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 industy updates delivered to you every week!

With New Owner and New Roadmap, an Independent Omni-Path Is Staging a Comeback

July 23, 2021

Put on a shelf by Intel in 2019, Omni-Path faced a uncertain future, but under new custodian Cornelis Networks, OmniPath is looking to make a comeback as an independent high-performance interconnect solution. A "significant refresh" – called Omni-Path Express – is coming later this year according to the company. Cornelis Networks formed last September as a spinout of Intel's Omni-Path division. Read more…

PEARC21 Panel Reviews Eight New NSF-Funded HPC Systems Debuting in 2021

July 23, 2021

Over the past few years, the NSF has funded a number of HPC systems to further supply the open research community with computational resources to meet that community’s changing and expanding needs. A review of these systems at the PEARC21 conference (July 19-22) highlighted... Read more…

Chameleon’s HPC Testbed Sharpens Its Edge, Presses ‘Replay’

July 22, 2021

“One way of saying what I do for a living is to say that I develop scientific instruments,” said Kate Keahey, a senior fellow at the University of Chicago and a computer scientist at Argonne National Laboratory, as s Read more…

PEARC21 Plenary Session: AI for Innovative Social Work

July 21, 2021

AI analysis of social media poses a double-edged sword for social work and addressing the needs of at-risk youths, said Desmond Upton Patton, senior associate dean, Innovation and Academic Affairs, Columbia University. S Read more…

Summer Reading: “High-Performance Computing Is at an Inflection Point”

July 21, 2021

At last month’s 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART), a group of researchers led by Martin Schulz of the Leibniz Supercomputing Center (Munich) presented a “position paper” in which they argue HPC architectural landscape... Read more…

AWS Solution Channel

Accelerate innovation in healthcare and life sciences with AWS HPC

With Amazon Web Services, researchers can access purpose-built HPC tools and services along with scientific and technical expertise to accelerate the pace of discovery. Whether you are sequencing the human genome, using AI/ML for disease detection or running molecular dynamics simulations to develop lifesaving drugs, AWS has the infrastructure you need to run your HPC workloads. Read more…

PEARC21 Panel: Wafer-Scale-Engine Technology Accelerates Machine Learning, HPC

July 21, 2021

Early use of Cerebras’ CS-1 server and wafer-scale engine (WSE) has demonstrated promising acceleration of machine-learning algorithms, according to participants in the Scientific Research Enabled by CS-1 Systems panel Read more…

With New Owner and New Roadmap, an Independent Omni-Path Is Staging a Comeback

July 23, 2021

Put on a shelf by Intel in 2019, Omni-Path faced a uncertain future, but under new custodian Cornelis Networks, OmniPath is looking to make a comeback as an independent high-performance interconnect solution. A "significant refresh" – called Omni-Path Express – is coming later this year according to the company. Cornelis Networks formed last September as a spinout of Intel's Omni-Path division. Read more…

Chameleon’s HPC Testbed Sharpens Its Edge, Presses ‘Replay’

July 22, 2021

“One way of saying what I do for a living is to say that I develop scientific instruments,” said Kate Keahey, a senior fellow at the University of Chicago a Read more…

Summer Reading: “High-Performance Computing Is at an Inflection Point”

July 21, 2021

At last month’s 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART), a group of researchers led by Martin Schulz of the Leibniz Supercomputing Center (Munich) presented a “position paper” in which they argue HPC architectural landscape... Read more…

PEARC21 Panel: Wafer-Scale-Engine Technology Accelerates Machine Learning, HPC

July 21, 2021

Early use of Cerebras’ CS-1 server and wafer-scale engine (WSE) has demonstrated promising acceleration of machine-learning algorithms, according to participa Read more…

15 Years Later, the Green500 Continues Its Push for Energy Efficiency as a First-Order Concern in HPC

July 15, 2021

The Green500 list, which ranks the most energy-efficient supercomputers in the world, has virtually always faced an uphill battle. As Wu Feng – custodian of the Green500 list and an associate professor at Virginia Tech – tells it, “noone" cared about energy efficiency in the early 2000s, when the seeds... Read more…

Frontier to Meet 20MW Exascale Power Target Set by DARPA in 2008

July 14, 2021

After more than a decade of planning, the United States’ first exascale computer, Frontier, is set to arrive at Oak Ridge National Laboratory (ORNL) later this year. Crossing this “1,000x” horizon required overcoming four major challenges: power demand, reliability, extreme parallelism and data movement. Read more…

Quantum Roundup: IBM, Rigetti, Phasecraft, Oxford QC, China, and More

July 13, 2021

IBM yesterday announced a proof for a quantum ML algorithm. A week ago, it unveiled a new topology for its quantum processors. Last Friday, the Technical Univer Read more…

ExaWind Prepares for New Architectures, Bigger Simulations

July 10, 2021

The ExaWind project describes itself in terms of terms like wake formation, turbine-turbine interaction and blade-boundary-layer dynamics, but the pitch to the Read more…

