IntroductionRAG (retrieval augmented generation) has emerged as a powerful technique to customize LLMs for users and use cases beyond the model’s training set. However, there are multiple potential bottlenecks within a RAG pipeline, including, but not limited to, the...
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...
IntroductionIn 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)...
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. With the advent of...
OverviewIn this article, we will accomplish the following:Building and installing a working branch of QEMULaunching a pre-made QEMU instance with a CXL Memory ExpanderCreating a memory region for the CXL Memory ExpanderConverting that memory region between DEVDAX and...
OverviewIn this article, we will accomplish the following:Building and installing a working branch of QEMULaunching a pre-made QEMU lab with 2 hosts utilizing a shared memory deviceAccessing the shared memory region through a devdax device, and sharing information...
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