GPU & AI Infrastructure
Dedicated GPU servers for teams that need real compute. Private hardware, consistent performance, and engineers who understand ML workloads.
At a Glance
What We Deliver
Everything you need to run AI workloads — without managing a data center
GPU Servers
Dedicated A100 and H100 GPU servers for training and inference. Single-GPU to multi-GPU configurations, fully customizable.
ML-Ready Environments
Pre-configured environments with the compute, storage, and networking your ML pipelines need. Deploy and start training.
Private AI Infrastructure
Your models, your data, your hardware. No shared tenancy, no data leaving your environment. Full control over your AI stack.
Inference at Scale
From single-model serving to high-throughput inference clusters. CPU-based options for cost-efficient production workloads.
Private vs. Shared GPU
API-based GPU access is convenient for prototyping. But when you're training production models or running sensitive inference, you need dedicated hardware.
H100 SXM5 8x
640 GB HBM3
H100 PCIe 1–2x
80–160 GB HBM3
A100 80G 1–2x
80–160 GB HBM2e
A100 40G
40 GB HBM2e
CPU Inference
Intel AMX
How It Works
Stop Renting Compute by the Hour
Dedicated GPU infrastructure at fixed monthly rates. Tell us what you need.