Your AI Strategy Is Only as Strong as the Infrastructure Behind It
Most enterprises have an AI vision. Few have the infrastructure to execute it. This playbook shows you what it actually takes to build at scale.
AI initiatives stall for one predictable reason:
the infrastructure wasn't built for it.
Only 15% of enterprises say their IT stack is fully prepared for AI demands — adding capacity alone is no longer enough.
Verinext + Arctiq and HPE ProLiant Compute help IT leaders remove that ceiling.
the infrastructure wasn't built for it.
Only 15% of enterprises say their IT stack is fully prepared for AI demands — adding capacity alone is no longer enough.
Verinext + Arctiq and HPE ProLiant Compute help IT leaders remove that ceiling.
Purpose-built for today’s hybrid and AI-intensive workloads, HPE ProLiant Compute delivers AI-optimized performance, zero-trust security, automation, and energy efficiency, so enterprises can move from experimentation to production with confidence.
What's inside the playbook:
1
Why AI workloads demand purpose-built compute — and what happens when they don't get it
Only 15% of enterprises say their IT stack is fully prepared for AI demands — adding capacity alone is no longer enough1
2
The role of data infrastructure in AI performance (it's not just about processing power)
Fragmented data environments slow AI performance and limit model accuracy — integrated pipelines reduce friction between storage, processing, and training
3
The cost of holding onto aging infrastructure
Unscheduled IT outages cost large organizations an average of $14,000+ per minute2
4
Why hybrid cloud flexibility is non-negotiable for AI at scale
HPE Compute Ops Management reduces time spent managing remote servers by up to 75%3
5
What to look for in a technology partner — and what to avoid
HPE ProLiant Compute Gen12 delivers up to 35% higher performance and 25% better energy efficiency vs. previous generations⁴
Built for leaders who are moving from AI planning to AI execution.