GPU Dedicated Servers

A GPU dedicated server is a bare-metal server with one or more NVIDIA GPUs allocated exclusively to you. Unlike shared GPU cloud instances, you get the full hardware with no noisy neighbors, consistent performance, and root access to the entire machine.

For frontier-scale training, B200 leads with 192GB HBM3e. For 70B+ models, choose H200 for its 141GB memory. For general training and fine-tuning, H100 or A100 work well. For production inference and image generation, L40S and RTX PRO 6000 offer strong price-performance. L4 and other configurations are available on request.

Yes. We offer 1x, 2x, 4x, and 8x GPU configurations. Multi-GPU servers use NVLink interconnects for high-speed GPU-to-GPU communication, critical for distributed training workloads.

Every GPU dedicated server ships with CUDA, cuDNN, PyTorch, TensorFlow, and Docker pre-installed. You get full root access to install anything else you need. We also support custom images.

GPU nodes are billed monthly with a 1-month minimum; there is no hourly product. Each node also has an effective hourly rate (monthly price divided by 730) shown for comparison against hourly clouds. Volume and multi-node commitments are priced on scoping.

All GPU dedicated servers include 24/7 hardware monitoring, replacement SLA, and access to our infrastructure support team. The managed ops add-on, ₹15,000 ($179) per node/month, adds setup, driver and CUDA management, monitoring, and a <15-minute P1 response.