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AI-Powered Compute in the UK

GPU-accelerated servers with powerful specs — perfect for rendering, simulations, AI inference, and media workstations.

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DAM-EP-YC7402-LON-24C28G-1A3GP
  • Dual AMD EPYC 7402 – 24 Cores / 48 Threads @ 2.8 GHz
     Processor
  • 1 × NVIDIA A30 – 24 GB HBM2, Ampere architecture, optimized for AI inference & HPC
    GPU
  • 128 GB DDR4 ECC Registered RAM – high bandwidth and parallel processing support
    Memory
  • 2 × 960 GB Enterprise SSD – fast I/O, RAID-ready for redundancy
    Storage
  • 30 TB Monthly Transfer @ 1 Gbps uplink – ideal for heavy workloads & remote teams
    Bandwidth
  • London – Low-latency connectivity throughout the UK & Europe
    Location
  • Excellent for model training, scientific computing, video rendering, virtualization, and AI-based applications
    Use Case
  • A30 delivers superior multi-instance GPU (MIG) support for efficient workload partitioning
    Performance
  • Full root access, remote KVM/IPMI, OS of your choice (Ubuntu, CentOS, Windows, etc.)
    Control
  • Hosted in Tier III+ data center with 99.99% uptime SLA, DDoS protection, and redundant networking Infrastructure
DAM-EP-YC7543-LON-32C28G-1H1GP
  • Dual AMD EPYC 7543 – 32 Cores / 64 Threads @ 2.8 GHz
    Processor
  • 128 GB DDR4 ECC Registered RAM – optimized for data-intensive model training and parallel compute
    Memory
  • 1 × NVIDIA H100 80 GB PCIe – Hopper architecture with Transformer Engine, built for GenAI, LLMs, and scientific computing
    GPU
  • 2 × 960 GB NVMe SSD – ultra-fast access for datasets and model checkpoints
    Storage
  • 30 TB Transfer @ 1 Gbps Uplink
    Bandwidth
  • London, UK – enterprise-grade infrastructure with minimal latency across Europe
    Location
  • Ideal for LLM development (GPT, BERT, Mistral, etc.), multimodal AI, scientific simulations, and GPU compute environments
    Use Case
  • Industry-leading Tensor Core performance and FP8/FP16 throughput — ideal for AI and analytics at scale
    Performance
  • Full root access, optional preconfigured environments (CUDA, cuDNN, PyTorch, TensorFlow)
    Control
  • Redundant power, 99.99% uptime SLA, physical security, and optional private 10–100 Gbps networking Infrastructure
DAM-EP-YC7543-LON-32C28G-L40GP
  • Dual AMD EPYC 7543 – 32 Cores / 64 Threads @ 2.8 GHz
    Processor
  • 128 GB DDR4 ECC Registered RAM – high-capacity memory for parallel compute and AI model handling
    Memory
  • 1 × NVIDIA L40S – Ada Lovelace architecture, 48 GB GDDR6, ideal for AI/ML training, inference, and rendering
    GPU
  • 2 × 960 GB Enterprise SSD – high-speed storage for datasets, codebases, and checkpoints
    Storage
  • 30 TB Monthly Transfer @ 1 Gbps uplink
    Bandwidth
  • London – Tier III+ data center with ultra-low latency across Europe
    Location
  • Best suited for LLM development, AI fine-tuning, Stable Diffusion, GPU-based rendering, and CAD/CAE workflows
    Use Case
  • Combines multi-core EPYC processing with massive GPU acceleration for demanding tasks
    Performance
  • Root-level access, KVM/IPMI, and preinstalled CUDA/cuDNN/ROCm on request
    Control
  • High-availability environment with redundant power, DDoS protection, and 99.99% uptime SLA Infrastructure
DAM-EP-YC9224-LON-24C25G-1H2GP
  • Dual AMD EPYC 9224 – 24 Cores / 48 Threads @ 2.5 GHz (Zen 4)
