DGX & HGX Blackwell
NVIDIA's reference AI platforms for large-scale training and inference.
NVIDIA Blackwell-ready infrastructure
Compute for the age of intelligence.
Enterprise AI servers from the world's leading manufacturers, and a GPU cloud that turns them into capacity you can use on demand. Buy it, rent it, or scale with both.
NVIDIA Blackwell✦
Dell PowerEdge✦
HPE ProLiant✦
HPE Cray✦
NVIDIA DGX✦
NVIDIA HGX✦
Supermicro✦
Lenovo ThinkSystem✦
AMD Instinct✦
GB300 NVL72✦
Blackwell
Current-generation NVIDIA GPU architecture, from single nodes to rack-scale systems.
Bare metal
Dedicated hardware with no noisy neighbours and nothing between your code and the silicon.
Air & liquid
Cooling options for any data centre, from standard racks to high-density deployments.
End to end
Sizing, supply, deployment and support, all from one partner.
01 — AI Servers
Hardware built for
serious AI workloads.
We supply and deploy GPU servers from trusted global brands, each configured for your models, your data and your facility.
PowerEdge XE Series
Purpose-built Dell AI servers for enterprise data centres, in air- or liquid-cooled designs.
ProLiant Compute & Cray XD
HPE's GPU-dense systems for AI and HPC, built for reliability at scale.
GB200 / GB300 NVL72
Entire racks that act as a single giant GPU, for frontier-scale models.
GPU SuperServers
Flexible, modular building blocks for custom AI clusters.
Lenovo, AMD & beyond
Need a specific platform? We source and integrate across the ecosystem.
02 — GPU as a Service
The cloud, rebuilt
around the GPU.
Spin up GPU nodes in minutes and scale to clusters when you need to. Your teams focus on models while we run the infrastructure.
cluster.live
nodes online
⚡
On-demand GPU instances
Launch single or multi-GPU instances in minutes and release them when the job is done.
◈
Reserved clusters
Dedicated capacity for long training runs, held for your team.
▣
Bare-metal nodes
Full root access to the hardware, with no virtualisation overhead.
◎
Inference endpoints
Deploy models behind production-ready endpoints that autoscale with demand.
⎈
Managed Kubernetes & Slurm
Orchestration that works out of the box, so you can submit jobs instead of managing schedulers.
◇
Preloaded AI stack
CUDA, PyTorch and popular frameworks are ready the moment a node boots.
≋
Fast storage & networking
High-throughput storage and low-latency interconnects sit right next to your GPUs.
03 — How it works
From conversation
to compute.
01
Discover
We learn your workloads, timelines and constraints.
02
Design
We recommend the right mix of owned servers and cloud GPUs.
03
Deploy
Hardware goes into your racks or ours, or capacity goes live in the cloud.
04
Scale
Ongoing support, monitoring and expansion as your AI grows.
04 — Use cases
Power whatever
you're building.
LLM training→
Fine-tuning & RAG→
Real-time inference→
Computer vision→
Generative media→
Scientific & HPC→
Sovereign & private AI→
Let's talk
Ready to build your
AI infrastructure?
Tell us what you're working on and our team will get back to you.