Trustpilot
★★★★★

TrustScore 4.7

5,720 reviews

HostAdvice
★★★★★

4.7

47,182 reviews

Google
★★★★★

4.7

42,260 reviews

Premium Infrastructure

GPU Server —
Train, Render, Infer

Dedicated GPU servers with full PCIe passthrough — RTX 4090, A100, pre-built ML stacks, NVMe Gen4, DDR5. Hourly billing for training runs, monthly for inference. No GPU time-sharing.

See GPU PlansCustom Multi-GPU

GPU Server Features

Six reasons ML engineers, researchers, and studios rent dedicated GPU servers.

memoryFull PCIe Passthrough

100% GPU performance — no vGPU overhead. Bare-metal GPU in your dedicated VM.

hubPre-Built ML Stacks

CUDA 12 + PyTorch / TensorFlow images. ComfyUI and SD images for generative workloads.

brushRender Engine Ready

Blender, V-Ray, Arnold, Cinema 4D — full GPU rendering on RTX 4090 or A100.

boltNVMe Gen4 + DDR5

Fast storage and high-bandwidth RAM to keep the GPU fed. No I/O bottlenecks.

scheduleHourly / Monthly Billing

Pay per hour when training runs. Monthly discount for continuous workloads.

shieldDDoS Protection

Layer 3/4 mitigation included. Run ML inference APIs safely on public IPs.

Why Serversium?

Feature
Serversium Edge
Traditional Service
Infrastructure
NVMe + redundant network
Standard disk / single uplink
Security
DDoS / WAF / Firewall
Basic / paid add-on
Support
24/7 technical team
Limited / business hours only
Product Range
VPS, Dedicated, Hosting, Mail, Game, Colocation
Limited service range
Management
Client panel + fast provisioning
Manual setup / slow activation
Data Center
Redundant power & network
Single feed / outage risk

GPU Server Plans and Use Cases

Cloud GPU pricing (AWS, GCP, Azure) is high and often unavailable at peak demand. Lambda Labs and similar share GPUs between tenants with vGPU overhead. Dedicated GPU server rental gives you a physical GPU reserved only for you — full VRAM, full compute, no noisy neighbors — at a fraction of cloud per-hour cost.

memoryRTX 4090 from $0.79/hr — A100 from $1,499/mo

RTX 4090 (24 GB): from $0.79/hr hourly or $299/mo. RTX 3090 (24 GB): from $0.59/hr or $199/mo. A5000 (24 GB ECC): from $0.69/hr or $249/mo. A100 40 GB: from $1.29/hr or $799/mo. A100 80 GB: from $1.99/hr or $1,499/mo. Multi-GPU on request. All include NVMe Gen4, DDR5, 10Gbps, DDoS.

model_trainingML Model Training

Fine-tune LLMs, train diffusion models, run long CUDA training jobs without shared GPU limits.

auto_awesomeGenerative AI / Image

Stable Diffusion, Flux, ComfyUI, ControlNet — full 24 GB VRAM, no queue.

brush3D Rendering

Blender GPU render, V-Ray, Arnold — RTX 4090 renders in minutes not hours.

developer_boardML Inference API

Host a private LLM or CV inference API. DDoS protection for public endpoints.

biotechScientific Computing

CUDA-accelerated simulations — molecular dynamics, CFD, FEA with full GPU throughput.

schoolResearch Labs

Affordable dedicated GPU for university labs and research groups without cloud budget caps.

Frequently Asked Questions

What is full PCIe passthrough?add_circle
The GPU is passed directly to your VM with no virtualization overhead — you get 100% of GPU performance. Contrast with vGPU/shared GPU where resources are split between tenants. Critical for ML training and rendering workloads.
Which GPUs are available?add_circle
RTX 4090 (24 GB GDDR6X), RTX 3090 (24 GB), A5000 (24 GB ECC), A100 (40 GB/80 GB HBM2e). Multi-GPU configurations (2×, 4×, 8×) available on request.
What ML stacks are pre-installed?add_circle
Optional pre-built images: CUDA 12.x + cuDNN + PyTorch 2.x, TensorFlow 2.x, or bare Ubuntu 22.04. ComfyUI and Stable Diffusion images available for image generation workloads.
Hourly billing — how does it work?add_circle
Billed per hour of VM uptime. Stop the VM when not in use — you stop paying. Minimum 1 hour. Monthly billing available with 20–30% discount for committed usage.
Can I use the GPU for rendering?add_circle
Yes. Blender, Cinema 4D, Arnold, V-Ray all work via PCIe passthrough. GPU renders exactly like a local workstation — but you pay only while rendering.
Is NVLink / multi-GPU supported?add_circle
NVLink bridging available on RTX 3090 and A100 multi-GPU configs. 4×A100 NVLink configurations available for large model training. Contact sales for custom multi-GPU builds.
Storage included?add_circle
NVMe Gen4 SSD included (512 GB–4 TB depending on plan). Additional block storage attachable. No storage cap on egress.
DDoS protection on GPU servers?add_circle
Yes. Layer 3/4 DDoS mitigation included. Useful for ML inference APIs exposed to the internet.