GPU-as-a-Service: Access high-performance GPU on demand

GPU Virtualisation-as-a-Service

<p>Optimise access to and allocation of GPU resources across workloads</p>

Kubernetes-as-a-Service

<p>Orchestrate containerised applications effortlessly</p>

GPU Scheduling-as-a-Service

<p>Optimise GPU resource allocation and utilisation</p>

AI tools-as-a-Service

<p>Jupyter Notebook for exploratory analysis and development</p>

Workload Optimisation

<p>Improve GPU utilisation and performance by dynamically allocating resources to workload needs</p>

HPC workload management

<p>Slurm workload manager for high-performance computing workloads</p>

Observability

<p>Monitor and analyse GPU, CPU, memory, disk and network utilisation for greater visibility into workload performance</p>

NVIDIA accelerated compute​

<p>Purpose-built GPU infrastructure for demanding AI workloads.​</p>

AI-ready infrastructure​

<p>Backed by Nxera data centres and network infrastructure built for AI.​</p>

Sovereignty​

<p>Deploy sensitive workloads with greater control where required.​</p>

Paragon orchestration

<p>Orchestrate infrastructure and services as AI environments scale.​</p>