GPU Servers
GPU Dedicated Servers
Bare-metal servers with NVIDIA RTX GPUs for AI/ML, inference, 3D rendering, and heavy compute — full root, no virtualization overhead, no shared-tenant throttling.
GPU workloads punish shared infrastructure. Our GPU servers are dedicated bare metal — you get the whole card and the whole box. Configurations pair NVIDIA RTX GPUs with high-core Xeon CPUs, plenty of RAM, and fast NVMe for datasets, so training and rendering aren’t bottlenecked by storage or noisy neighbours.
Every GPU server includes full root access, IPMI/KVM, DDoS protection, and our 24/7 managed support. Bring your own CUDA/cuDNN stack, PyTorch, TensorFlow, or a rendering pipeline — it’s your machine.
NVIDIA RTX GPUs
Dedicated GPUs (e.g. dual RTX 3080) for training, inference, and rendering.
Bare metal
No hypervisor tax — the full GPU and CPU are yours.
Fast NVMe
Local NVMe keeps datasets close to the GPU.
Full root + IPMI
Install any CUDA stack; out-of-band IPMI/KVM access.
DDoS protection
Included, so public inference endpoints stay online.
24/7 support
Human help with setup and drivers, any hour.
Ready to get started?
Enterprise infrastructure with NVMe storage, DDoS protection, and 24/7 managed support — included on every plan.
View GPU ServersFrequently asked questions
Which GPUs do you offer?
Our GPU line-up includes NVIDIA RTX-class cards (such as dual RTX 3080 configurations). Contact us for current availability and larger builds.
Can I run CUDA, PyTorch, and TensorFlow?
Yes. You have full root on bare metal, so you can install any CUDA/cuDNN version and your ML frameworks of choice.
Is it dedicated or shared?
Dedicated. The GPU and the whole server are exclusively yours — no shared-tenant throttling.
Do you bill hourly or monthly?
GPU dedicated servers are billed monthly. Reach out if you need a custom term.