// offshore GPU bare metal

Offshore GPU Dedicated ServersAI, Rendering & Compute

Run AI, rendering and compute workloads on dedicated GPU hardware with full software control.

Dedicated NVIDIA GPU hardware
Bare-metal CPU, RAM & local storage
AI, rendering & compute workloads
High-speed network options

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Plans from $408.44/mo

GPUNVIDIA / AMD

Multi-GPUAvailable

AccessFull root

UseAI / HPC

Support24/7

Plans & Pricing

Offshore GPU Dedicated Server Plans

Compare GPU, CPU, RAM, storage and location options, then choose the accelerated server that fits your AI, rendering or compute workload.

LocationCPUCoresGPUDelivery

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Bare metal // GPU standard

Dedicated GPU Control

Run dedicated GPU hardware with full server administration, local storage and the CPU/RAM resources paired with each listed accelerator.

GPUDedicated Accelerator

AccessRoot / Administrator

CPUServer-Class Host

MemoryLarge RAM Profiles

StorageSSD / NVMe Options

Network1G / 10G / 25G Profiles

LocationMultiple GPU Markets

Support24/7 Sales & Support

OS & stack options

Ubuntu Debian

Debian

AlmaLinux

Rocky Linux

Windows Server cPanel

cPanel Plesk

Plesk

DirectAdmin Proxmox

Proxmox Docker

Docker

// gpu lineup

Choose Your GPU

Start with your framework, model size and memory needs. Then compare compatible accelerators and the CPU, RAM and storage that will feed your workload.

GPU family	Memory shown in current catalog	Typical fit
NVIDIA T4	16 GB	Inference, video processing, light GPU workloads
NVIDIA L4	24 GB	Video AI, inference and media acceleration
NVIDIA L40S	24 GB / multi-GPU listings	AI inference, rendering and accelerated media
NVIDIA RTX 6000	Catalog-dependent	3D rendering, visualization and AI inference
NVIDIA H100	80 GB	Large-model training, fine-tuning and HPC
NVIDIA H200	141 GB	Memory-heavy AI training and inference
AMD MI210	64 GB	Scientific and general HPC workloads

// why dedicated gpu

Dedicated GPU Compute

A dedicated GPU node gives the workload direct access to a physical accelerator instead of sharing the card with unrelated tenants.

Your Own GPU Resources

Use the full GPU assigned to the server for model training, inference, rendering or compute without a shared vGPU layer.

Driver & framework control

Choose the supported operating system and install the NVIDIA/AMD driver, CUDA/ROCm and framework versions required by the project.

Multi-GPU options

Selected inventory includes dual-GPU configurations, while larger builds can be discussed with sales when available.

Memory for Larger Models

Choose sufficient GPU memory for your models, batch sizes and precision requirements. Ask our team about high-memory configurations for demanding projects.

Dedicated CPU & RAM

The host CPU and system memory remain part of the same single-tenant server and can be selected around data-preparation needs.

Fast local storage

SSD/NVMe options support datasets, checkpoints, model files, render assets and scratch workloads.

High-bandwidth networking

Use higher port profiles when distributed jobs, remote datasets or large result transfers require more throughput.

Location choice

Select GPU inventory by region when latency, data location or proximity to users and datasets matters.

// gpu workloads

GPU Server Use Cases

Match the GPU family and memory capacity to the software stack and workload instead of selecting only by price.

LLM training & fine-tuning

Use higher-memory accelerators for transformer workloads, fine-tuning, embeddings and large batch processing.

AI inference

Deploy dedicated inference services for language, vision, recommendation and other accelerated models.

3D rendering

Accelerate ray tracing, visualization, CAD, animation and rendering pipelines with dedicated GPU resources.

Video AI & transcoding

Use supported GPU encoders and compute resources for computer vision, media analysis and high-volume video processing.

Scientific HPC

Run matrix-heavy simulations, numerical computing and GPU-accelerated research workloads.

Development & testing

Build isolated GPU development nodes for teams that need control over drivers, frameworks and container images.

// support access, 24/7

Support When Needed

Share your framework, model size, GPU memory target and preferred region. Our team can help you compare suitable configurations or request a custom build.

Support channelsAvailable 24/7

Service assistanceSales + support

Live chatStart a conversation →Support portalOpen a ticket →Sales requirementsContact our team →

deployment-check.sh

veltrix@check:~$ verify_before_order
[OK] GPU model accelerator + VRAM
[OK] GPU count single / multi
[OK] CPU / RAM host resources
[OK] Storage dataset / scratch
[OK] Network port + traffic
[OK] Location current stock

// verify before you deploy

Plan Your GPU

GPU performance depends on accelerator memory, host CPU/RAM, storage and network. Compare the complete node rather than choosing the GPU model alone.

Review GPU Servers Ask Sales to Verify

Built for your next project

GPU Servers for AI

Dedicated GPU server hosting provides isolated accelerator hardware for AI training, machine learning, inference, rendering, scientific compute and GPU-accelerated media workloads.

Select the GPU model together with CPU, RAM, storage and network requirements so the host system does not become the bottleneck. If acceleration is not required, compare the wider dedicated server catalog.

FAQ

GPU Server FAQ

Get the details you need to choose your server with confidence.

Which GPU models are available?

Use the GPU filter to see the accelerators currently available to order. If you need a particular NVIDIA or AMD model, memory capacity or GPU count, contact sales for a matching configuration.

Can I order more than one GPU in a server?

Yes. Some configurations include multiple accelerators, and larger multi-GPU builds can be requested subject to availability.

Do GPU servers include root access?

Dedicated GPU servers are intended for full operating-system control so you can install drivers, frameworks and application dependencies.

Can I use CUDA?

NVIDIA-based systems can support CUDA-compatible software when the required driver and CUDA versions are installed.

Do you support AMD GPU compute?

Selected AMD accelerator inventory may be available. Check the GPU filter or ask sales about ROCm-compatible requirements.

Are GPU servers suitable for video transcoding?

Yes. Appropriate GPU models can accelerate encoding, rendering and other media-processing workloads.

How fast can a GPU server be delivered?

Delivery depends on the selected GPU, location and current stock. Some listings show hourly delivery while larger systems may require build time.

Can I request a custom GPU configuration?

Yes. For specific GPU count, CPU, RAM, storage or network requirements, send the complete workload specification to sales.

How do I choose between 1Gbps, 10Gbps and 25Gbps dedicated servers?

Choose the network profile based on expected transfer volume, traffic bursts and application throughput. Standard workloads may fit 1Gbps, while streaming, large transfers and high-throughput services can benefit from 10Gbps or 25Gbps options.

Are dedicated server prices shown per month?

Yes. Prices are monthly for the server configuration shown. Your order summary includes any selected software, licenses, additional IPs or network upgrades.

Can I choose the operating system on a dedicated server?

Supported operating systems and control-panel choices depend on the server and provisioning workflow. Confirm the required OS or license before deployment when it is important to your workload.

How fast is dedicated server delivery?

Check the delivery estimate beside your chosen server. Ready-to-deploy hardware is usually faster to prepare than a custom build; our team can confirm the schedule before you order.