Engineering focus
Training and serving workloads with complete operating dependencies.
NVIDIA DGX
Integrated GPU infrastructure for AI programmes. Training and serving workloads with complete operating dependencies.
Discuss a NVIDIA DGX programmePlatform engineering programme
NVIDIA DGX: Integrated GPU infrastructure for AI programmes.
Engineering on this platform.
Commissioned scope
GPU cluster integration · Cloud model training platforms · AI infrastructure cost optimisation
Engineering focus
Commission NVIDIA DGX engineering for integrated GPU infrastructure for AI programmes. The contribution centres on training and serving workloads with complete operating dependencies.
Programmes to commission
- GPU cluster integration: Connect model workloads to distributed GPU scheduling, storage and network resources.
- Cloud model training platforms: Connect training workflows to scalable compute, data and release management.
- AI infrastructure cost optimisation: Assess compute and serving tradeoffs against workload and quality requirements.
Operating context
Compute and software choices assessed against useful model behaviour and the complete serving workload. The engagement identifies the selected components, interfaces and acceptance evidence. Relevant vendor terms and access arrangements follow the actual platform scope. A useful result connects platform behaviour to the enterprise task.
Platform context.
Bring the next
requirement.