GPU Compute covers every way to access AI compute power: GPU as a Service (GPUaaS) for on-demand rental, or GPU server ownership for dedicated, owned infrastructure — sourced across certified partners either way.
The real constraint right now isn't budget — it's access. GPU allocation across the region is tight, and that scarcity affects rented and owned capacity equally. Sourcing across multiple partners — rather than one distributor's stock or one cloud's queue — is what actually gets you compute faster, regardless of which path you choose.
Dedicated GPU Instances · Multi-GPU Clusters · AI Training · AI Inference · On-Demand Compute · API Access · Enterprise Security · UAE & Global Deployment · Flexible Subscription Plans
NVIDIA GPU servers on certified Giga Computing platforms, procured, configured, and delivered with full lifecycle support.
Capacity is sourced across our partner network, spanning three commitment tiers — matched to whether your workload is a short training run or a sustained, multi-year deployment.
Available now across on-demand and reserved tiers — for both training and inference workloads.
Available through reserved and multi-MW committed capacity — sized for the largest training and inference workloads.
Other NVIDIA accelerator classes available on request, matched to your specific training or inference requirements.
Exact available and committed capacity figures are confirmed at time of inquiry and vary by partner facility and region.