AI COMPUTE INQUIRY

Match GPU, bare metal, and private deployment needs to the right resource path.

DAXI Cloud captures compute requirements, maps workload constraints, and turns AI infrastructure demand into quote-ready leads.

GPU ClusterTraining / inference / rendering
Bare MetalDedicated performance
Private DeployCompliance and data boundary
Cloud GPUFlexible project capacity

RESOURCE TYPES

Support high-value infrastructure inquiries before full automation.

01

GPU Cloud Server

Flexible capacity for testing, inference, rendering, and short-term projects.

02

Bare Metal Server

Dedicated hardware for stable performance and stronger workload isolation.

03

Dedicated GPU Cluster

Cluster-level resource planning for research, enterprise AI, or production workloads.

04

Private Deployment

Custom deployment paths for data sensitivity, compliance, and enterprise governance.

QUOTE-READY INTAKE

Collect enough detail for technical review and commercial follow-up.

The first phase does not need fully automated resource provisioning. It needs a structured demand entrance that turns vague compute needs into actionable quote records.

OPERATING MODEL

Start service-led, then scale into automation.

1Capture workload and resource needs.
2Map GPU, model, region, budget, and compliance constraints.
3Create quote and provisioning follow-up.
4Convert repeated demand into standard packages.