RTX 3050 - Order Now
Dedicated GPU Servers from /mo

GPU Hosting for AI, Rendering & Inference

Bare metal servers with a dedicated GPU card. Full root access, NVMe storage, 1Gbps networking — deployed from our UK datacenter.

UK Datacenter 1Gbps Network Full Root Access 99.9% Uptime 24/7 Support
12 GPUs from NVIDIA, AMD & Intel
UK Data Centre
Monthly billing, cancel anytime
99.9% Uptime SLA

Dedicated GPU Servers

Bare metal servers with a dedicated GPU card — choose from NVIDIA, AMD and Intel with full hardware isolation and NVMe storage.

RTX 3050 6 GB
ArchitectureAmpere
CUDA Cores2,304
FP326.8 TFLOPS
Bandwidth168 GB/s
From /mo Configure
RTX 4060 8 GB
ArchitectureAda Lovelace
CUDA Cores3,072
FP3215.1 TFLOPS
Bandwidth272 GB/s
From /mo Configure
RTX 4060 Ti 16GB 16 GB
ArchitectureAda Lovelace
CUDA Cores4,352
FP3222.1 TFLOPS
Bandwidth288 GB/s
From /mo Configure
RTX 3090 24 GB
ArchitectureAmpere
CUDA Cores10,496
FP3235.6 TFLOPS
Bandwidth936 GB/s
From /mo Configure
RTX 5080 16 GB
ArchitectureBlackwell 2.0
CUDA Cores10,752
FP3256.3 TFLOPS
Bandwidth960 GB/s
From /mo Configure
Radeon AI Pro R9700 32 GB
ArchitectureRDNA 4
Shading Units4,096
FP3247.8 TFLOPS
Bandwidth645 GB/s
From /mo Configure

Why Dedicated Beats Cloud GPU

Cloud GPU billing adds up fast. Shared instances throttle your workloads. Here’s why teams switch to GigaGPU.

Cloud GPU (RunPod, Vast, AWS)

Hourly billing — costs spike on long-running jobs
Shared hardware — noisy neighbours kill performance
GPU availability lottery — instances vanish mid-job
No root access or custom driver stacks
Data leaves your control on shared infra

GigaGPU Dedicated

Fixed monthly price — no billing surprises
Bare metal isolation — entire machine is yours
Always-on GPU — no preemption, no waitlists
Full root access — any OS, driver, framework
UK data residency — your data stays in the UK
Running a model 24/7 on cloud GPU? You’re probably overpaying by 3–5x.

Built for Demanding Workloads

From AI training to real-time rendering, our dedicated GPU hosting gives you the raw compute power to ship faster.

Self-Host LLMs

Run open-source language models 24/7 with full CUDA support and no per-token API costs.

LLaMA DeepSeek Mistral Qwen Phi

AI & Machine Learning

Train and fine-tune models on dedicated NVIDIA GPUs with NVMe-backed datasets and full isolation.

PyTorch TensorFlow Keras vLLM

Image & Video Generation

Generate images and video with Stable Diffusion, Flux, ComfyUI or WAN-AI on dedicated GPU hardware.

Stable Diffusion Flux.1 ComfyUI WAN-AI

Speech & Audio

Deploy text-to-speech and transcription models with low latency and full GPU acceleration.

Whisper Kokoro Coqui XTTS-v2

Video Rendering

GPU-accelerated encoding and rendering for production pipelines, Blender, DaVinci Resolve and more.

Blender DaVinci Resolve FFmpeg

Game Servers & Emulation

Run Android emulators, game servers and remote desktops with dedicated GPU passthrough.

Android Emulators Remote Desktop Streaming

What You Get with Every Server

No hidden fees. No surprise add-ons. Every dedicated GPU server ships fully loaded.

Bare Metal Isolation

No virtualisation, no shared resources. The entire physical machine — CPU, RAM, GPU, storage — is yours alone.

Full Root Access

Install any OS, driver stack, or framework. Run Docker, Kubernetes, or bare-metal CUDA. No permission requests.

UK Data Residency

Your data stays in the UK on hardware you control. Redundant power, cooling, and networking with 99.9% uptime SLA.

1Gbps Network Port
NVMe SSD Storage
128GB DDR4/DDR5 RAM
Ryzen CPU
DDoS Protection
24/7 Monitoring
IPv4 & IPv6
Remote Reboot
Expert GPU Support
Any Operating System

Deploy in Three Steps

Go from zero to a running GPU server in under 24 hours. No sales calls required.

1

Pick Your GPU

Choose from 12 GPUs across four performance tiers. Match the VRAM and compute to your workload.

2

Configure & Order

Select your OS, storage, and billing cycle. We handle provisioning, networking, and driver setup.

3

Start Building

SSH in, install your stack, deploy your models. Root access, full GPU passthrough, 1Gbps — ready to go.

What Our Customers Say

“Great prices and an amazing support team, would not choose another.”
— uToasT
“Great uptime so far, have had no issues with them.”
— Shockist
“Unbelievable speed, my website loads just way too fast!”
— Burak

Frequently Asked Questions

Everything you need to know about our GPU hosting service.

What is GPU hosting?
GPU hosting is a server hosting service where each machine includes a dedicated graphics processing unit (GPU) alongside the CPU, RAM and storage. This gives you massively parallel compute power for workloads like AI training, LLM inference, 3D rendering, video encoding and scientific simulation — tasks where a CPU alone would be orders of magnitude slower.
What is the difference between dedicated and cloud GPU hosting?
Cloud GPU hosting typically means a virtualised slice of a shared GPU — you pay by the hour and share hardware with other tenants. Dedicated GPU hosting gives you an entire physical server with its own GPU card. There’s no virtualisation overhead, no noisy-neighbour issues and full root access.
What makes GigaGPU the best for AI projects?
GigaGPU specialises in dedicated GPU servers purpose-built for AI workloads. Every server ships with a full NVIDIA or AMD GPU, NVMe storage, up to 128 GB of system RAM, and a 1 Gbps network link. You get bare-metal performance with 24/7 support from engineers who understand CUDA, PyTorch and model deployment.
Is there cheap GPU hosting that’s still reliable?
Yes. Our entry-level RTX 3050 server is one of the most affordable dedicated GPU hosting options available, and it still comes with a 99.9% uptime SLA, NVMe storage and 24/7 support. We keep costs low by owning our own hardware and datacenter infrastructure.
Which GPU hosting options are best for startups?
Start with an RTX 4060 or RTX 4060 Ti 16 GB for affordable AI inference, then scale to RTX 3090 or RTX 5080 as workloads grow. No contracts, and trial servers are available so you can benchmark before committing.
How does dedicated compare to serverless GPU?
Serverless GPU charges per invocation with cold-start latency. Dedicated GPU hosting is always-on with fixed monthly costs — ideal when your GPU is utilised for hours each day. No cold-start penalty, no per-request billing, and full control of your stack.
Can I customise my GPU server configuration?
Yes. All servers can be configured with your choice of operating system (Windows or Linux), RAM allocation, and storage size during checkout. For multi-GPU or custom builds, contact our sales team for a tailored quote.
Where are your GPU servers located?
All servers are located in our datacenter in the North West of England, connected via multi-gigabit fibre with low-latency peering to UK and European internet exchanges.

Ready to Get Started?

Deploy a dedicated GPU server in minutes. No contracts, cancel any time.

Have a question? Need help?