From on-demand GPU instances to multi-rack private clusters — built on AMD Instinct accelerators.
On-demand AMD Instinct accelerators for AI training, fine-tuning, and inference. Provisioned as bare-metal instances with no hypervisor overhead.
Best for: Large language models, foundation model training, enterprise AI
Best for: Large-scale inference, agentic AI, model serving, enterprise AI
Best for: Next-generation workloads, frontier model training, high-throughput inference
Multi-GPU, bare-metal deployments for teams running training jobs at scale. Single-tenant, fully isolated, configured to your specifications.
Use case: AI startups, LLM fine-tuning, enterprise AI
Use case: Foundation model training, AI research labs, enterprise-scale AI
Note: Custom design, deployment timeline, and pricing based on requirements
Select your GPU configuration and networking. We'll assemble and deploy to your specifications.
Tell us what you're training, serving, or simulating — model size, throughput targets, datasets, and timeline.
We map your workload to GPU count, memory, interconnect topology, and storage fabric — with a validated reference design.
Drivers, ROCm stack, schedulers and frameworks are pre-configured and burned in against benchmark workloads.
Racked, tested, and handed over — with monitoring, documentation, and ongoing UK-based support.