AI ENABLEMENTStart with the use case.
Start with the use case.
Build the right foundation.
GPU infrastructure and enterprise AI platforms selected for a defined use case.
THE CONNECTIONS THAT MATTER
Data→Access rules→AI app
↑ Supported byDeployment foundationCompute · storage · deploymentPilot → evaluate → expandConceptual view · detailed design follows your requirements.
Prove the use case before expanding.
- Define the use case
- Control data access
- Evaluate the platform
Your environment
- A specific use case and its intended users
- Data sources, access rules and deployment constraints
- Evaluation criteria and expected usage
Your deliverables
- A brief covering the use case and infrastructure requirements
- A proposed platform and deployment approach
- Pilot acceptance criteria and an operating plan
Technology options.
All brands & platforms
Useful questions.
Do we need to buy GPUs first?
Start by defining the workload. The assessment should establish whether owned infrastructure, cloud resources or a combination is appropriate.
Can sensitive data stay in our environment?
Private and on-premises options can be evaluated. Data flows, model access, permissions and operational controls must be assessed for the selected platform.