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GPU cluster integration

Connect model workloads to distributed GPU scheduling, storage and network resources.

Commission this programme
Specialist engineering programme
Organisation boundaryRecordsOnsite modelReviewMission and domain requirements

Connect model workloads to distributed GPU scheduling, storage and network resources.

Capability dossier

A defined contribution.

Commissioned artefact

Cluster integration and workload validation.

Acceptance focus

Assess the complete workload path and contention rather than infer performance from GPU count.

The operating task

Connect model workloads to distributed GPU scheduling, storage and network resources. Task quality, execution boundaries and the operating workload are considered together in deployment decisions.

Softinator's contribution

Connect distributed workloads to GPU scheduling, storage and network resources. The commissioned output includes cluster integration and workload validation.

Acceptance in use

Assess the complete workload path and contention rather than infer performance from GPU count. The engagement defines the baseline, task scope and evidence used to assess the resulting contribution.

Follow the connection.

Explore the method, its context
and the engineering underneath.

Services

Private AI and inference systems

Task quality, execution boundaries and the operating workload are considered together in deployment decisions.

Our work

Regulated private model adaptation

Private adaptation programmes for regulated records, with domain evaluation and release decisions grounded in the client’s boundary.

Our work

Sovereign mission model deployment

Compact onsite-model programmes that connect domain behaviour, isolated deployment and accountable operator control.

Trust centre

Enterprise procurement

Commercial scope, technical requirements and the evidence needed to commission the work.

Technologies

NVIDIA CUDA engineering

GPU application and compute development. Workload kernels and device-specific execution constraints.

Technologies

NVIDIA DGX engineering

Integrated GPU infrastructure for AI programmes. Training and serving workloads with complete operating dependencies.

Technologies

NVIDIA BlueField engineering

Data-centre processing and infrastructure interfaces. Workload networking, isolation and operating requirements.

Bring the next
requirement.

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