)
Optimized for LLMs, diffusion models, and multimodal AI

Advanced AI Stack

Model Development Frameworks: PyTorch, TensorFlow, JAX
Deployment Tools: ONNX, TensorRT, DeepStream, Triton Inference Server
Data Pipeline: Kafka, Apache Spark, custom ETL pipelines

Infrastructure Engineering

Kubernetes-based orchestration and GPU scheduling
Distributed file systems (Ceph, Lustre, NFS)
Edge & hybrid deployment environments

Security & Optimization

End-to-end data encryption (in transit & at rest)
AI workload load-balancing & heat dissipation optimization
SLA-driven diagnostics and recovery automation

Co-Design & Integration

AI model + hardware joint optimization
Low-level driver tuning & power-efficiency design
Collaboration with NVIDIA MGX ecosystem

∿

Research → Reality

Academic Support

At NexusNova, we are proud to be backed by world-class academic strength. Our AI development is supported by experts and advisors from Stanford University's Artificial Intelligence Laboratory and the University of California, Los Angeles (UCLA) Computer Science Department. This deep integration of academic insight and practical deployment enables us to deliver cutting-edge, research-driven AI infrastructure and solutions to our clients.

Technical Specifications

Up to 144,000

GPU Cores

Up to 192GB HBM3e

Memory

8TB/s

Bandwidth

15x faster training

Performance

Request Technical Datasheet

Academic Support