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Excelero: NVMesh on Azure Addressing Gaps in Public Cloud Storage With 25x Performance for IO-Intensive Workloads

NVMesh elastic NVMe storage software on Microsoft Azure provides AI/ML, GPU computing, HPC and analytics with more IO/s and throughput at better cost.

Excelero Storage Ltd. has added public cloud storage support to its NVMesh elastic NVMe SDS solution.

Excelero Launches Nvmesh On Azure,

Available first for the Microsoft Azure platform, and later for other major public clouds, it expands public cloud capabilities by addressing the massive gaps experienced by thousands of organizations that face performance challenges while attempting to transition their demanding IO-intensive workloads to public clouds at a reasonable cost.

Excelero Mvmesh Schemediagram 2

By leveraging the company‘s scalable, elastic, low-latency SDS on standard cloud compute elements, beta use has shown that NVMesh on Azure provides up to 25x more IO/s and up to 10x more bandwidth to a single compute elementwhile reducing latencies by 80% from a protected storage layer. Using standard instances for storage on cost-effective NVMe drives, enterprises can get the most value out of their data leveraging their cloud pricing and discounts. For converged environments, with applications running on the same VMs that run the storage, TCO is further improved since the storage is embedded into the compute at almost no additional cost.

Many of our customers require low latency and high throughput storage for their IO-Intensive workloads,” said Aman Verma, product manager, HPC, Microsoft Azure. “Excelero’s NVMesh on Azure’s IB-enabled H- and N-series VMs provides an exciting new scalable, protected storage option for several high growth segments of the market, including HPC and AI workloads.

With NVMesh, data scientists achieve efficient and cost-effective model training through high bandwidth and low latency and rates of millions of file accesses per second. Database and analytics workloads and high performance computation can be run on CPUs and GPUs without stalling for I/O and at a reasonable cost. The same methods can be employed with the same software stack deployed on-premise and on public clouds.

With data protection becoming essential for IO-intensive applications, NVMesh on Azure protects data by mirroring across local NVMe drives. The solution allows data to be spread across availability zones for an additional level of protection. Self-healing and advance warning functionality assist in ensuring data longevity. Enterprises have no concerns over data compliance and security as data is stored on nodes within their account.

In container-native settings, Excelero’s Kubernetes CSI driver and IBM Red Hat OpenShift integration provide a second simple means of rolling out NVMesh on Azure enabling hybrid cloud deployments, for instance for burst-oriented workloads.

Nvmesh On Azure Scheme1

Gaps in public cloud storage capabilities prevent many demanding applications from running on public clouds, regardless of the obvious cost and scalability advantages, and force enterprises to endure a latency penalty should they go there,” said Eric Burgener, research VP, infrastructure systems, platforms and technologies group, IDC. “These gaps also are preventing public cloud providers from fueling their own growth. Solutions that remove these barriers are emerging, and they are an exciting development to watch.

Too many of our customers are struggling with IO-intensive workloads that they would prefer to move to the public cloud, yet public cloud providers are grappling to deliver the cost-performance their customers need with these storage workloads,” said Yaniv Romem, CEO, Excelero. “Excelero’s new NVMesh on Azure bridges the gap between what the market offers and what enterprises require, helping them avoid costly overprovisioning of storage so they can embrace hybrid- and multi-cloud strategies assuring performance, agility and cost control. Look for continued innovation from us in this space across the coming months.

NVMesh on Azure is publicly available.

Nvmesh On Azure Spectabl

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