Cavium QLogic Accelerates NVMe over Fabrics Adoption

May 9, 2017

SAN JOSE, Calif., May 9, 2017 — Today, Cavium, Inc. (NASDAQ: CAVM), a leading provider of products that enable intelligent processing for enterprise and cloud data centers, announced that its family of QLogic Gen 6 Fibre Channel and FastLinQ Ethernet adapters will support NVMe over Fabrics (NVMe-oF) technology, enabling the scale out of flash storage platforms.

NVMe-oF defines an efficient mechanism to utilize NVMe devices in large scale storage deployments and provides investment protection by leveraging the latest innovations and advances in low latency SSD flash to be realized over proven Fibre Channel and Ethernet RDMA fabrics. NVMe over Fabrics enables NVMe storage devices to be shared, pooled and managed more effectively across a fabric.

With support for 32GFC and 100Gbps Ethernet, the 2690 Enhanced Gen 5 and 2700 Series Gen 6 Fibre Channel, and FastLinQ 45000 series Ethernet adapters, provide streamlined access to low latency NVMe SSDs enabling scale out architectures, simplifying design, reducing overhead and improving performance.

Cavium has commenced an early access program for NVMe over Fibre Channel (FC-NVMe) and NVMe over Universal RDMA (NVMe-oF) for select partners, with plans to expand the program in Q2’17.

Cavium QLogic NVMe over Fibre Channel (FC-NVMe) Solution

Next-generation data intensive workloads are utilizing low latency NVMe flash-based storage to meet ever increasing user demand. By combining the lossless, highly deterministic nature of Fibre Channel with NVMe, FC-NVMe delivers the performance, application response time, and scalability needed for next generation data centers, while leveraging existing Fibre Channel infrastructure. Currently shipping QLogic 2690 Series of Enhanced Gen 5 and 2700 Series of Gen 6 Fibre Channel adapters are FC-NVMe ready and are being evaluated in FC-NVMe fabrics by multiple customers and partners across the industry.

Key benefits of QLogic FC-NVMe Solution are:

  • Leading the standard: Cavium chairs the T11 committee defining the FC-NVMe specification. With broad support from industry, the specification achieved internal Letter Ballot status on December 8th, 2016, and is on track to become a ratified standard later this year.
  • Industry’s Highest Performance: QLogic Fibre Channel adapters deliver the industry’s highest transactional performance of up to 2.6 Million IOPS, enabling the most demanding enterprise workloads that have the potential to leverage flash and NVMe. The QLogic 2700 series Gen 6 Fibre Channel adapter portfolio is the broadest in the industry with single, dual and quad port variants.
  • Concurrent Operation and Investment Protection: With QLogic technology, FC-NVMe workloads can be seamlessly introduced into existing FCP-SCSI fabrics. With QLogic 2690 and 2700 Series FC HBAs, FCP-SCSI and FC-NVMe protocol traffic can run concurrently without requiring any rip and replace of existing infrastructure.
  • Advanced SAN Fabric Management– QLogic StorFusion™ technology delivers a full suite of diagnostics, rapid provisioning and QoS services throughout the fabric which automate and simplify SAN deployment and orchestration.
  • Software Defined Storage – Cavium is driving innovation in software defined storage platforms with target mode drivers for the Storage Performance Developer Kit (SPDK) project, which provides a high performance user-space device implementation under the BSD license.

Cavium FastLinQ NVMe over Ethernet Universal RDMA (NVMe-oF) Solution

Driven by the performance demands of NVMe, high performance, low latency networking is a fundamental requirement for a fabric to scale out. Ethernet based RDMA fabrics with their exceptional low latency and offload capabilities will become a popular choice for NVMe over Fabrics. Cavium FastLinQ 45000 Series 10/25/40/50/100GbE Ethernet adapters support Universal RDMA (RoCE, RoCEv2 and iWARP) and deliver the ultimate choice to customers for scaling out NVMe over a general-purpose Ethernet fabric.

Key benefits of Cavium FastLinQ NVMe over Ethernet RDMA Solution are:

  • Broad Spectrum of Ethernet connectivity speeds – 10/25/40/50/100GbE to host the most demanding enterprise, telco and cloud applications and deliver scalability to drive business growth, available in cost optimized standard, blade and OCP form factors.
  • Universal RDMA –  Industry’s only network adapter that delivers customers technology choice and investment protection with support for concurrent RoCE, RoCEv2 and iWARP for NVMe over Fabrics.
  • Server Virtualization – Optimize infrastructure costs and increase virtual machine density by leveraging in-built technologies like SR-IOV and Network Partitioning (NPAR) that deliver acceleration and QoS for virtual workloads and infrastructure traffic.
  • Standards Compliant: Cavium NVMe over Ethernet RDMA solutions are compliant with the currently released version of the NVMe over RDMA Fabrics specification.

Cavium 45000 Series 10/25/40/50/100GbE, QLogic 2690 Series Enhanced Gen 5 16GFC and 2700 Series Gen 6 32GFC adapters are available from Cavium and multiple leading OEMs and ODMs.

To get access to the Cavium QLogic NVMe-oF Evaluation Kit and for more information, visit www.qlogic.com/nvmeof

“NVMe over Fabric technologies are unlocking the value of data by delivering a low latency, scalable, secure and proven fabric to extended the reach of NVMe across a large-scale fabric.” said Raghib Hussain, Chief Operating Officer, Cavium. “Cavium QLogic Fibre Channel and FastLinQ Ethernet Universal RDMA solutions for NVMe deliver the ultimate choice to customers looking to bring the performance and economics of NVMe to enterprise and cloud datacenters.”

 

 

About Cavium

Cavium, Inc. (NASDAQ: CAVM), offers a broad portfolio of infrastructure solutions for compute, security, storage, switching, connectivity and baseband processing. Cavium’s highly integrated multi-core SoC products deliver software compatible solutions across low to high performance points enabling secure and intelligent functionality in Enterprise, Datacenter and Service Provider Equipment. Cavium processors and solutions are supported by an extensive ecosystem of operating systems, tools, application stacks, hardware reference designs and other products. Cavium is headquartered in San Jose, CA with design centers in California, Massachusetts, India, Israel, China and Taiwan.


Source: Cavium

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!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen 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…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. 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…

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…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a 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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer 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…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire