CXL Industry News

Announcing Memory Machine Cloud 3.0 Imperia

I am very excited to announce that Memory Machine Cloud (MMCloud) Imperia (3.0) is now generally available. Our vision for MMCloud is that it delivers unparalleled resource efficiency for compute intensive workloads and extreme ease-of-use for both Cloud admins and...

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Introducing Weighted Interleaving in Linux for Enhanced Memory Bandwidth Management

Introducing Weighted Interleaving in Linux for Enhanced Memory Bandwidth Management

With the release of Linux Kernel 6.9, system administrators have gained a powerful new tool for managing memory distribution across NUMA nodes: Weighted Interleaving. This feature is especially beneficial in systems utilizing various types of memory, including traditional DRAM and Compute Express Link (CXL) attached memory. In this article, we’ll explore Weighted Interleaving, how it works, and how to use it.

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Unleashing the Future of Memory Management: Exploring CXL Dynamic Capacity Devices with Docker and QEMU

In the ever-advancing realm of technology, developers and application owners always look for innovative tools and methodologies to boost performance and scalability. A revolutionary stride in this direction is the integration of Compute Express Link (CXL) technology, particularly through the utilization of Dynamic Capacity Devices (DCD). CXL, an open standard for high-speed CPU-to-device and CPU-to-memory interconnects, substantially enhances data center and cloud environments, offering many benefits.

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Memory Wall, Big Memory, and the Era of AI

In the fast-evolving landscape of artificial intelligence (AI), where models are growing larger and more complex by the day, the demand for efficient processing of vast amounts of data has ushered in a new era of computing infrastructure.

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Emulating CXL Memory Expanders in QEMU

Build and install a working branch of QEMU. Launch a pre-made QEMU instance with a CXL Memory Expander. Create a memory region for the CXL Memory Expander. Convert that memory region between DEVDAX and NUMA Modes.

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