AI Infrastructure
Private GPU clusters for enterprise and research programmes.
Multi-node GPU clusters with scheduling, quotas and shared storage for teams running parallel AI workloads.
GPU workloads
MockInference · production74%
Fine-tuning job91%
Notebook · research36%
Endpoints online5 / 5
VRAM allocated148 GB
Capabilities
What Private GPU Cluster includes
Cluster scheduling
Job scheduling and queueing across shared GPU capacity.
Quotas and chargeback
Per-team quotas with utilization and cost attribution.
Shared data layer
High-throughput shared storage for datasets and checkpoints.
Operated end to end
Monitoring, maintenance and capacity planning managed by jCloud.
FAQ
Common questions
What do you want to build?
Tell us about your website, application, cloud or AI workload. Our team will recommend the right infrastructure and managed-service model.