Home GPU Compute Hardware Data Centres Industries Contact
GPU Compute as a Service

Enterprise GPU infrastructure, available on demand.

For AI training, inference, research, simulation, and high-performance computing — delivered as a dedicated server, a private cluster, or reserved long-term capacity.

Overview

Compute structured around your workload, not a fixed SKU.

NEB Compute provides scalable GPU compute services for enterprises, AI companies, software developers, research organisations, and other compute-intensive users. Whether you require a dedicated server, a private multi-node cluster, or long-term reserved capacity, we structure a solution around your workload, deployment timeline, and commercial requirements.

Available GPU Platforms

Current-generation NVIDIA compute, rack to rack-scale.

Additional GPU configurations and platforms may be available based on project size, deployment schedule, and customer requirements.

NVL72 · SKU-GB300
GB300 NVL72
Blackwell Ultra · Rack-scale
FP4 dense1.1 EFLOPS / rack
Memory20TB HBM3e unified
NVLink domain72 GPU · 130TB/s
Frontier modelsFoundation trainingAI factories
A next-generation rack-scale AI platform for frontier models, foundation training, and large-scale multi-node inference.
NVL · SKU-B300
B300
Blackwell Ultra · Liquid-cooled
FP4 dense15 PFLOPS
Memory288GB HBM3e
TDP1,400W
LLMsGenerative AIHigh-throughput inference
A next-generation Blackwell platform for large-scale AI training, inference, and high-performance enterprise workloads.
NVL · SKU-B200
B200
Blackwell · Air-cooled ready
FP4 dense9 PFLOPS
Memory192GB HBM3e
TDP1,000W
Model trainingFine-tuningComputer vision
A high-performance Blackwell platform for advanced AI training, inference, and accelerated computing.
HGX · SKU-H200
H200
Hopper · High-memory
FP8 dense~1,979 TFLOPS
Memory141GB HBM3e
TDP700W
LLM inferenceResearchScientific computing
A high-memory Hopper platform suitable for enterprise AI development, inference, research, and scientific computing.
Availability note: platform allocation is available subject to capacity and confirmed on a per-project basis. Contact us to confirm current availability for your timeline.
Service Models

Five ways to access capacity.

Dedicated GPU Servers

Exclusive access to dedicated enterprise GPU infrastructure.

Private GPU Clusters

Custom-designed multi-node environments for larger AI workloads.

Reserved GPU Capacity

Long-term capacity reservation for customers requiring predictable access and stable deployment planning.

Managed GPU Infrastructure

Fully managed environments covering deployment, infrastructure monitoring, maintenance, and operational support.

Custom Enterprise Solutions

Tailored commercial and technical models for large-scale or specialised deployments.

Typical Workloads

Where the capacity gets used.

LLM trainingGenerative AIAI agentsFine-tuning AI inferenceComputer visionScientific computingSimulation Data analyticsEnterprise AI applicationsResearch computingHPC
Why Choose NEB Compute

What comes with the capacity.

  • Enterprise-grade infrastructure
  • Access to current-generation GPU platforms
  • Australian deployment options
  • Flexible capacity models
  • Scalable private clusters
  • Managed deployment and operations
Get Started

Secure the GPU capacity your business needs.

Speak with NEB Compute about dedicated servers, private GPU clusters, and reserved enterprise capacity.