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Big Memory Cloud Technology New In-Memory Cloud Services
MemVerge Unveils Big Memory Cloud Technology
Featured Big Memory Solutions
"The world is going multi-cloud. Big Memory Cloud is an important enabling technology for stateful apps to not only survive but thrive in this multi-cloud world.”
Research Vice President, Infrastructure Systems, Platforms and Technologies | IDC
"It is exciting to see this offering from MemVerge that will help enable enterprises to take advantage of the speed of traditional memory with the capacity that persistent memory delivers, without requiring application code modifications."
VP & GM, Memory & Storage Product Group | Intel
"MemVerge's Memory Machine software demonstrates marked performance gain over other in-memory infrastructure while displaying lower jitter and increased determinism."
CTO | MemX
“We are using Memory Machine to virtualize DRAM and PMEM across our data, cloud, HPC, and AI practices as an important aspect of our edge-to-core strategy.”
SVP Strategic Solutions Group | Penguin Computing
“MemVerge Memory Machine's ZeroIO Snapshot capability dramatically improves performance of new applications, reducing the time to recovery from hours to seconds.”
Head of Cloud and Hybrid Datacenter | Banca Intesa Sanpaolo
"The Big Memory platform that MemVerge and Intel developed accelerates our workflows and helps us generate results much faster, which will lead to more efficient ways to gain greater insights and knowledge in diseases mechanisms and improve healthcare.”
Head of Bioinformatics Operations | Analytical Biosciences
“The promise of increased agility and faster operations has already fueled rampant adoption of public cloud services. With MemVerge’s Big Memory Computing and AppCapsule technology, that game-changing potential of the cloud becomes even more accessible to stateful applications.”
Practice Director | ESG
“Being able to seamlessly and graciously recover from system failures during complex simulation runs is critical to optimize efficiency for completing jobs with long run-times. Checkpointing is a well-understood technique for saving the states of independent node memory during a failure mode and restoring that state when the machine is back up and running. Bringing checkpointing capability to big memory architectures with pooled, distributed memory across multiple nodes operating on large datasets should further enable adoption of in-memory computing techniques within the HPC and AI communities. Kudos to MemVerge for stepping up to provide the industry stewardship to make DMTCP a commercial reality."
Senior Research Analyst | Hyperion Research
"Robust, performant checkpointing offers us flexibility in scheduling jobs for system maintenances and real-time data processing for experimental facilities. This feature also allows us to better backfill jobs, which ultimately leads to increased system utilization and improved job throughput for our nearly 8,000 scientific users.”
User Engagement Group Lead | National Energy Research Scientific Computing Center (NERSC), Lawrence Berkeley National Laboratory
The World’s 1st Big Memory Software
IDC defines Big Memory Computing as a market segment consisting of memory hardware and Big Memory software that creates a new persistent memory tier.
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