FMS: The Future of Memory and Storage

Articles related to FMS: The Future of Memory and Storage
Storage

Join MemVerge at FMS for Servers with CXL Technology - News

July 30, 2024

Throughout the last year, CXL vendors have attracted interest from IT organizations by promising products that deliver increased memory bandwidth and capacity for applications that require significant memory. Announcements for CXL memory modules and software support have come from MemVerge, Red Hat, and VMware. The final piece needed to provide customers with CXL technology is the availability of servers.
 

Storage

FADU’s CEO, Jihyo Lee, to Co-Keynote at the 2024 Future of Memory and Storage - News

July 26, 2024

At the 2024 Future of Memory and Storage (FMS), FADU’s CEO, Jihyo Lee, will co-keynote with Meta's Ross Stenfort and Western Digital's Eric Spanneut, unveiling next-generation datacenter solutions focused on low power and high efficiency.

Storage

Future of Memory and Storage Announces Keynote from Ji-Hyo Lee - News

July 25, 2024

Ji-Hyo Lee, CEO of FADU, will deliver a keynote at Future of Memory and Storage on August 6th. The focus will be “Navigating the AI Revolution.” Lee will present an in-depth examination of flash storage innovation as hyperscalers and the AI market expand. He will consider the connection between hyperscaler infrastructure advancements and flash storage demands and discuss the effects on standardization efforts through the Open Compute Project (OCP) and other initiatives.

Industrial

Well Deserved, Harriet Coverston Earns FMS: The Future of Memory and Storage's SuperWomen of FMS Leadership Award for 2024 - News

July 24, 2024

Harriet Coverston has contributed significantly to file systems and archival storage systems, showing that high-performance archiving and file systems can be integrated on a large scale. She developed the Quick File System (QFS), which led to the creation of SAM-QFS, the first multi-node clustered file system that incorporated archiving to meet the high-performance scaling requirements of large real-time streaming data systems.