GIGAGPU Dedicated GPU Servers
GIGAGPU Dedicated GPU Servers: A focused bare-metal GPU host for AI, rendering, and other GPU-intensive workloads. Ranked #146 of 268 in Dedicated Server Hosting by our editors (3.0/10); pricing: Paid; best for dedicated GPU servers for AI and rendering workloads.
At a glance
- Editor score3.0 / 10
- PricingPaid
- Best forDedicated GPU servers for AI and rendering workloads
- Free planNo
- Server managementUnmanaged
- Facts checked22 Sep 2026
Where it wins
- Dedicated NVIDIA, AMD, or Intel GPUs with full root access
- NVMe storage, 1 Gbps networking, and a dedicated IP
- Docker, Kubernetes, CUDA, PyTorch, TensorFlow, and JAX support
Where it doesn't
- Unmanaged service requires customers to handle server administration
- Single-region footprint limits location choice
- Some configurations are marked unavailable or pre-order
Our verdict on GIGAGPU Dedicated GPU Servers
GIGAGPU Dedicated GPU Servers provides dedicated bare-metal machines for developers, startups, production AI workloads, and larger enterprise or workstation deployments. Its configurations target AI inference, model training, image and video generation, rendering, gaming, streaming, and other GPU-intensive work. Options include dedicated NVIDIA, AMD, and Intel GPUs paired with Ryzen processors, NVMe SSD storage, and a dedicated IP. The service is accessed through the web and supports Linux or Windows Server, with UK data residency.
The main strength is its GPU-focused hardware range. Configurations include RTX 3050, RTX 4060, RTX 5060, RTX 4060 Ti, RTX 5060 Ti, Intel Arc Pro B60, RTX 5070, and RX 9070 XT options, with GPU memory ranging from 6GB to 24GB across the listed plans. Full root access, remote reboot, IPv4 and IPv6 connectivity, DDoS protection, 24/7 monitoring, and a 1 Gbps network port support workloads that need direct control of the server environment. Integrations and compatibility span Docker, Kubernetes, CUDA, ROCm, OpenCL, PyTorch, TensorFlow, JAX, vLLM, and Ollama.
This is a strong fit for teams that specifically need dedicated GPU bare metal and can manage an unmanaged server. The fixed monthly pricing model and configuration-based selection make the offering straightforward to scope, while the single-region footprint narrows its suitability for organizations requiring multiple geographic locations. Customers should also review configuration availability before planning deployment, since some options are marked unavailable or pre-order. Choose GIGAGPU for UK-based GPU workloads needing root access and framework compatibility; consider a broader hosting provider when regional coverage or managed operations matter more than dedicated GPU specialization.
Your product? Our editors can test GIGAGPU Dedicated GPU Servers in depth and publish a review, labelled as paid · from $149/mo →
GIGAGPU Dedicated GPU Servers pricing
All 12 GIGAGPU Dedicated GPU Servers plans and prices →
GIGAGPU Dedicated GPU Servers fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Server management | Unmanaged |
| Storage type | Nvme |
| Included bandwidth | Not verified |
| IPv4 addresses | 1 addresses |
| DDoS protection | Yes |
| Backup included | Not verified |
| Datacenter regions | 1 regions |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | GDPR |
| Support | Docs · 24/7 |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 10 integrations: Docker, Kubernetes, PyTorch, TensorFlow, JAX, vLLM … |
| Pricing | Paid (source) |
| Website | gigagpu.com |
| Facts checked | 22 Sep 2026 |
GIGAGPU Dedicated GPU Servers integrations
GIGAGPU Dedicated GPU Servers lists 10 integrations on its own site.
- Docker
- Kubernetes
- PyTorch
- TensorFlow
- JAX
- vLLM
- Ollama
- CUDA
- ROCm
- OpenCL
Alternatives to GIGAGPU Dedicated GPU Servers
- OVHcloud Dedicated ServersDedicated OVHcloud hardware with NVMe storage, private networking, and default anti-DDoS protection.9.3
- Hetzner Dedicated Root ServersA practical choice for unmanaged dedicated servers, with limited regions and no included IPv4.9.2
- Scaleway Elastic MetalA strong fit for API-managed bare metal linked to a wider cloud stack.9.1
See all GIGAGPU Dedicated GPU Servers alternatives →
Also Ranked In
GIGAGPU Dedicated GPU Servers is ranked in 2 of our directories.
Used GIGAGPU Dedicated GPU Servers? Be the first to review it
The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used GIGAGPU Dedicated GPU Servers for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
Write a reviewTwo minutes · verified accounts only · read by an editor before it appears
Featured on iTechGuides
GIGAGPU Dedicated GPU Servers is listed in our Dedicated Server Hosting directory. Add the badge to your site — it links back to this page.
<a href="https://www.itechguides.com/products/gigagpu-dedicated-gpu-servers/"><img src="https://www.itechguides.com/best/badge/gigagpu-dedicated-gpu-servers.svg" alt="Featured on iTechGuides" width="230" height="46"></a>
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update



