Clusters
High-performance GPU clusters for AI workloads
Experience rapid deployment of cutting-edge GPU clusters designed for intensive training and inference tasks. Choose your region, scale as needed, and maintain full control over your infrastructure.

AI cloud clusters purpose-built for training and inference

Configuration
It starts with the right setup. We work with you to architect the ideal configuration for your AI needs across hardware, networking and infrastructure management. Whether you are running training or inference, we help you select the right stack from the start so you get maximum performance without wasted time or resources.
Testing
Before you scale, we run your setup through targeted tests including NCCL, HPL-AI and ML-Perf Training and Inference. This validates performance, stability and efficiency on real hardware. No guesswork. Just data that proves your cluster is ready to deliver.


Deployment
Deploy on-demand clusters in seconds for immediate workloads, or launch custom-designed clusters built around your exact requirements. Whether you need instant access or tailored infrastructure, we get you live fast in the right region.
Support & management
Always-on support. Always-optimised clusters. Our team keeps your infrastructure running at peak performance, so you stay focused on results, not maintenance.

The AI performance edge
Deploy NVIDIA H100, H200 and B200 SuperPODs, purpose-built for large-scale AI training and inference. Our infrastructure is optimised for performance, scalability and efficiency.
Launch your AI cluster
Get the right infrastructure scoped, configured and deployed quickly so you can train and scale without delays.
- Optimised for LLMs, model training and inference workloads
- Enterprise-grade support from setup through scale
- NVIDIA-backed GPUs delivered with speed and precision
"CUDO Compute is a true pioneer in aggregating the world's cloud in a sustainable way, enabling service providers like us to integrate with ease"
VPS AI
Scale your AI workloads without limits
Reserve GPUs, deploy globally and go live with SLA-backed infrastructure and enterprise-grade support.