GPU sourcing · deployment · operations
GPU infrastructure for production workloads.
We source cloud capacity and hardware, deploy the platform, and remain accountable for day-to-day operations. One technical team from requirement to production.
Infrastructure network
Delivery backed by established infrastructure.
We work directly with the operators behind selected customer deployments.
Capabilities
Infrastructure work, handled end to end.
Start with capacity only, or keep one engineering team responsible for the entire operating stack.
GPU capacity
On-demand, reserved and dedicated capacity sourced across independent providers.
02Managed infrastructure
Deployment and operation of the complete GPU platform, from drivers to monitoring.
03Private deployments
Single-tenant infrastructure in your cloud account, private network or data centre.
04GPU hardware
New and refurbished enterprise hardware procurement, brokerage and deployment.
Hardware coverage
Capacity across proven and current NVIDIA platforms.
Availability and commercial terms vary by region and commitment. We compare suitable supply against the workload rather than steering every requirement to one provider.
Workloads
Architecture starts with the workload.
GPU type, topology and operating model are selected against actual memory, throughput, security and budget constraints.
LLM Inference
Infrastructure built to serve large language models in production.
Model Training
Multi-GPU and multi-node infrastructure for training at scale.
Fine-Tuning
Infrastructure for LoRA, QLoRA and full fine-tuning workflows.
Image & Video Generation
Scalable GPU infrastructure for generative media workloads.
Private AI
Dedicated AI infrastructure for organizations that control their own data.
GPU Kubernetes
Kubernetes infrastructure designed for GPU-scheduled workloads.
Working model
A defined path to running infrastructure.
- 01
Requirements
Workload, GPU profile, location, network, compliance and delivery timeline.
- 02
Technical and commercial review
A comparison of viable supply, architecture and operating models.
- 03
Deployment
Provisioning, platform configuration, acceptance checks and handover.
- 04
Operations
Monitoring, changes, incident response and capacity planning where required.
Operating principles
Built around accountable delivery.
Direct access to people who understand both the infrastructure and the operating constraints around it.
Independent sourcing
Requirements are compared across providers and deployment models instead of being fitted to one inventory pool.
Engineering continuity
The same technical context carries from initial sizing through deployment, changes and production support.
Clear accountability
Capacity, deployment and ongoing operations can sit under one commercial and operational relationship.
Practical lifecycle support
We support short capacity requirements, steady production platforms and dedicated infrastructure programmes.
Discuss an infrastructure requirement.
Send the workload, GPU profile, location and timeline. We'll respond with the practical next questions and available routes.