The maximum memory capacity of the HPE ProLiant BL460C Gen10 server is 2TB when utilizing Load Reduced DIMM (LRDIMM) memory.
Understanding Memory Capacities
The HPE ProLiant BL460C Gen10 server offers impressive memory scalability, supporting different types of memory modules with varying maximum capacities. This allows organizations to configure the server according to their specific workload demands, from general-purpose computing to memory-intensive applications.
Key Memory Specifications:
- Registered DIMM (RDIMM): The server supports up to 1TB of Registered DIMM (RDIMM) memory. This capacity is achieved by populating all 16 memory slots with 64GB RDIMM modules (16 x 64GB).
- Load Reduced DIMM (LRDIMM): For applications requiring an even larger memory footprint, the server supports up to 2TB of Load Reduced DIMM (LRDIMM) memory. LRDIMMs are designed to reduce the electrical load on the memory controller, enabling higher capacities and speeds in dense configurations.
The ability to support both RDIMM and LRDIMM types provides flexibility, allowing users to choose the memory type that best suits their performance and capacity requirements, as well as their budget.
Memory Configuration Overview
To illustrate the maximum capacities, consider the following breakdown:
Memory Type | Maximum Capacity | Configuration (DIMM Slots) |
---|---|---|
Registered DIMM (RDIMM) | 1TB | 16 x 64GB |
Load Reduced DIMM (LRDIMM) | 2TB | 16 x 128GB (Hypothetical Max) |
It's important to note that the BL460C Gen10 typically features 16 DIMM slots per server, which are populated to reach these maximum capacities.
Why Memory Capacity Matters
High memory capacity is crucial for various computing environments, including:
- Virtualization: Running multiple virtual machines (VMs) on a single server requires substantial memory to ensure each VM operates efficiently without performance bottlenecks.
- Database Management: Large in-memory databases and analytics platforms thrive on extensive RAM, enabling faster data processing and query responses.
- High-Performance Computing (HPC): Scientific simulations, data modeling, and complex computational tasks often demand massive amounts of memory for efficient execution.
- Big Data Analytics: Processing and analyzing large datasets benefits significantly from high memory capacity, reducing the need for disk I/O and speeding up operations.
By understanding the maximum memory capacity and the types of memory supported, users can optimize their ProLiant BL460C Gen10 servers for demanding workloads, ensuring peak performance and scalability.