AI infrastructure consulting
Planning private AI infrastructure?
Give us your workload, users, budget and timeline. Within 48 hours, receive an initial cloud/on-prem architecture, GPU/server specification, BOM and expected infrastructure cost.

From the GPU to the guardrails
Compute, deployment, retrieval, operations and security - one team.
GPU & accelerated compute
Right-sized GPU infrastructure for training and inference.
- GPU server & workstation specification
- Single-node to multi-node cluster design
- Cloud GPU vs. on-prem cost modelling
- Capacity planning for training & inference
LLM & private AI deployment
Open and commercial models, deployed under your control.
- Open-weight model deployment (Llama, Mistral, Qwen)
- Commercial API integration (OpenAI, Anthropic, Gemini)
- Private / VPC and on-prem hosting options
- Guardrails, evaluation & observability
RAG & retrieval systems
Retrieval pipelines that ground models in your data.
- Vector database setup (pgvector, Pinecone, Weaviate)
- Ingestion, chunking & embedding pipelines
- Hybrid search & re-ranking
- Citation, evaluation & feedback loops
MLOps & inference optimisation
The operational layer that keeps AI reliable in production.
- CI/CD for models & prompts
- Inference optimisation (quantisation, batching, caching)
- Token & GPU cost monitoring
- Drift, latency & quality observability
Cloud & on-prem hybrid
Architectures spanning managed cloud and owned hardware.
- AWS, Azure & GCP AI services
- On-prem GPU integration
- Hybrid networking & data movement
- Workload placement & burst strategy
Secure & compliant deployment
Deployment patterns aligned to your security requirements.
- Network isolation & access control
- Secrets, key & model governance
- Audit logging & data-residency options
- GDPR-aware data handling by design
// software meets hardware
Need the GPUs, not just the guidance?
We source the GPU workstations, AI servers and HPC clusters too - same partner-led process, one place.
Explore AI & HPC hardware procurementNeed to deploy private AI?
We design it, validate it, source it, deploy it and help run it.
Give us your workload, users, budget and timeline. Within 48 hours we'll give you a validated cloud/on-prem architecture, BOM, expected costs and sourcing options.





