Sugon Unveils ThunderX Blades for Galaxias SDC1000 Datacenter Server Platform

June 21, 2016

FRANKFURT, Germany, June 21 — Sugon Information Industry Co. Ltd (“Sugon”), a leader in China’s HPC sector and the largest HPC manufacturer in Asia announced availability of a new blade based on Cavium’s (NASDAQ: CAVM) ThunderX Workload Optimized processors for Galaxis SDC1000 Data Center server platform.

Sugon Information Industry Co., Ltd (“Sugon”) is a high-tech enterprise formed on the basis of significant scientific and technological achievements under Chinese National 863 Program, with the strong drive from the Chinese Academy of Sciences. Sugon specializes in the research, development and manufacture of high-performance computers, general servers and storage products, software services, system integration and other technical support for high-end server platforms. Sugon has won top spot on the list of list of China’s TOP 100 supercomputers by market share for six years in a row from 2009 to 2015. Sugon is publicly traded on Shanghai Stock Exchange (stock code: 603019).

Sugon’s Galaxias SDC1000 server delivers a revolutionary data center platform that brings together processors, networks, storage and IO devices in a unified 4U energy efficient system. The server provides flexible balance between computing, network and storage capabilities thereby reducing resource pooling overheads. SDC1000 can be used for deploying applications such as Hadoop, Spark and resources scheduling software

Galaxis SDC1000 can accommodate up to 16 ThunderX based blades with up to 64GB of memory per CPU. It supports both dedicated and shared storage options for the blades, dedicated 10G KR network and a 1GbE management network per blade. Each node can be provisioned on demand through a management console. Galaxias SDC1000 can scale from a single chassis with 32 nodes to multiple chassis in a rack and to multi-rack system with a 100GbE 3D torus network

The ThunderX product family is Cavium’s 64-bit ARMv8-A server processor for next generation Data Center and Cloud applications, and features high performance custom cores, single and dual socket configurations, high memory bandwidth and large memory capacity. The product family also includes integrated hardware accelerators, integrated feature rich high bandwidth network and storage IO, fully virtualized core and IO, and scalable high bandwidth, low latency Ethernet fabric, which affords ThunderX best-in-class performance per dollar and watt. They are fully compliant with ARMv8-A architecture specifications as well as ARM’s SBSA and SBBR standards, and widely supported by industry leading OS, Hypervisor and Software tool and application vendors.

“Our customers continue to demand continued platform innovation that reduces TCO and increases workload performance: said Dr. Xiaojun Yang, Chief Engineer, Sugon Information Industry. “The ThunderX based blades for Galaxis SDC1000 enhances our platform offering to deliver optimized performance key cloud storage and big data workloads, and will allow our customers to meet growing performance demands within their existing infrastructure.”

“We are pleased to partner with Sugon Information Industry on their flagship Galaxis SDC1000 data center server platform,” said Gopal Hegde, VP/GM Data Center Processor Group, Cavium.  “The new ThunderX based blades utilize full range of capabilities of ThunderX SOCs and will deliver best-in-class performance and outstanding TCO for cloud storage and big data applications”.

Availability

ThunderX blades for Galaxias SDC1000 is sampling today.

About Sugon

Sugon Information Industry Co., Ltd (“Sugon”) is a high-tech enterprise formed on the basis of significant scientific and technological achievements under the National 863 Program, with the strong drive from the Chinese Academy of Sciences. Sugon specializes in the research, development and manufacture of high-performance computers, general servers and storage products as well as providing the service of software designing, system integration and other technical support based on high-end computers. In 2014, Sugon was successfully listed on Shanghai Stock Exchange (stock code: 603019).

About Cavium

Cavium is a leading provider of highly integrated semiconductor products that enable intelligent processing in enterprise, data center, cloud and wired and wireless service provider applications. Cavium offers a broad portfolio of integrated, software compatible processors ranging in performance from 100 Mbps to 100 Gbps that enable secure, intelligent functionality in enterprise, data-center, broadband/consumer and access & service provider equipment. Cavium’s processors are supported by ecosystem partners that provide operating systems, tool support, reference designs and other services. Cavium’s principal offices are in San Jose, California with design team locations in California, Massachusetts, India, and China. For more information, please visit: http://www.cavium.com


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!

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…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t 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 of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter 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 pressing needs and hurdles to widespread AI adoption. The sudde 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’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it 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…

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…

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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire