Dedicated Servers

GPU Dedicated Servers in the UK

NVIDIA A100, H100, and RTX 4090 bare metal - rent by the month, not by the GPU-hour

NVIDIA GPU server rack in UK data centre

About This Feature

GPU Dedicated Servers in the UK

GPU Dedicated Servers in the UK from Glitch Servers provides full bare-metal performance with no virtualisation overhead - backed by AMD Ryzen hardware, NVMe Gen4 storage, and UK-native routing through AS212868. GPU compute rented from hyperscaler cloud platforms is expensive precisely because the demand is high and the billing model is per-hour per GPU. Our UK GPU dedicated servers rent the entire machine - CPU, RAM, NVMe storage, networking, and your choice of GPU card - for a fixed monthly price. No per-GPU-hour charges, no spot pricing surprises, no shared GPU memory with other workloads. Configurations are available with NVIDIA A100 80GB PCIe, H100 SXM5, RTX 4090, and RTX 3090 Ti cards, paired with Intel Xeon CPUs, DDR4 ECC RAM, and NVMe Gen4 storage. IPMI out-of-band access and always-on DDoS protection are included.

Hardware on Glitch dedicated server plans includes Intel Xeon and AMD Ryzen options with DDR4 ECC RAM configurations up to 512 GB and NVMe Gen4 storage in RAID configurations. Each server ships with a 1Gbps unmetered port as standard, with a 10Gbps burst port available as an upgrade for transfer-heavy workloads.

The network operates through AS212868 with direct LINX and LONAP peering and NTT/GTT Tier-1 transit, delivering consistent low-latency paths to UK ISPs and international destinations. Corero Smartwall inline DDoS mitigation protects every server at the network edge without requiring a separate scrubbing appliance or additional monthly charge.

Managed and unmanaged configurations are available. Unmanaged servers ship with a base OS install and full root access. Managed plans add proactive monitoring, OS patching, and 24/7 emergency response. Full hardware specifications and pricing are on the dedicated servers page.

External resources: LINX (London Internet Exchange) and RIPE NCC (European IP registry).

Key Benefits

What You Get with Dedicated Servers

Every plan includes these capabilities as standard - no tier-gating, no hidden extras.

NVIDIA A100 & H100

Hopper-generation H100 SXM5 and Ampere A100 80GB configurations available. Full GPU memory per card - no MIG partition sharing.

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Fixed Monthly Pricing

Pay one monthly price for the entire server. No per-GPU-hour billing, no spot market volatility, no surprise charges.

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NVLink Multi-GPU Support

Multi-GPU configurations with NVLink bridge for models too large for a single GPU's memory - A100 and H100 NVLink available.

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CUDA Pre-installed

Ubuntu 22.04 with CUDA 12.x, cuDNN 8.x, and NCCL pre-installed. PyTorch and TensorFlow environment ready in under 5 minutes.

Technical Specifications

Infrastructure That Backs This Up

Real specs on real hardware - not marketing numbers.

Hardware

GPU options: RTX 4090 24GB, A100 80GB PCIe, H100 SXM5 80GB, L40S 48GB

Network

CPU: Intel Xeon 7003/9004 or Intel Xeon and AMD Ryzen

Protection

Storage: NVMe Gen4, 2TB–16TB depending on configuration

NVIDIA A100 GPU cards in dedicated server chassis

Use Cases

Who This Is For

This feature is particularly well suited to these workloads and teams.

1

AI Model Training

Training deep learning models on PyTorch or TensorFlow - dedicated GPU servers with NVMe storage provide the I/O throughput and VRAM needed for large-scale training runs without cloud spot-instance interruptions.

2

Rendering & VFX

3D rendering, motion graphics, and VFX pipelines where GPU-accelerated rendering (Blender Cycles, V-Ray GPU, Octane) requires sustained GPU compute without throttling.

3

Scientific Simulation

Computational fluid dynamics, molecular dynamics, and physics simulations where GPU parallelism (CUDA/OpenCL) accelerates workloads by 10–100x compared to CPU-only execution.

FAQ

Frequently Asked Questions

Current stock includes NVIDIA A100 80GB PCIe, NVIDIA RTX 4090 24GB, NVIDIA RTX 3090 Ti 24GB, and L40S 48GB. H100 configurations are available to order. Availability varies - contact us to confirm current stock.
Yes. Our GPU servers run PyTorch, TensorFlow, JAX, and other ML frameworks on Ubuntu 22.04 or 24.04 with CUDA 12.x pre-installed. NVLINK connections are available on multi-GPU configurations.
For workloads running more than ~300 hours per month, yes - typically significantly cheaper. An NVIDIA A100 cloud instance costs ~£3/hour on hyperscalers. Our monthly dedicated pricing works out below £1/hour for equivalent GPU memory.

Deploy a GPU server from £299/mo

NVIDIA A100, RTX 4090, H100. Fixed monthly pricing, no GPU-hour charges.

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