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Enabling AI Data Pipelines: Optimized Storage for AI

Comply with theCUBE’s wall-to-wall protection as the roaming information workdesk for SiliconANGLE records live from technology’s leading occasions https://siliconangle.com/category/cube-event-coverage/

Take a look at the complete post https://siliconangle.com/2024/08/13/supermicro-ai-server-solutions-thecube-reports-openstoragesummit/

Discover even more concerning theCUBE’s protection of the Supermicro Open Storage Summit https://www.thecube.net/events/supermicro/open-storage-summit-2024

With innovations in networking and storage space, such as Nvidia’s 800 Gb networking and Micron’s high-capacity SSDs, the specialists highlight the requirement for faster information transfer to maintain GPUs totally used. Firms, consisting of Cloudian, supply scalable, protected item storage space to handle huge AI datasets successfully, while crossbreed storage space remedies provide versatility in between on-prem and cloud settings, making certain smooth AI procedures.

Comply with theCUBE’s wall-to-wall insurance coverage as the roaming information workdesk for SiliconANGLE records live from technology’s leading occasions https://siliconangle.com/category/cube-event-coverage/

Rob Strechay, major expert at theCUBE Study, was signed up with by William Li, supervisor of option monitoring at Super Micro Computer System; Rob Davis, VP of storage space modern technology at Nvidia; Steve Hanna, head of item administration of high-capacity NVMe SSDs at Micron Innovation; Shimon Ben-David, CTO of WekaIO; and Jon Toor, CMO of Cloudian, throughout the Supermicro Open Storage space Top, powered by Supermicro, Intel, AMD and Nvidia.

Capture up on theCUBE’s insurance coverage of the Supermicro Open Storage Summit https://www.youtube.com/playlist?list=PLenh213llmcaUXaILTM9ekzV39kvLDmvF

The professional visitors discover the relevance of high-performance storage space options for AI and artificial intelligence work, highlighting Supermicro’s Petascale NVMe storage space. It deals with the difficulties of preparing information for AI, covering phases such as information cleaning, attribute design and assimilation.

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