Quiz - Invite Networks

What best describes your current AI initiative goals?

Exploring AI use cases and assessing feasibility

Testing pilots or Proofs-of-Concept (PoCs)

Scaling targeted AI applications

Implementing organization-wide AI strategies

Optimizing production AI systems critical to operations

How would you describe your current GPU and compute strategy for AI workloads? (Current or planned workloads?)

No defined strategy yet / Still developing our strategy

Shared cloud instances with performance bottlenecks or cost challenges

Hybrid cloud and on-premise setup with limited GPU resources

Dedicated GPU clusters with performance or scalability issues

High-Performance Compute with some integration gaps

Fully optimized AI infrastructure

What's your biggest infrastructure pain point with AI workloads? (Current or planned workloads?)

Network performance issues

Storage performance for AI data processing

Data access/silos

Inconsistent AI performance across on-prem, hybrid, or cloud setups

Lack of visibility into AI workload performance

No significant infrastructure challenges

How would you describe your approach to securing AI workloads?

Relying on traditional security, no AI-specific measures

Basic AI data protection but concerned about broader risks

Using some AI security tools but lacking full integration

Advanced security with AI workload monitoring

Optimized AI security with integrated protection

What's your team's AI infrastructure expertise level?

Limited expertise—reliant on external support

Developing expertise but have resource constraints

Moderate expertise but need specialized AI support

Strong expertise but prioritizing strategic initiatives

Expert team fully managing AI infrastructure lifecycle

What's your organization's approach to AI infrastructure investment?

Evaluating AI infrastructure for business value/ROI

Budget allocated but need to prove business impact

Ready to invest but need a flexible cost model

Committed budget with a defined AI transformation timeline

AI infrastructure is a strategic priority with executive sponsorship

What's your timeline for AI infrastructure deployment?

6+ months - we can invest time in building the right foundation

3-6 months - balanced approach between speed and customization

30-90 days - need to get AI workloads running quickly

Immediately - urgent business need with tight deadlines

How important is infrastructure customization to your AI strategy?

Critical - we need full control over configurations and optimizations

Important - we need some customization within a managed framework

Moderate - standard configurations are fine if they're optimized

Low priority - we want infrastructure to be invisible to our team

AI Infrastructure Readiness Assessment