EXECUTIVE SUMMARY
This Intersect360 Research report presents an overview of the technologies and trends shaping the HPC-AI market in 2025, with a focus on Systems and Clusters. Other technology segments are covered in further reports in the “State of the HPC-AI Market” series.
This report is based on surveys of members of the HPC-AI Leadership Organization (HALO). HALO is a global, end-user organization, facilitated by Intersect360 Research, that helps steer the course of the HPC-AI industry by identifying key issues, providing input into planned Intersect360 Research studies, and participating in surveys. For more information on HALO, visit www.hpcaileadership.org.
The Intersect360 Research “State of the HPC-AI Market” report series includes the following technology modules:
- Storage and Data Management
- Systems and Clusters (this one)
- Facilities, Power, and Cooling
- Interconnects and Networking
- Quantum Computing
- Processing Elements (CPUs, GPUs, Accelerators)
- Cloud Computing (Including On-Prem as-a-service Models)
Each report in the “State of the HPC-AI Market” series contains three sections: 1) end-user survey data on installations, major trends, and “satisfaction gap” analysis to reveal features where buyers are currently not satisfied with available technologies relative to their importance; 2) Intersect360 Research analysis of these data and trends; 3) submitted content from invited top vendors, as determined by end-user surveys, responding to a fixed template of questions on target market, technology differentiation, and future vision.
EXECUTIVE SUMMARY:
This most recent Intersect360 Research survey offers a clear view of how organizations deploy computing resources for high-performance computing (HPC) and artificial intelligence (AI) workloads. Most respondents run these workloads on shared infrastructure rather than maintaining distinct systems, with only a small minority opting for separation. System capacity varies widely, from modest installations to massive multi-thousand-node deployments, reflecting the diversity of scale in the field. Cloud computing remains a limited factor; most sites depend primarily on on-premises infrastructure, with cloud usage either minimal or absent for active HPC-AI workloads.
Purchasing decisions are still driven by familiar priorities. Memory and system bandwidth and GPU performance consistently top buyers’ lists, followed by CPU performance, vendor flexibility, and service quality. Cloud integration and other secondary accelerators rank much lower, reinforcing buyers’ emphasis on stability and throughput over novelty. Organizations with a focus on AI place even greater stress on bandwidth and storage latency, underscoring the technical strain AI workloads introduce.
Plans for future configurations show a decisive move toward higher GPU density, with many sites choosing four or eight GPUs per node. Buyers increasingly expect vendors to deliver configurable systems, tangible energy efficiency improvements, and stronger service level commitments. Support quality and operational transparency are becoming key differentiators.
The satisfaction gap analysis highlights where expectations most exceed reality. Memory bandwidth and GPU performance record the largest gaps, followed by service quality and energy efficiency. These areas represent the clearest opportunities for vendors to improve alignment with buyer needs. By contrast, features like cloud integration generally meet or exceed expectations, suggesting interest there is already well-served.
Overall, AI is reshaping priorities, but traditional HPC concerns — bandwidth, scheduling, reliability, and operational control—still dominate procurement. Buyers value measurable improvements in real workload conditions over theoretical peak performance. For both users and vendors, progress will come from pragmatic gains in bandwidth, accelerator density, and service quality, not from marketing flash or heavy cloud dependence. In this evolving HPC-AI landscape, balancing performance, efficiency, and support remains the foundation for lasting value.