Part Number
Capacity
Note
STXPL512GMC4RD5
512GB
With 4 128GB DDR5 RDIMMs
STXPL256GMC4RD5
256GB
With 4 64GB DDR5 RDIMMs
STXPL128GMC4RD5
128GB
With 4 32GB DDR5 RDIMMs
CXA-4F1W
SMART’s CXA-4F1W is a 4-DIMM AIC, a Type 3 PCIe Gen5 Add-In Card (AIC) utilizing the CXL™ standard consisting of four DDR5 RDIMMs mounted on a Full Height, Half Length PCIe form factor module. It uses one x16 CXL controller to implement a single x16 CXL port capable of a total bandwidth of 64GB/s.
Each RDIMM socket supports up to 128GB RDIMMs for a maximum memory capacity of 512GB. The CXL Controllers implement “Reliability, Availability, and Serviceability” (RAS) features, advanced analytics, as well as enhanced security features with in-band or side band (SMBus) monitoring capability.
SMART develops CXL Type 3 (CXL.mem) memory products to address the industry’s need for more memory per processor core. The CXL interconnect specification allows for a significant expansion of memory form factor options in PCIe or EDSFF form factors.
RAS Features:
- End-to-end data path integrity with overlapping parity/ECC
- SECDED ECC support to DDR
- Reed–Solomon ECC support to DDR
- Programmable patrol scrub
- Secure boot
- Secure firmware update
- Device personalization/certificates
- Attestation
- Key management
- Firmware Authentication, Integrity Check
- Firmware encryption
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Product Details
Technologies
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Solutions
Along with increasing amount of IT devices and systems installed in modern enterprises, more and more data is generated and transported everyday between physical equipment and virtual spaces, like the cloud. In order to efficiently and effectively store and manage these quantities of data, it’s becoming necessary to build a data infrastructure that can accommodate in-house data centers or that can be outsourced to cloud service providers. Whether the data infrastructure is internal or external, the main purpose is to gather process and store the data under stable and secure conditions to ensure uninterrupted operation for the enterprises.
Whether it’s a mid-size health insurance company or a large-scale e-commerce service provider, storage servers play an important role in terms of data management for any business operation. Along with the increasing amounts of data generated and transported through network connections, it’s crucial to efficiently process and store the data, while enabling data access, yet maintaining security. Whatever the use or data applications, storage servers can are used where a large amount of data is transmitted, gathered and processed for analysis and business operations.
Accelerated AI and ML workloads often require high bandwidth memory to keep up with the massive amounts of data being processed. There's a need for memory architectures that can deliver higher bandwidth to match the computational capabilities of modern accelerators. This could involve innovations in DRAM design, such as wider memory buses, faster memory interfaces, or the integration of high-bandwidth memory (HBM) technologies.
High Performance Computing (HPC) represents a leading solution being used to model and understand complex issues such as weather, agriculture, and space. HPC applications require the ability to process data and perform complex calculations at high speeds in limited timeframes. For applications such as AI machine/deep learning, data analysis, or medical research, HPC can process massive amount of data in real time. As HPC increases, so will the demands for high performing and reliable memory to deliver on expectations.
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