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Frank Berry, Vice President of Marketing for MemVerge, presents the changing computing landscape. With today’s AI and big data analytics challenges, companies are at an inflection point and looking to add more memory capacity and features. This “big memory” challenge is what the MemVerge Memory Machine is intended to address.
Personnel: Frank Berry
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Yue Li, CTO, presents the MemVerge Memory Machine snapshot capability, putting it in context of challenges facing AI applications in the enterprise. He first presents the tiered memory allocation model and the use case for in-memory image recognition and virtualized servers. Then he discusses the potential for in-memory snapshots to support these applications, including the potential performance gains versus rebuilding data sets.
Personnel: Yue Li
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Yong Tian, Director, Product Management, presents MemVerge Big Memory Workbench. This enables users to interact with big memory using a GUI, CLI, or REST API to eliminate expensive file I/O and enable big memory analytics.
Personnel: Yong Tian
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Dale Kim, Sr. Director, Technical Solutions, Hazelcast, presents the combined solution from his company and MemVerge.
Personnel: Dale Kim
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