HPE DL360 Gen10 GPU Enablement Kit v2
Product details
| Management number | 241239963 | Release Date | 2026/07/17 | List Price | $65.80 | Model Number | 241239963 | ||
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Overview
The HPE P23271-B21 is a GPU enablement kit designed to upgrade HPE ProLiant DL360 Gen10 servers by allowing the addition of full-height GPUs. This upgrade significantly enhances the server’s ability to handle intensive computational tasks such as data analysis, machine learning, and graphics processing. It integrates smoothly with HPE Nimble Storage dHCI Medium and Small Solutions, making it a practical choice for businesses seeking to boost server performance without replacing the entire system.
Installation is straightforward, enabling quick deployment in environments where increased processing power is essential. This kit is well suited for enterprise IT, research labs, and cloud service providers that require flexible and reliable server enhancements.
Key features
- Enables integration of full-height GPUs to expand server processing capabilities
- Supports demanding computational workloads including AI acceleration and virtualization
- Seamless compatibility with HPE ProLiant DL360 Gen10 servers for easy upgrades
- Designed for smooth integration with HPE Nimble Storage dHCI Medium and Small Solutions
- Simple installation process minimizes downtime and speeds up deployment
Key specs
- Compatible server model: HPE ProLiant DL360 Gen10
- GPU support: Full-height GPUs
- Integration: Works with HPE Nimble Storage dHCI Medium and Small Solutions
- Part number: P23271-B21
Installation and setup
The kit is engineered for straightforward installation, allowing IT teams to quickly add GPU capabilities to existing DL360 Gen10 servers. This reduces the need for extensive downtime or complex reconfiguration, helping maintain operational continuity while upgrading performance.
Ideal uses and environments
This enablement kit fits well in data centers and enterprise environments where enhanced GPU performance is necessary. It supports workloads such as complex simulations, AI model training, and large-scale virtualization, making it a strong choice for organizations focused on computational efficiency and scalability.
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