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Computational Storage is a new field that is addressing performance and scaling issues for compute with traditional server architectures. This is an active area of innovation in the industry where multiple device and solution providers are collaborating in defining this architecture while actively working to create new and exciting solutions. The SNIA Computational Storage TWG is leading the way with new interface definitions with Computational Storage APIs that work across different hardware architectures. Learn how these APIs may be applied and what types of problems they can help solve.
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Търсене в минали епизоди на Storage Developer Conference.
ДРУГИ ЕПИЗОДИ В ТОЗИ ПОДКАСТ
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…
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…
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…
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