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The introduction of CXL has significantly advanced the enablement of memory disaggregation. Along with disaggregation has risen the need for reliable and effective ways to transparently tier data in real time between local direct attached CPU memory and CXL pooled memory. While the CXL hardware level elements have advanced in definition, the OS level support, drivers and application APIs that facilitate mass adoption are still very much under development and still in discovery phase. Even though memory tiering presents new challenges, we can learn a great deal from the evolution of storage from direct attached to storage area networks, software defined storage and early disaggregated/composable storage solutions such as NVMe over fabrics. Presented from the viewpoint of a real time block storage tiering architect with products deployed in more than 1 million PCs and servers.
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ДРУГИ ЕПИЗОДИ В ТОЗИ ПОДКАСТ
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Los Alamos is working to revolutionize how scientific data management is done, moving from large Petabyte sized files generated periodically by extreme scale simulations to a record and column based approach. Along the journey, the NVMe Computational Storage efforts became a strategic way to help a…
Large-scale data analytics, machine learning, and big data applications often require the storage of a massive amount of data. For cost-effective high bandwidth, many data centers have used tiered storage with warmer tiers made of flashes or persistent memory modules and cooler tiers provisioned wi…
Synthetic DNA-based data storage is a major attraction due to the possibility of storage over long periods. This technology is a solution for the current data centers, reducing energy consumption and physical storage space. Nowadays, the quantity of data generated has been growing exponentially, wh…
Data persistence on CXL is an essential enabler toward the goal of instant-on processing. DRAM class performance combined with non-volatility on CXL enables a new class of computing architectures that can exploit these features and solve real-world bottlenecks for system performance, data reliabili…
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