Opening the Door to Big Memory
Abundant. Persistent. Available.
We decided, right at that moment, to start MemVerge. With every new hardware substrate, a new software stack must be developed to allow the applications to take full advantage of the new hardware. In this case, that solution is Software for the new category called Big Memory. At MemVerge, our mission is to open the door to Big Memory Computing via the Memory Machine™ Software we develop. We are well on our way.
All Applications Live in Memory
Open the Door to Big Memory
Shuki is a Fellow of the IEEE, a recipient of the Feynman Prize for Excellence in Teaching, a Sloan Research Fellowship and a National Science Foundation Young Investigator Award.
Shuki received his PhD in Electrical Engineering from Stanford University, and his B.Sc. and M.Sc. in Electrical Engineering from the Technion, Israel Institute of Technology.
Charles received his Ph.D. and M.S. in Electrical Engineering from the California Institute of Technology, and his B.E. in Electrical Engineering from the Cooper Union.
VP Finance and Operations
Prior to MemVerge, Kathy was Vice President, Controller at MapR Technologies where she joined as one of the earliest employees and developed infrastructure in accounting and operations that spanned the company’s growth from a startup to a well-established industry player. Prior to MapR, Kathy held the corporate controller position at Xactly Corporation, Rainfinity and SQRIBE. Her broad experience includes global accounting operations, ERP system setup and implementation, financial planning, and cash management. Kathy has a B.S. in Business Administration from San Francisco State University and an MBA from the University of Phoenix.
Andrew comes to MemVerge from Diamanti where he served as Vice President of Sales . He joined Diamanti just before their product was GA & built a $10M+ successful customer install base in the first year. Prior to Diamanti, Andrew was one of Pure Storage’s early sales hires, and was instrumental driving Pure’s go-to-market success. Andrew has also held sales positions at BMC Software, NetApp and Sun Microsystems.
Andrew received his Bachelors in Business Administration and Management from Xavier University.
Marco was a post-doctoral researcher at UC Berkeley and completed his PhD and M.S. degrees in computer science at ETH Zurich.
Jonathan received his M.S. in Information Systems from New York University, and B.S. in Engineering from the Cooper Union, where he graduated summa cum laude.
KEY MARKET DYNAMICS
A New Category is Emerging
Digital Transormation is Driving New Requirements
• 91.1% of enterprises undergoing DX in the next three years
• More data-centric business models will drive AI/ML-infused analytics
• Performance and availability implications for enterprise storage
• Market evolution will drive demand for persistent memory technologies
Real-Time Workloads Are On The Rise
• Worldwide, data is growing at a 26.0% CAGR, and in 2024 there will be 143 zettabytes of data created
• By 2021, 60-70% of the Global 2000 will have at least one mission-critical real-time workload
The Industry Responds with a New Category: Big Memory
Defining Big Memory
Big Memory is a class of computing where the new normal is mission-critical applications and data living in byte-addressable, and much lower cost, persistent memory.
It has all the ingredients needed to handle the growth of IMDB blast zones by accelerating crash recovery. Big Memory can scale-out massively in a cluster and is protected by a new class of memory data services that provide snapshots, replication and lightning fast recovery.
The Foundation is Intel Optane DC Persistent Memory
The Big Memory market is only possible if lower cost persistent memory is pervasive. To that end, IDC forecasts revenue for persistent memory to grow at an explosive compound annual growth rate of 248% from 2019 to 2023.
MemVerge Software is the Virtualization Layer
Wide deployment in business-critical tier-1 applications is only possible if a virtualization layer emerges to deliver HPC-class low latency and enterprise-class data protection. To that end, MemVerge pioneered Memory Machine™ software.
IDC MaturityScape Benchmark: Future Enterprise – Maturity Distribution Across the Stages
Worldwide Real-Time Data and Share, 2015-2024
Persistent Memory Revenue Forecast 2019 – 2023 – IDC
Memory Machine Software
Big Machine Software
Memory Machine is the industry’s first Big Memory software with the unique ability to virtualize memory for plug-and-play compatibility with existing applications, scale-out memory in a cluster to form a memory lake and provide data services which make the massive pools of memory highly available.
Fast Time-to-Deployment with Plugand-Play Compatibility
Transparent Memory Services allow Memory Machine to deploy and provide access to persistent memory with no modifications to application code.
Data Services Across a Cluster Make HA Possible
The Memory Machine allows persistent memory to scale-out among multiple servers in a cluster. The Cluster Manager directs communications snapshot, replication, and recovery operations across ultra-low latency RDMA connections.
Virtualizes DRAM & Persistent Memory
No Code Changes Needed
Snapshot, Replication & Recovery Data Services
Run across Ultra-Low Latency RDMA
Memory Machine Architecture
The Memory Machine architecture is designed to provide transparent access to persistent memory while at the same time providing developers with the tools to build highly available memory lakes across a cluster.
Memory Machine Benefits
Memory Machine Use Cases
According to IDC, by 2021, 60-70% of the Global 2000 organizations will have at least one missioncritical real-time workload. Below are just a few examples of use cases that are implementing Big Memory now.