Description
HPE ProLiant DL385 Gen10 Plus 24SFF Server
The HPE ProLiant DL385 Gen10 Plus 24SFF (High-Performance Rack-Mounted Server) is a server. We discuss its security, performance, and flexibility here. The server uses AMD EPYC processors and can hold up to 24 NVMe drives. It also supports multiple GPUs. AMD designed this server for virtualized and storage-intensive workloads [1].
High-Performance Server for Demanding Workloads
The HPE ProLiant DL385 Gen10 Plus 24SFF is a powerful and versatile rack-mounted server designed for virtualized environments, storage-intensive applications, and high-performance computing (HPC).
Key Features of High-Performance Rack-Mounted Server:
- Processor: AMD EPYC 7000 series processor with 25 cores (potentially configurable with different core counts)
- Memory: Supports a large memory capacity, allowing for demanding workloads (specific memory details might be available on the webpage)
- Storage: Up to 24x 2.5″ Small Form-Factor (SFF) hot-swappable drive bays, ideal for high-density storage needs. Additionally, it might support NVMe drives for exceptional storage performance (confirmation needed).
- GPU Support: Multiple GPUs can be installed for workloads requiring accelerated graphics processing (details on supported models and configurations might be available).
- Security: Built-in security features like silicon root of trust and AMD Secure Processor safeguard your server from unauthorized access and firmware threats.
Benefits:
- Scalability: The DL385 Gen10 Plus 24SFF can be easily scaled to meet growing processing and storage demands.
- Performance: Delivers exceptional performance for virtualized environments, databases, and other demanding workloads.
- Flexibility: Supports various storage options and multiple GPUs, making it adaptable to diverse needs.
- Security: Hardware-based security features ensure the integrity of your data and system.
Target Audience:
- Businesses with virtualized environments
- Organizations requiring high-performance storage
- Companies running compute-intensive applications like AI and machine learning
- Users needing GPU acceleration for graphics processing
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