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MemVerge Introduces Memory Machine Cloud: Unleashes the Power of Cloud Automation 2.0 So Users Can Seize Control

MemVerge

MemVerge, a cloud automation pioneer, unveiled Memory Machine Cloud Essentials, Pro, and Enterprise built on the company’s innovative Cloud Automation 2.0 technology. The platform is transformative for analytic application users, as it empowers millions of users who are non-cloud experts to take advantage of cloud computing. Memory Machine Cloud delivers high-availability for thousands of non-fault-tolerant apps running on low-cost Spot instances and it allows workloads to “surf” the cloud to optimize cloud resource usage continuously during runtime.

Memory Machine Cloud has achieved Spot Ready status with AWS and is integrated with popular development environments like Jupyter Notebook and RStudio as well as workflow managers such as Nextflow and Cromwell. Users are invited to get started today with Memory Machine Cloud Essentials, which is free forever.

“App users want to seize control of cloud computing and its cost without becoming a cloud expert or relying on another organization,” said Jon Jiang, COO, MemVerge. “Memory Machine Cloud democratizes cloud computing by making it extremely simple to run apps in the cloud and by automating the previously complicated tasks of optimizing cost, performance, and availability.”

Also Read: Omnicom Strengthens Partnership with Adobe to Bring Enterprise Generative AI Capabilities to Clients 

Key Benefits to Cloud Users Made Possible by MemVerge Innovation

Non-cloud-experts empowered to cloud compute – Instead of waiting on cloud IT to configure and submit workloads, the Float automated job management service configures the cloud for you. For the first time, data scientists can easily submit jobs in as little as 1 minute. See for yourself with the SimSurf Simulator.

Spot is now safe for non-fault-tolerant apps – Using groundbreaking AppCapsule snapshot technology, the SpotSurfer checkpointing and recovery service gracefully recovers and re-starts jobs when a Spot instance is reclaimed, making it possible for long-running stateful workloads to run safely on Spot instances and allowing organizations to save up to 90% in compute cost.

According to Vince Pagano, Senior Scientific Programmer, TGen, “I was getting up to 80% batch failure rates with Spot EC2. Now with SpotSurfer we have already brought failure rates due to spot reclaims to below 1%, and we are just getting started.”

Optimize continuously during runtime – Without Memory Machine Cloud, cloud resources are routinely over-provisioned for the peak requirements of bursty applications. The breakthrough WaveRider continuous right-sizing service enables workloads to “surf” automatically to smaller or larger instances during job runtime based on their real-time resource needs. The result for users like Honsun and TGen is fine-grained optimization that delivers both minimum cost and maximum performance.

SOURCE: PRNewswire