Services

Detailed AI Infrastructure Practice Areas

Ten focused practice areas covering the full stack — facility, hardware, fabric, orchestration, runtime, platform, and applications. Engage on any one, or end-to-end.

services/index

/01 GPU Infrastructure Strategy→
/02 Datacentre & AI Factory Readiness→
/03 GPU Cluster Architecture→
/04 Networking & Storage→
/05 Inference Platform Engineering→
/06 Training & Fine-tuning→
/07 Private, Local & Sovereign AI→
/08 Decentralised GPU Networks→
/09 Security for AI Platforms→
/10 SRE, Observability & FinOps→

/01

GPU Infrastructure Strategy

Workload-first analysis before any procurement decision is locked in.

Workload analysis

·Inference
·Fine-tuning
·Training
·RAG
·Agents
·Batch
·Simulation
·HPC-adjacent

Hardware selection

·A100 / H100 / H200
·B200 / GB200 / GB300-class
·DGX / HGX / SuperPOD
·OEM, cloud, colo, hybrid

Economics

·Build vs buy
·CapEx vs OpEx
·TCO modelling
·Cost per token
·Tokens per watt
·Utilisation targets

Procurement

·Vendor evaluation
·Lead-time risk
·Allocation strategy

/02

Datacentre & AI Factory Readiness

Technical advisory and integration leadership in coordination with certified facility, MEP, electrical, and cooling specialists.

Power & density

·Rack density
·Power delivery assumptions
·UPS and redundancy

Cooling

·Air
·Rear-door heat exchanger
·Direct liquid cooling
·Hybrid approaches
·Thermal constraints

Connectivity

·Network cabling and topology
·Storage fabric
·Facility expansion risk

Partner coordination

·Colo / datacentre selection
·MEP, electrical, cooling, networking
·OEM specialists

/03

GPU Cluster Architecture

Kubernetes, Slurm, Ray, and queueing systems wired into a single multi-tenant operating model.

Kubernetes GPU

·NVIDIA GPU Operator
·MIG
·Device plugins
·DCGM metrics

Scheduling

·Slurm
·Ray
·Volcano
·Kueue
·Spot / preemptible
·Priority classes

Tenancy

·Multi-tenant namespaces
·Quotas
·Queueing
·Chargeback

Delivery

·Storage classes
·Model registry
·Image registry
·CI/CD for ML

/04

Networking & Storage

Where AI clusters actually fail — and what to design before the cables go in.

Fabrics

·InfiniBand
·RoCE
·Spectrum-X Ethernet
·NVLink / NVSwitch domains

Traffic

·East-west traffic
·Failure-domain design

Storage

·Throughput
·Checkpointing
·Object storage
·Parallel filesystems

Data tiering

·Dataset caching
·Hot / warm / cold tiers

/05

Inference Platform Engineering

Production inference for LLMs, multimodal models, and agent backends.

Runtimes

·vLLM
·SGLang
·Triton
·TensorRT-LLM
·NIM-style services
·Dynamo-style distributed inference

Performance

·KV-cache strategy
·Prefix caching
·Continuous batching
·Speculative decoding
·Quantisation

Routing & scale

·Model routing
·Autoscaling
·Multi-model serving
·GPU memory planning

Edge & operations

·API gateway
·Rate limiting
·Auth
·Chargeback
·Observability
·Latency / throughput benchmarking

/06

Training & Fine-tuning

Distributed training that survives node failures, network drops, and long runs.

Frameworks

·PyTorch
·DDP
·FSDP
·DiLoCo

Pipelines

·Dataset pipelines
·Checkpoint strategy
·Fault tolerance
·Distributed dataloaders

Experimentation

·Experiment tracking
·Evaluation harnesses
·Fine-tuning workflows
·LoRA / QLoRA

Operations

·Training observability
·GPU utilisation optimisation

/07

Private, Local & Sovereign AI

Production AI for organisations that cannot send data to public APIs.

Deployment patterns

·On-prem
·Private cloud
·Sovereign cloud
·Hybrid
·Air-gapped / restricted-network

Data

·Data-residency
·No public API dependency
·PII handling
·Audit trails

Platform

·Tenant isolation
·Policy enforcement
·Secure RAG
·Private vector stores
·Internal agent platforms

/08

Decentralised GPU Networks

Globally distributed GPU compute, P2P coordination, and trustless verification.

Scheduling

·Globally distributed scheduling
·Latency-aware routing
·Fault tolerance

Network

·P2P architecture
·Miner / validator infrastructure

Economics

·Trustless compute verification
·Metering & billing
·Reputation and scoring

Workloads

·Distributed inference
·Distributed training coordination

/09

Security for AI Platforms

Securing model-serving systems, agents, and multi-tenant AI infrastructure.

Model & agent

·Prompt-injection controls
·Tool-call governance
·Agent policy gates
·Model access control

Data

·PII scanning
·Secrets management
·Audit logs

Platform

·Runtime isolation
·Supply-chain security
·Container security

Compliance

·SOC 2 / ISO 27001 / GDPR mapping
·SIEM integration

/10

SRE, Observability & FinOps

Running GPU platforms with measurable SLOs and visible unit economics.

Stack

·Prometheus
·Grafana
·Datadog
·ELK / OpenSearch
·NVIDIA DCGM

Signals

·GPU utilisation dashboards
·Cost per token
·Queue depth
·P50 / P95 / P99 latency
·Tokens / second

Operations

·Error budgets
·SLOs
·Incident response
·Runbooks
·Alerting

FinOps

·Capacity forecasting
·Chargeback
·Tenant metering

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