Cloud AI
Use managed models and cloud AI services when local GPU infrastructure is unnecessary.
AI COMPUTE & RUNTIME STRATEGY
Choose where and how enterprise AI should run.
Cloud, Compute Starter, Private AI Cluster or Hybrid — selected according to privacy, performance, scale, cost and control.
01Cloud AIUse managed models and cloud AI services when local GPU infrastructure is unnecessary.
02Compute StarterDeploy limited local compute for inference, POCs, private workloads or an initial enterprise AI environment.
03Private AI ClusterBuild dedicated GPU infrastructure when scale, privacy, performance or control requires it.
04Hybrid AICombine private and cloud execution with explicit workload placement, governance and a common operating model.
START HERE
What do you need to accomplish?
Start with the outcome. Newneo connects only the layers required to move from the current state to a production system.
Compute Starter
Deploy limited local compute for inference, POCs, private workloads or an initial enterprise AI environment.
Private AI Cluster
Build dedicated GPU infrastructure when scale, privacy, performance or control requires it.
Hybrid AI
Combine private and cloud execution with explicit workload placement, governance and a common operating model.
PRODUCTION FIRST
Designed as part of one enterprise AI system.
Infrastructure, compute, agents and operations are separate layers, but they are engineered to work together when the business case requires it.
Business before technologyStart from the process and measurable outcome.
Model-agnosticChoose models and platforms according to the workload.
Operational by designSecurity, observability and lifecycle controls are part of the architecture.
LET'S START WITH THE PROBLEM
Talk to an AI Architect →What should this layer enable for your business?
Bring us the workload, process or production challenge. We will help define the smallest useful next step.