Efficiency of Data-Centric Computing: Integrating Compute and Storage Systems

Watch a 19-minute conference talk from the SNIA Compute+Memory+Storage Summit exploring how data-centric computing approaches can revolutionize modern data processing challenges. Discover why moving computation closer to data storage creates more efficient systems compared to transferring large datasets, resulting in reduced network traffic, lower latency, and improved total cost of ownership. Learn about integrating compute, data, and I/O acceleration with storage systems to create highly efficient engines for data-intensive applications like training large language models, supporting metaverse technologies, and enabling edge computing. StorageX.ai Founder and CEO Steven Yuan explains strategies for addressing both "big" and "fast" data challenges while meeting demanding requirements for low latency and high bandwidth services in next-generation data centers.