AI Cloud & Managed GPU Services
GPU as a service, built for AI workloads. Dedicated and shared GPU cloud environments with the performance of bare metal, managed end-to-end so your team ships models instead of debugging infrastructure.
Private AI Cloud Without Hyperscaler Lock-In
Every environment we build is purpose-configured for training and inference workloads, running on NVIDIA A100, H100 and HGX silicon with RDMA-accelerated storage. No generic compute, no abstraction layers throttling performance. You get a private cloud AI environment with dedicated support, predictable pricing and full control over your stack.
Private AI Cloud (Dedicated or Shared)
Dedicated or shared GPU cloud environments configured to your exact compute density requirements. Deployment models range from fully isolated bare-metal clusters to high-performance shared environments. Our infrastructure is tuned for the heavy parallel processing required by LLMs and generative models, not repurposed general-purpose compute.
Managed Kubeflow & ML Platforms
A fully managed stack featuring Kubeflow and MLOps tooling, pre-configured for our GPU hardware. We handle cluster orchestration, patching, and driver updates. Your data scientists get a production-ready ML platform without the DevOps overhead.
Hybrid & Burst Compute Integration
Our architecture supports hybrid workflows, bridging your existing on-premise data center with our GPU cloud infrastructure. Secure tunnels and data synchronisation layers let you burst into our environment when internal capacity is reached, giving you access to GPU for model training without a permanent hardware commitment.
Secure Onboarding and Access Control
Enterprise-grade security from the first login. We implement Identity and Access Management (IAM), Multi-Factor Authentication (MFA), and encrypted VPN access. Every tenant is siloed at the network level, ensuring your datasets and model weights are never exposed.
Predictable Pricing and SLAs
Transparent pricing with guaranteed Service Level Agreements. No volatile per-hour metering or surprise egress charges. Contracts are built for stability, giving you the uptime and support required for mission-critical AI workloads on a GPU as a service model that stays predictable as you scale.
Ping map
Live latency from our data centre to major global regions. Sub-50ms across most of Europe, with consistent low-latency connectivity to North America and the Middle East.
Contact us
Looking for managed GPU cloud or need help scoping a private AI environment for your workloads? Fill out the form and our team will get back to you to discuss your requirements.
