DDR5-12800 MRDIMM Reliable, Trusted, Proven
SMART Modular Technologies’ DDR5-12800 Multiplexed Rank DIMMs (MRDIMMs) represent a leap in memory technology, engineered to eliminate performance bottlenecks demanding data-intensive applications. By doubling the effective data rate of standard DDR5, MRDIMM provides unprecedented bandwidth for powering servers and compute platforms.
Functionality & Use Overview
Applications
• Multiplexed Rank Architecture: MRDIMMs utilize a novel architecture
• Artificial Intelligence & Machine Learning: Ideal for
• Extreme Data Rate: Achieves a 12800 MT/s data rate, anticipating the
• High-Performance Computing (HPC): Powers the
allowing for simultaneous access to both ranks of memory, doubling data throughput on the memory channel. bandwidth needed to keep modern multi-core CPUs, GPUs, and AI accelerators saturated with data.
• ECC Support: Includes on-die and side-band Error Correction Code
(ECC) to detect and correct memory errors, providing stability and data integrity required for long-running computational workloads.
Features & Benefits
• Extreme Performance: Delivers up to a 2x increase in memory band-
width over standard DDR5 RDIMMs, reducing latency and accelerating application performance.
•
High Reliability with Zefr™ Testing: Undergoes SMART’s rigorous Zefr screening and testing process, identifying and eliminating modules for failure, ensuring exceptional reliability for mission-critical servers and infrastructure.
• Massive Capacity: Supports high-density configurations, enabling vast
memory pools within a single server to handle large datasets and complex models.
• Maximized ROI: Unlocks the potential of costly CPU and GPU investments by eliminating memory bottlenecks, ensuring processors operate at peak efficiency, improving total cost of ownership (TCO).
• Enhanced Power Efficiency: Features an onboard 1.1V Power
Management Integrated Circuit (PMIC) for precise power regulation and improved efficiency at extreme speeds.
training Large Language Models (LLMs) and other complex neural networks, dramatically reducing training times and enabling larger model sizes. most demanding scientific and engineering workloads, such as climate modeling, genomic sequencing, and financial analysis, by providing faster access to massive datasets.
• Data Center & Cloud Computing: Enables hyper-
scale data centers to support more virtual machines per server, manage larger in-memory databases, and accelerate big data analytics with better efficiency.
• Real-Time Data Analytics: Provides the extreme
bandwidth needed for real-time processing of large data streams in applications like fraud detection and high-frequency trading.