    Processor
  • 128 GB DDR5 ECC Registered RAM – high-throughput memory for AI data pipelines
    Memory
  • 1 × NVIDIA H200 96 GB HBM3 – world-class transformer acceleration with Hopper architecture
    GPU
  • 2 × 960 GB NVMe SSD – fast storage for active datasets and training checkpoints
    Storage
  • 30 TB Transfer @ 1 Gbps Uplink
    Bandwidth
  • London, UK – Tier IV Data Center with redundant connectivity across Europe
    Location
  • Optimized for LLM training/inference (GPT, LLaMA, Claude), generative AI, multi-modal compute, and AI-as-a-Service platforms
    Use Case
  • Cutting-edge H200 memory bandwidth and Hopper FP8 precision for large-scale AI acceleration
    Performance
  • Full root access, Docker/VM support, optional ML frameworks pre-installed (CUDA, PyTorch, TensorFlow)
    Control
  • 99.99% SLA, multi-path networking, secured racks, and hardware RAID options Infrastructure
DAM-EP-YC9334-LON-32C27G-2H1GP
  • Dual AMD EPYC 9334 – 32 Cores / 64 Threads @ 2.7 GHz (Zen 4)
    Processor
  • 128 GB DDR5 ECC Registered RAM – high-throughput performance for memory-intensive parallel computing
    Memory
  • 2 × NVIDIA H100 80 GB SXM – 2 PFLOPS AI compute with Transformer Engine and Hopper architecture
    GPU
  • 2 × 960 GB NVMe SSD – low-latency disk I/O for large AI training data
    Storage
  • 30 TB Monthly Transfer @ 10 Gbps Dedicated Uplink
    Bandwidth
  • London, UK – Tier IV Facility with AI-ready cooling and power redundancy
    Location
  • Large Language Model (LLM) training, generative AI, HPC, molecular simulations, AI inferencing-as-a-service
    Use Case
  • 3.35 TB/s GPU memory bandwidth (combined), FP8 precision, NVLink-ready, MIG partitions supported
    Performance
  • Root access, virtualization support, pre-installed CUDA, PyTorch, TensorFlow (optional)
    Control
  • Hardened security, multi-homed network, enterprise power & cooling for stable long-duration workloads Infrastructure
DIX-XX-5218XX-LON-16C23G-MI2GP
  • Dual Intel Xeon 5218 – 16 Cores / 32 Threads @ 2.3 GHz
    Processor
  • 64 GB DDR4 ECC Registered RAM – ample memory for GPU-bound applications and workloads
    Memory
  • 1 × AMD Instinct MI210 – 64 GB HBM2e, ideal for AI/ML training, scientific computation, and large matrix operations
    GPU
  • 2 × 2 TB SATA – 4 TB raw capacity for datasets, logs, and media storage
    Storage
  • 30 TB Monthly Transfer @ 1 Gbps uplink
    Bandwidth
  • London – low-latency GPU compute from a Tier III+ data center
    Location
  • Designed for AI workloads, deep learning models, LLM training, high-throughput computing (HTC), and GPU-accelerated pipelines
    Use Case
  • AMD CDNA2 architecture for outstanding FP64, FP32, and BF16 performance
    Performance
  • Full root access, remote KVM, GPU driver installation available
    Control
  • Secure, redundant environment with hardware-level failover and 24/7 support Infrastructure
DIX-XX-5318YX-LON-24C21G-1H1GP
  • Dual Intel Xeon 5318Y – 24 Cores / 48 Threads @ 2.1 GHz
    Processor
  • 1 × NVIDIA H100 80 GB – Hopper architecture for AI training, inference, and HPC
    GPU
  • 128 GB DDR4 ECC Registered RAM – optimized for compute-heavy AI frameworks
    Memory
  • 2 × 960 GB Enterprise SSD – high-speed access for model and dataset storage (RAID support optional)
    Storage
  • 30 TB Monthly Transfer @ 1 Gbps – reliable network for AI workloads and remote training
    Bandwidth
  • London – Tier III+ datacenter with excellent UK & EU latency
    Location
  • Designed for large-scale deep learning, LLM fine-tuning, scientific simulation, generative AI, and inference pipelines
    Use Case
  • The NVIDIA H100 provides unparalleled AI compute throughput, supporting transformer models, CUDA, and TensorFlow libraries
    Performance
  • Full root/admin access, choice of OS, Docker and GPU passthrough enabled
    Control
  • Enterprise-grade datacenter with 99.99% uptime SLA, 24/7 DDoS protection, and remote KVM/IPMI access Infrastructure
DIX-XX-5318YX-LON-24C21G-1L4GP
  • Dual Intel Xeon 5318Y – 24 Cores / 48 Threads @ 2.1 GHz
    Processor
  • 1 × NVIDIA L4 – 24 GB GDDR6
    GPU
  • 128 GB DDR4 ECC Registered RAM – handles large-scale AI/ML processing
    Memory
  • 2 × 960 GB Enterprise SSD – fast and redundant SSD setup (RAID available)
    Storage
  • 30 TB Monthly Transfer @ 1 Gbps – reliable for AI, rendering, and inference loads
    Bandwidth
  • London – low-latency for UK & European access, housed in Tier III+ data center
    Location
  • Ideal for deep learning inference, generative AI workloads, real-time video encoding, and 3D compute
    Use Case
  • NVIDIA L4 excels in low-power, high-efficiency inference; supports CUDA, TensorRT, and popular AI frameworks
    Performance
  • Full root/admin access, customizable OS (Ubuntu, Windows, RHEL); supports Docker & GPU passthrough
    Control
  • Enterprise-grade network, 24/7 DDoS protection, IPMI access, and 99.99% uptime SLA Infrastructure
DIX-XX-5318YX-LON-24C21G-1T4GP
  • Dual AMD EPYC 7543 – 32 Cores @ 2.8 GHz Processor
  • NVIDIA L40S – next-gen acceleration for AI, rendering, and compute GPU
  • 128 GB DDR4 ECC RAM – optimized for heavy parallel processing Memory
  • 2 × 960 GB SSD – ultra-fast NVMe-like I/O performance Storage
  • 30 TB Premium Bandwidth – ideal for large data sets and workloads Bandwidth
  • Hosted in Washington DC – low-latency East Coast delivery Location
  • Built for AI/ML workloads, deep learning, 3D rendering, VFX, and large-scale scientific computing Use Case
  • Root access and GPU passthrough support Control
  • Enterprise data center with redundant cooling, power, and networking for maximum uptime Reliability
SAM-EP-YC-7702P-LON-64C20G-1L4GP
  • AMD EPYC 7702P – 64 Cores @ 2.0 GHz (128 Threads, Zen 2)
    Processor
  • NVIDIA L4 – 24 GB GDDR6 – optimized for AI inference, media, and virtual workstation workloads
    GPU
  • 64 GB DDR4 ECC Registered RAM – supports multi-threaded tasks and memory-bound GPU ops
    Memory
  • 2 × 960 GB SSD – fast and resilient storage ideal for OS, frameworks, and large models
    Storage
  • 30 TB Premium Bandwidth – capable of handling real-time inference traffic and dataset streaming
    Bandwidth
  • Hosted in London – low-latency Tier III facility with top-tier connectivity to UK and Europe
    Location
  • Ideal for AI model serving, generative media pipelines, LLM deployment, and video processing
    Use Case
  • CPU-GPU hybrid architecture balances deep learning compute with flexible threading and IO
    Performance
  • Full root access, supports PyTorch, TensorFlow, CUDA, and containerized deployment with Docker or Kubernetes
    Control
  • Hosted in enterprise-grade data center with 99.99% uptime, GPU passthrough, and security-hardened environment Infrastructure