AMD Chipmaker TSMC to Use AMD Chips for Chipmaking

May 8, 2021

TSMC has tapped AMD to support its major manufacturing and R&D workloads. AMD will provide its Epyc Rome 7702P CPUs – with 64 cores operating at a base cl Read more…

Intel Launches 10nm ‘Ice Lake’ Datacenter CPU with Up to 40 Cores

April 6, 2021

The wait is over. Today Intel officially launched its 10nm datacenter CPU, the third-generation Intel Xeon Scalable processor, codenamed Ice Lake. With up to 40 Read more…

Berkeley Lab Debuts Perlmutter, World’s Fastest AI Supercomputer

May 27, 2021

A ribbon-cutting ceremony held virtually at Berkeley Lab's National Energy Research Scientific Computing Center (NERSC) today marked the official launch of Perlmutter – aka NERSC-9 – the GPU-accelerated supercomputer built by HPE in partnership with Nvidia and AMD. Read more…

Ahead of ‘Dojo,’ Tesla Reveals Its Massive Precursor Supercomputer

June 22, 2021

In spring 2019, Tesla made cryptic reference to a project called Dojo, a “super-powerful training computer” for video data processing. Then, in summer 2020, Tesla CEO Elon Musk tweeted: “Tesla is developing a [neural network] training computer called Dojo to process truly vast amounts of video data. It’s a beast! … A truly useful exaflop at de facto FP32.” Read more…

Google Launches TPU v4 AI Chips

May 20, 2021

Google CEO Sundar Pichai spoke for only one minute and 42 seconds about the company’s latest TPU v4 Tensor Processing Units during his keynote at the Google I Read more…

CentOS Replacement Rocky Linux Is Now in GA and Under Independent Control

June 21, 2021

The Rocky Enterprise Software Foundation (RESF) is announcing the general availability of Rocky Linux, release 8.4, designed as a drop-in replacement for the soon-to-be discontinued CentOS. The GA release is launching six-and-a-half months after Red Hat deprecated its support for the widely popular, free CentOS server operating system. The Rocky Linux development effort... Read more…

CERN Is Betting Big on Exascale

April 1, 2021

The European Organization for Nuclear Research (CERN) involves 23 countries, 15,000 researchers, billions of dollars a year, and the biggest machine in the worl Read more…

Iran Gains HPC Capabilities with Launch of ‘Simorgh’ Supercomputer

May 18, 2021

Iran is said to be developing domestic supercomputing technology to advance the processing of scientific, economic, political and military data, and to strengthen the nation’s position in the age of AI and big data. On Sunday, Iran unveiled the Simorgh supercomputer, which will deliver.... Read more…

Leading Solution Providers

Contributors

HPE Launches Storage Line Loaded with IBM’s Spectrum Scale File System

April 6, 2021

HPE today launched a new family of storage solutions bundled with IBM’s Spectrum Scale Erasure Code Edition parallel file system (description below) and featu Read more…

Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?

January 13, 2021

The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from Julialang.org. I Read more…

10nm, 7nm, 5nm…. Should the Chip Nanometer Metric Be Replaced?

June 1, 2020

The biggest cool factor in server chips is the nanometer. AMD beating Intel to a CPU built on a 7nm process node* – with 5nm and 3nm on the way – has been i Read more…

GTC21: Nvidia Launches cuQuantum; Dips a Toe in Quantum Computing

April 13, 2021

Yesterday Nvidia officially dipped a toe into quantum computing with the launch of cuQuantum SDK, a development platform for simulating quantum circuits on GPU-accelerated systems. As Nvidia CEO Jensen Huang emphasized in his keynote, Nvidia doesn’t plan to build... Read more…

Microsoft to Provide World’s Most Powerful Weather & Climate Supercomputer for UK’s Met Office

April 22, 2021

More than 14 months ago, the UK government announced plans to invest £1.2 billion ($1.56 billion) into weather and climate supercomputing, including procuremen Read more…

Q&A with Jim Keller, CTO of Tenstorrent, and an HPCwire Person to Watch in 2021

April 22, 2021

As part of our HPCwire Person to Watch series, we are happy to present our interview with Jim Keller, president and chief technology officer of Tenstorrent. One of the top chip architects of our time, Keller has had an impactful career. Read more…

Quantum Roundup: IBM, Rigetti, Phasecraft, Oxford QC, China, and More

July 13, 2021

IBM yesterday announced a proof for a quantum ML algorithm. A week ago, it unveiled a new topology for its quantum processors. Last Friday, the Technical Univer Read more…

Senate Debate on Bill to Remake NSF – the Endless Frontier Act – Begins

May 18, 2021

The U.S. Senate today opened floor debate on the Endless Frontier Act which seeks to remake and expand the National Science Foundation by creating a technology Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire