AI GPU Servers
Purpose-built servers for model training, inference and AI pipelines
AI GPU servers from Virupaux are tuned for training and inference with minimal configuration. We match GPU, CPU, memory and interconnect to your framework so models move from idea to deployment faster.
Training and inference
Configurations optimised for PyTorch, TensorFlow and vLLM, with NVLink-class GPU interconnects where your scale demands it.
High-bandwidth interconnect
PCIe Gen4/Gen5 topologies sized so GPU-to-GPU traffic never bottlenecks your cluster.
AI storage alignment
Fast NVMe scratch pools for datasets and checkpoints, matched to your compute ratio.
Deployment ready
Our team configures drivers, CUDA stacks and container runtimes, then validates the node before delivery.
Specifications at a glance
- GPU count
- 1 – 8 GPUs per node
- Interconnect
- NVLink / PCIe 4.0 / 5.0
- Memory
- DDR5 ECC, high-bandwidth
- Software
- CUDA, cuDNN, Docker, Ubuntu
- Use cases
- LLM fine-tune, inference, RAG
Warranty per configuration Nationwide insured delivery
Explore the rest of our server range: GPU ServersStorage ServersRack Servers