Excelero Announces NVMesh 2

October 30, 2018

SAN JOSE, Calif., Oct. 30, 2018 — Excelero, a disruptor in software-defined block storage, announced NVMesh 2, its software-only storage solution built for modern applications that have an insatiable need to scale flexibly and efficiently. Already the lowest latency block storage platform on the market with its 5 microsecond latency, NVMesh 2 adds three critical sets of capabilities that lower barriers to deploying shared NVMe storage across more end-user applications – an efficiency and performance advantage that delivers customers a time-to-innovation advantage. New capabilities include:

  • MeshConnect – adding support for traditional network technologies TCP/IP and Fibre Channel, giving NVMesh the widest selection of supported protocols and fabrics of software-defined storage platforms along with already supported InfiniBand, RoCE v2, RDMA and NVMe-oF.
  • MeshProtect – offering flexible protection levels for differing application needs, including mirrored and parity-based redundancy.
  • MeshInspect – with performance analytics for pinpointing anomalies quickly and at scale.

NVMe over any fabric, without changing your network

As most enterprise servers become NVMe-enabled by 2019 (G2M Research), and as the NVMe over fabrics (NVMe-oF) protocol for accessing NVMe over the network takes off, the rush is on to allow more teams to share NVMe SSD resources and apply NVMe’s performance and cost-advantage anywhere. Excelero’s NVMesh 2 is a complete web-scale software solution with the distributed data protection and storage provisioning that make shared NVMe storage practical, efficient and readily managed. With NVMesh 2 IT leaders can:

  • Make network latency a non-issue and fix underutilized resources. NVMesh 2 delivers shared NVMe at local performance and 90+% storage efficiency that helps further drive down the cost per GB. Enterprises and service providers achieve the same consistent performance from small to large systems.
  • Gain ubiquitous NVMe access, without changing their workflow. NVMesh was designed from the ground up to support any network. With its support for NVMe over TCP/IP and Fibre Channel, there’s no need to invest in supporting a specialized networking protocol. Teams can achieve heightened storage capacity, flexibility and scale-out support with their preferred fabrics and protocols.
  • Achieve hardware independence. Run anything from anywhere, and leverage state of the art components including NVMe, storage-class memory, smart NICs, CPU-less just a bunch of Flash (JBOF) deployments, in standard hardware.
  • Maximize choice in data protection. Starting from level 0 (no protection, lowest latency) to MeshProtect 10+2 (distributed dual parity) customers can choose their preferred level of performance and protection. Distributing data redundancy services eliminates the storage controller bottleneck. This decentralized approach means performance increases with the addition of each client, target and NVMe device; something that only a distributed, client-side data redundancy technology can deliver.
  • Get more diagnostics, with single-package installation. With built-in statistical collection and display, stored in a scalable NoSQL database, NVMesh 2 enables users to analyse cluster-wide and per-object performance and utilization. User customized options allow creation of dashboards from a selection of data visualization widgets.

“With the influx of more real-time workloads demanding storage performance that SCSI-based all-flash systems just can’t meet, more customers with webscale infrastructures are turning to NVMe,” said Eric Burgener, research vice president, Infrastructure Systems, Platforms and Technologies, at IDC. “Software-based solutions like Excelero’s NVMesh allow low latency NVMe storage to be efficiently shared across servers over a switched fabric, and offer customers the flexibility to craft these configurations to meet individual requirements in terms of performance, availability, network configuration and choice of hardware.”

“Customers want IT systems to deliver competitive advantage with architectures that are highly utilized, easily managed and hardware-independent. NVMesh 2 is the only software-defined storage that provides local NVMe Flash performance across the network and more importantly, also delivers the rest of what customers tell us they need for today’s modern applications,” said Lior Gal, CEO and co-founder of Excelero. “We believe with NVMesh 2 we have raised the bar significantly on the agility, efficiency and management features that IT managers should expect from storage going forward.”

NVMesh 2 will be generally available in January 2019. For more information visit https://www.excelero.com/product/nvmesh-2-0/

About Excelero

Excelero delivers low-latency distributed block storage for web-scale applications. Founded in 2014 by a team of storage veterans and inspired by the Tech Giants’ shared-nothing architectures for web-scale applications, the company has designed a software-defined block storage solution that meets the low-latency performance and scalability requirements of the largest web-scale and enterprise applications.

Excelero’s NVMesh enables shared NVMe across any network and supports any local or distributed file system. Customers benefit from the performance of local flash with the convenience of centralized storage while avoiding proprietary hardware lock-in and reducing the overall storage TCO. NVMesh is deployed by major web-scale customers, for data analytics and machine learning applications and in Media & Entertainment post-production and HPC environments.


Source: Excelero

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Research senior analyst Steve Conway, who closely tracks HPC, AI, Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

Anders Dam Jensen on HPC Sovereignty, Sustainability, and JU Progress

April 23, 2024

The recent 2024 EuroHPC Summit meeting took place in Antwerp, with attendance substantially up since 2023 to 750 participants. HPCwire asked Intersect360 Resear Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire