Enable Lower Cost Scaling of Memory Capacity
Easily and cost-effectively expand memory for compute resources within data centers, cloud services, and HPC providers as data-intensive workloads continue to grow in complexity and scale.
Memory Pooling & Expansion Considerations
Increasing memory capacity while reducing latency without adding more processing is a game-changer. Streamline real-time processing of large datasets and enable faster execution of complex algorithms and advanced analytics with memory scaling.
As modern applications such as artificial intelligence (AI) and machine learning (ML), image processing, in-memory databases and real time analytics consume more memory than ever before, a new solution is needed to keep up with the demand for low latency, high bandwidth memory.
For decades, computer systems have used direct attached RDIMM memory modules to the host motherboard and to the CPU using a parallel bus. Expanding the number of modules a system can utilize involved adding memory controllers and pins to the CPU which quickly becomes prohibitive.
Compute Express Link® (CXL®) is a high-bandwidth, low latency, CPU-to-Device interconnect standard which builds on existing PCI Express® (PCIe®) infrastructure, leveraging the PCIe physical and electrical interface while adding additional transfer protocols.
Memory expansion and pooling are enabled by CXL to expand capacity while driving significant cost savings and improving power efficiency.
Memory Pooling &
Memory Expansion Expertise
In industries where milliseconds matter, the demand for high-capacity, high-performance expandable memory solutions has never been greater.
Being a more economical choice for expanding memory under current system architectures, CXL is an industry standard, open protocol for high speed and low latency communications between host accelerator which are increasingly used in emerging applications such as AI and ML.
CXL has has emerged as the game-changing solution, enabling affordable memory expansion, flexible scaling, improved performance, as well as allowing the disaggregation of memory resources from their processors. The technology eliminates traditional memory constraints, enabling real-time processing of massive datasets with unprecedented efficiency.
CXL Memory Expansion
This approach allows for a more flexible and scalable memory architecture, where memory devices can be added or removed as needed, without the need to replace or upgrade the entire system.
CXL Memory Pooling
Switch to enable memory pooling for efficient memory allocation. Partition your device as Multiple Logical Devices (MLD), allowing up to 16 hosts to simultaneously access different portions of the memory.
Lower Total Cost of Ownership
Instead of purchasing 8 128GB DDR5 RDIMMs, clients can achieve equivalent memory capacity by employing 8 64GB DDR5 RDIMMs in conjunction with an 8-DIMMCXL Add-In Cards (AICs). This configuration results in a remarkable 25% reduction in costs.
25+
Years Experience
85,000+
GPUs Deployed & Managed
2+ Billion
Hours of GPU Runtime
Talk to the Experts at
Penguin Solutions
Reach out today and learn more how we can help you with your integrated memory pooling and expansion planning to maximize processing power while lowering system memory costs.