Mellanox Unveils ConnectX-4 VPI Adapter

November 12, 2014

SUNNYVALE, Calif. & YOKNEAM, Israel, Nov. 12 — Mellanox Technologies, Ltd., a leading supplier of end-to-end interconnect solutions for servers and storage systems, today announced the ConnectX-4 single/dual-port 100Gb/s Virtual Protocol Interconnect (VPI) adapter, the final piece to the industry’s first complete end-to-end 100Gb/s InfiniBand interconnect solution. Doubling the throughput of the previous generation, the ConnectX-4 adapter delivers the consistent, high-performance and low latency required for high performance computing (HPC), cloud, Web 2.0 and enterprise applications to process and fulfill requests in real-time.

Mellanox’s ConnectX-4 VPI adapter delivers 10, 20, 25, 40, 50, 56 and 100Gb/s throughput supporting both the InfiniBand and the Ethernet standard protocols, and the flexibility to connect any CPU architecture – x86, GPU, POWER, ARM, FPGA and more. With world-class performance at 150 million messages per second, latency of 0.7usec, and smart acceleration engines such as RDMA, GPUDirect and SR-IOV, ConnectX-4 will enable the most efficient compute and storage platforms.

“Large-scale clusters have incredibly high demands and require extremely low latency and high bandwidth,” said Jorge Vinals, director at Minnesota Supercomputing Institute of the University of Minnesota. “Mellanox’s ConnectX-4 will provide us with the node-to-node communication and real-time data retrieval capabilities we needed to make our EDR InfiniBand cluster the first of its kind in the U.S. With 100Gb/s capabilities, the EDR InfiniBand large-scale cluster will become a critical contribution to research at the University of Minnesota.”

“IDC expects the use of 100Gb/s interconnects to begin ramping up in 2015,” said Steve Conway, research vice president for high-performance computing at IDC. “Most HPC data centers need high bandwidth, low latency and strong overall interconnect performance to remain competitive in today’s increasingly data-driven world. The introduction of 100Gb/s interconnects will help organizations keep up with the escalating demands for data retrieval and processing, and will enable unprecedented performance on mission-critical applications.”

“Cloud infrastructures are becoming a more mainstream way of building compute and storage networks. More corporations and applications target the vast technological and financial improvements that utilization of the cloud offers,” said Eyal Waldman, president and CEO of Mellanox. “With the exponential growth of data, the need for increased bandwidth and lower latency becomes a necessity to stay competitive. The same applies to the high-performance computing and the Web 2.0 markets. We have experienced the pull for 100Gb/s interconnects for over a year, and now with ConnectX-4, we will have a full end-to-end 100Gb/s interconnect that will provide the lowest latency, highest bandwidth and return-on-investment in the market.”

ConnectX-4 adapters provide enterprises with a scalable, efficient and high-performance solution for cloud, Web 2.0, HPC and storage applications. The new adapter supports the new RoCE v2 (RDMA) specification, the full variety of overlay networks technologies – NVGRE (Network Virtualization using GRE), VXLAN (Virtual Extensible LAN), GENEVE (Generic Network Virtualization Encapsulation), and MPLS (Multi-Protocol Label Switching), and storage offloads such as T10-DIF and RAID offload, and more.

ConnectX-4 adapters will begin sampling with select customers in Q1 2015. With ConnectX-4, Mellanox will offer a complete end-to-end 100Gb/s InfiniBand solution, including the EDR 100Gb/s Switch-IB InfiniBand switch and LinkX 100Gb/s copper and fiber cables. For Ethernet-based data centers, Mellanox’s ConnectX-4 provides the complete link speed options of 10, 25, 40, 50 and 100Gb/s. Supporting these speeds, Mellanox offers a complete copper and fiber cable options. Leveraging Mellanox network adapters, cables and switches, users can ensure world-leading reliability, applications performance, and highest return-on-investment.

“For HPC and for Big Data, latency is a key contributor to application efficiency, and users pay more and more attention to time-to-solution,” said Pascal Barbolosi, VP Extreme Computing at Bull. “Bull is ready to incorporate Mellanox’s new end-to-end 100Gb/s interconnect solution in the bullx server ranges, to deliver ever more performance and continue to reduce latency.”

“Supermicro’s end-to-end Green Computing server, storage and networking solutions provide highly scalable, high performance, energy efficient server building blocks to support the most compute and data intensive supercomputing applications,” said Tau Leng, Vice President of HPC at Supermicro. “Our collaborative efforts with Mellanox to integrate ConnectX-4 100Gb/s adapters across our extensive range of solutions advances HPC to the next level for Scientific and Research communities with increased flexibility, scalability, lower latency and higher bandwidth interconnectivity.”

About Mellanox

Mellanox Technologies is a leading supplier of end-to-end InfiniBand and Ethernet interconnect solutions and services for servers and storage. Mellanox interconnect solutions increase data center efficiency by providing the highest throughput and lowest latency, delivering data faster to applications and unlocking system performance capability. Mellanox offers a choice of fast interconnect products: adapters, switches, software, cables and silicon that accelerate application runtime and maximize business results for a wide range of markets including high-performance computing, enterprise data centers, Web 2.0, cloud, storage and financial services. More information is available at http://www.mellanox.com/.

Source: Mellanox Technologies

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