Custom AI Infrastructure by HPC Specialists
GPUmachines designs and builds custom NVIDIA GPU servers, AI workstations, InfiniBand and Ethernet GPU clusters, scale-out storage, and managed GPU cloud for deep-learning training, inference, HPC, bioinformatics, financial modelling, and VFX rendering. UK and EU delivery, full HPC engineering support, custom rack integration.
GPU Servers for AI Training
Production-grade NVIDIA GPU servers for LLM training, deep learning, fine-tuning, and multi-GPU distributed workloads. We ship NVIDIA HGX H100, HGX H200 and HGX B200 platforms, plus MGX reference designs, with NVLink/NVSwitch interconnect for tightly-coupled training across 8 GPUs per node and beyond.
- NVIDIA HGX H100 8-GPU AI training servers — Hopper, 80 GB HBM3, NVLink 4
- NVIDIA HGX H200 8-GPU AI training servers — 141 GB HBM3e for large LLM training
- NVIDIA HGX B200 8-GPU AI training servers — Blackwell, 192 GB HBM3e, FP4/FP8 acceleration
- Configure a custom multi-GPU AI training server
Pair with InfiniBand NDR/XDR for multi-node scaling and parallel file systems for high-throughput dataset I/O.
GPU Infrastructure for Inference
Dedicated NVIDIA GPU infrastructure for enterprise AI inference and agentic AI. Run DeepSeek, Llama, Qwen, Mistral, and other open-weight LLMs entirely on your own hardware — private AI cloud with no data egress. We size systems for low-latency single-prompt inference, high-throughput batch serving, and dense agent fleets.
- Single-node L40S, H100, H200 inference servers for production LLM serving
- HGX B200 nodes for trillion-parameter model serving with FP4 acceleration
- Private agent fleet — sovereign AI inference
- Rent inference capacity from GPUmachines Cloud
AI Cluster Networking
Non-blocking GPU cluster fabrics built on NVIDIA networking. We engineer InfiniBand Fat-Tree topologies, Spectrum-X Ethernet for AI, and lossless RoCE designs from 100GbE through 400GbE and 800GbE rail-optimised fabrics.
AI Storage Platforms
High-performance scale-out storage purpose-built for GPU clusters: WEKA Data Platform, DDN EXAScaler and AI400X2, open-source Lustre, and Intel DAOS. NVMe-over-Fabrics, RDMA, and direct-to-GPU data paths for HPC storage and large-scale AI training datasets.
- Scale-out storage for AI — WEKA, DDN, Lustre, DAOS
- Tiered NVMe + object storage architectures sized to model checkpoint and dataset profiles
Industries We Serve
- Universities & research institutes — HPC clusters, shared GPU services, research computing
- Healthcare & bioinformatics — genomics pipelines, medical imaging, drug discovery
- Financial services — quantitative research, risk modelling, low-latency inference
- VFX & rendering — GPU render farms, real-time ray tracing, virtual production
- Manufacturing & engineering — CAE simulation, digital twins, generative design
- AI labs & enterprises — frontier model training, fine-tuning, private agent platforms
Why GPUmachines
- Custom HPC engineering — every build sized, validated and burned-in by specialists
- Full rack integration and on-site or remote cluster deployment
- Storage expertise across WEKA, DDN, Lustre and DAOS
- Networking expertise across NVIDIA InfiniBand and Spectrum-X Ethernet
- Buy & host services — own the hardware, we run the colocation
- UK and European delivery, EU/UK compliance, full lifecycle support
Featured Systems
- NVIDIA H100 GPU systems — HGX H100 8-GPU training nodes
- NVIDIA H200 GPU systems — HGX H200 for large-context LLM workloads
- NVIDIA B200 GPU systems — Blackwell HGX B200 frontier training
- RTX PRO workstations — desktop and rack-mount GPU workstations
- InfiniBand AI clusters — Fat-Tree NDR/XDR fabrics
- Ethernet AI clusters — Spectrum-X Spine-Leaf, RoCE
Explore
Frequently Asked Questions
What GPU servers do you offer?
GPUmachines designs custom NVIDIA GPU servers including HGX H100, HGX H200, HGX B200, MGX platforms, RTX PRO workstations, multi-GPU 4U/5U/8U systems, and 1U/2U inference nodes. Every system is built to order with your choice of CPUs, GPUs, memory, NVMe storage, and InfiniBand or Ethernet networking.
What is the difference between NVIDIA H100, H200 and B200?
The NVIDIA H100 uses Hopper architecture with 80 GB HBM3. The H200 keeps Hopper but upgrades to 141 GB HBM3e at higher bandwidth, ideal for LLM inference. The B200 is the new Blackwell generation with 192 GB HBM3e and roughly 2.5× the training throughput of H100 — built for frontier model training and dense agentic inference.
Do you provide AI clusters?
Yes. We design and deploy production AI clusters on InfiniBand NDR/XDR Fat-Tree fabrics and NVIDIA Spectrum-X Ethernet with RoCE, integrated with WEKA, DDN, Lustre or DAOS scale-out storage. Cluster sizes range from a handful of HGX nodes to multi-rack pods.
Do you provide GPU cloud services?
Yes. GPUmachines Cloud offers on-demand and reserved NVIDIA H100, H200 and B200 instances on InfiniBand-connected nodes. We also provide a Buy & Host service for customers who want to own hardware and run it in our Tier III colocation facilities.
Can you design custom AI infrastructure?
Yes. Our HPC engineering team handles bespoke server builds, full rack integration, cluster networking, parallel file system deployment, and on-site or remote commissioning across the UK and Europe.
Contact GPUmachines
Email hello@gpumachines.com or call +44 20 3488 3530.
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