Turning vision into reality: HPE is a Leader in Private AI Infrastructure Systems, according to the IDC MarketScape
The features and capabilities of HPE Private Cloud AI, which was named a Leader in Private AI Infrastructure Systems by IDC
- AI presents the biggest opportunity and toughest challenge for enterprises, who require a private, secure and flexible foundation
- The solution is HPE Private Cloud AI, a turnkey system co-developed with NVIDIA that arrives fully integrated and configured and is deployable in fewer than 8 hours
- HPE was recently named a Leader in the IDC MarketScape: Worldwide Private AI Infrastructure Systems 2025 Vendor Assessment
AI is the biggest opportunity and the toughest challenge facing enterprises today. Moving fast is essential. But scale, security, and governance can slow even the best teams down. The questions are the same: how do you move quickly without breaking things, empower data scientists while protecting data, and manage daily risk as models evolve?
Enterprise AI requires a private, secure, and flexible foundation. That has been HPE’s strategy from the start, and HPE was recently named a Leader in the IDC MarketScape: Worldwide Private AI Infrastructure Systems 2025 Vendor Assessment (doc #US53002625, August 2025).
The IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of technology and suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each supplier’s position within a given market. The Capabilities score measures supplier product, go-to-market and business execution in the short-term. The Strategy score measures alignment of supplier strategies with customer requirements in a 3-5-year timeframe. Supplier market share is represented by the size of the icons.
The Roadblocks to Operationalizing AI
Most teams start in public cloud for speed, then face unpredictable costs at scale. Building on premises from scratch demands capital and scarce integration talent. Both paths slow time to value. And even when infrastructure is in place, teams still struggle with fragmented data pipelines, rising energy demands, and the complexity of keeping models secure and compliant. That’s why so many AI projects get stuck in pilot instead of delivering business results.
The Solution: HPE Private Cloud AI
HPE removes this friction with HPE Private Cloud AI, a turnkey system co-developed with NVIDIA that arrives fully integrated and configured and is deployable in fewer than 8 hours. To deliver a complete toolkit, we pair HPE AI Essentials with NVIDIA AI Enterprise and include HPE OpsRamp for AI infrastructure. Together, they give data scientists and IT the complete toolkit to move from pilot to production faster, with greater reliability and control. HPE OpsRamp ensures that AI systems not only run, but continuously perform with transparency and precision at scale.
- Make data ready for AI. AI is a data hungry application, but each enterprise’s data is sprawled across multiple locations, types, and formats. We solve this problem with HPE Data Fabric Software, a built-in data lakehouse that provides a unified global namespace and delivers seamless access to any data regardless of its location. You benefit from a single copy of data that spans all sources while allowing data science practitioners to continue using their preferred analytics tools.
- Simplicity and flexibility that scale. HPE provides a single point of support across the stack, from HPE ProLiant and HPE Alletra to GreenLake and AI software to NVIDIA accelerated computing. That simplicity, plus the ability to scale compute and storage independently, makes complex AI pipelines easier to manage.
- Draws upon unmatched HPC expertise. Decades in high performance computing and liquid cooling give HPE a real advantage as models grow more energy intensive. Managing power and thermals is a core competency for sustainable, efficient AI operations, and it is built into the platform. This gives enterprises confidence to run larger, more complex models without being constrained by energy or cooling limits.
What the IDC MarketScape recognition for HPE Means for Customers
In a market crowded with AI hype and pilots that stall, we believe the IDC MarketScape’s recognition cuts through the noise. According to the report, “HPE Private Cloud AI is tightly integrated and fully turnkey. It requires little onsite integration to get the system up and running. Integrated, full-stack automation, observability, and security functions are enabled via the GreenLake hybrid cloud operations platform.”
HPE Private Cloud AI, delivered through the GreenLake platform, provides a consistent experience from edge to data center to operationalize AI at scale. The report noted, “HPE’s long history of working with high-performance computing and liquid cooling systems is also valuable for customers that face power or thermal constraints and are looking for partners that can help them optimize datacenter facilities for AI.”
Explore the excerpt to see why HPE was recognized and how we believe those strengths translate into results.
