As AI continues to reshape industries, businesses are racing to modernise their infrastructure to stay competitive, but what does it mean to be AI-ready? And how can organisations align their server investments with the specific demands of AI workloads?
Infrastructure as the foundation for AI success
From automating operations to enhancing customer experiences, AI is driving demand for high-performance, GPU-accelerated servers that can handle massive data volumes and complex models. This surge is fuelling investments in hybrid cloud environments and sovereign compute solutions that ensure data control and regulatory compliance.
Common challenges
Despite the promise of AI, many organisations face roadblocks:
- Security vulnerabilities: Over 50% of organisations worldwide have experienced losses of at least $300,000 due to cyberattacks.1
- Legacy limitations: Outdated infrastructure struggles to support new AI and edge workloads, leading to inefficiencies and rising energy costs.
- Poor data foundations: 78% of businesses are unable to capitalise on AI due to fragmented or low-quality data.2
The good news? AI-enhanced server management is expected to reduce operational costs by up to 30%.3
The tech behind AI readiness
HPE ProLiant Gen11 and Gen12 servers powered by Intel® Xeon® 5th and 6th Gen Scalable processors are helping businesses across the world become AI-ready. Modern AI workloads, from machine learning to generative AI, demand compute platforms that can keep up. Intel’s latest Xeon processors deliver:
- AI acceleration in every core with Intel® AMX
- Faster memory and larger last-level cache
- Enhanced performance for deep learning inference and training
These features make Xeon 5/6 ideal for businesses deploying advanced AI models for language, image and code generation.
Choosing the right HPE ProLiant Gen11 / Gen12 Server
HPE’s Gen11 and Gen12 ProLiant servers powered by Intel® Xeon® Scalable processors are designed to meet the evolving needs of AI-driven enterprises. Here’s how they support key verticals:
Finance
- Transaction processing: High-performance compute for real-time trading and risk analysis.
- Compliance and security: Built-in features to meet stringent financial regulations.
- Data analytics: Real-time fraud detection and customer insights.
Education
- Digital learning: Support virtual classrooms and content delivery platforms.
- Research computing: Enable high-performance academic research.
- Administration: Simplify data management and operations.
Retail
- Customer experience Personalise marketing and streamline omnichannel strategies.
- Inventory management: Use real-time analytics to optimise stock levels.
- POS systems: Ensure uptime and speed at checkout.
Real-world AI in action: Vision AI across industries
To show how AI-ready setups work in the real world, Vision AI powered by AICuda and Nvidia is a great example. Using real-time video analysis, businesses in different sectors are transforming how they operate:
- Retail: Track foot traffic, improve store layouts and make customer experiences better with real-time insights.
- Healthcare: Make diagnostics and imaging more accurate and speed up treatment times.
- Manufacturing: Enable predictive maintenance, quality control and automation on the factory floor.
These examples highlight the importance of picking the right infrastructure for high-demand AI tasks. HPE ProLiant Gen11 and Gen12 servers with Intel Xeon 5/6 processors deliver the needed performance and scalability, making Vision AI not just possible, but practical.
Becoming AI-ready isn’t just about adopting new technologies, it’s about choosing the right infrastructure to support your vision. With HPE ProLiant Gen11 and Gen12 servers, powered by Intel Xeon 5/6 processors, businesses can unlock the full potential of AI while ensuring performance, scalability, energy efficiency and secure remote management with iLO7. Whether you’re in finance, retail, education, or beyond, the path to AI readiness starts with the right foundation.
To learn more about HPE ProLiant Gen11 and Gen12 servers, visit our website today.
1 “Financial impact of cyberattacks for organizations worldwide as of February 2024” July 2024
2 “Four out of five businesses are unable to capitalise on AI due to poor data foundations” October 2024
3 “7 server trends you should keep an eye on in 2025” September 2025
