Beyond Big Data is Big Memory Computing for 100X Speed

MemVerge, the inventor of Memory Machine software, today introduced what’s next for in-memory computing: Big Memory Computing. This new category is sparking a revolution in data center architecture where all applications will run in memory. Until now, in-memory computing has been restricted to a select range of workloads due to the limited capacity and volatility of DRAM and the lack of software for high availability. Big Memory Computing is the combination of DRAM, persistent memory and Memory Machine software technologies, where the memory is abundant, persistent and highly available.

Transparent Memory Service

Scale-out to Big Memory configurations.
100x more than current memory.
No application changes.

Big Memory Machine Learning and AI

* The model and feature libaries today are often placed between DRAM and SSD due to insufficient DRAM capacity, causing slower performance
* MemVerge Memory Machine bring together the capacity of DRAM and PMEM of the cluster together, allowing the model and feature libraries to be all in memory.
* Transaction per second (TPS) can be increased 4X, while the latency of inference can be improved 100X

MemVerge was founded on the vision that every application should run in memory. The advent of Intel® Optane persistent memory makes it possible for applications of any size to forgo traditional storage in favor of petabyte-size pools of shared persistent memory. Designed for these big memory lakes, MemVerge Memory Machine software provides powerful data services such as ZeroIO Snapshot and memory replication, addressing application data persistence directly in memory. Compatible with existing and future applications, MemVerge technology will revolutionize data center architecture and make data-centric workloads such as artificial intelligence (AI), machine learning (ML), trading and financial market data analytics and high-performance computing (HPC) easier to develop and deploy. Enterprises can now train and infer from AI/ML models faster, work with larger data sets in memory, complete more queries in less time and consistently replicate memory between servers.

Big Memory is Backed by Industry Leaders

MemVerge is announcing $19 million in funding from new investors including lead investor Intel Capital as well as Cisco Investments, NetApp and SK hynix, with additional participation from existing investors Gaorong Capital, Glory Ventures, Jerusalem Venture Partners, LDV Partners, Lightspeed Venture Partners and Northern Light Venture Capital. The investment will be used to advance the development of MemVerge’s Memory Machine software and build out the company’s sales and marketing functions.

SOURCES – Memverge, Intel
Written by Brian Wang, Nextbigfuture.com