Supermicro Debuts SuperServer Optimized for NVIDIA Tesla K40 GPU

November 18, 2013

SAN JOSE, Calif., Nov. 18 — Super Micro Computer, Inc., a global leader in high-performance, high-efficiency server, storage technology and green computing, exhibits its latest high-performance computing (HPC) solutions at the Supercomputing 2013 (SC13) conference this week in Denver, Colorado. In sync with the launch of the NVIDIA Tesla K40 GPU accelerator, Supermicro debuts new 4U 8x GPU SuperServer that supports the new and existing active or passive GPUs (up to 300W) with an advanced cooling architecture that splits the CPU (up to 150W x2) and GPU (up to 300W x8) cooling zones on separate levels for maximum performance and reliability. In addition, Supermicro has 1U, 2U, 3U SuperServers, FatTwin, SuperWorkstations and SuperBlade platforms ready to support the new K40 GPU accelerator. These high performance, high density servers support up to twenty GPU accelerators per system and in scaled out Super Clusters provide massive parallel processing power to accelerate the most demanding compute intensive applications. Supermicro’s new platforms extend the industry’s most comprehensive line of servers, storage, networking and server management solutions optimized for Engineering and Scientific Research, Modeling, Simulation and HPC supercomputing applications.

“Supermicro’s HPC servers and solutions deliver the performance, scalability and reliability needed to answer the most complex challenges of our time,” said Charles Liang, President and CEO of Supermicro. “Our extensive supercomputing solutions range from 5x GPU workstations to 6x GPUs in 1U/2U, 8x GPUs in 4U and 30x GPUs in 7U blade severs. Our GPU platforms are unrivaled in the industry and provide exactly the best configurations optimized for any scientific, engineering or big data analytics application. With the addition of a new 4U single node, 8x GPU server and a new 2U TwinPro platform, the HPC community can build even higher density compute clusters to deliver maximum parallel computing performance per watt, per dollar, per square foot.”

“The Tesla K40 GPU accelerator provides double the memory and 10 times higher performance than today’s fastest CPUs, enabling enterprise data center and HPC customers to solve their most complex engineering and big data analytics computing challenges,” said Sumit Gupta, general manager of Tesla Accelerated Computing Products at NVIDIA. “When combined with Supermicro’s high-density, scalable systems, the new Kepler-based accelerators deliver high performance computational horsepower with maximum energy efficiency.”

Supermicro’s new GPU accelerator-optimized server solutions on exhibit this week at SC13 include:

· NEW 4U 8x GPU SuperServer (SYS-4027GR-TR) – Ultra-high GPU density with massive parallel processing power in 4U form factor. System supports 8x NVIDIA Tesla K40, K20, K20X or K10 active or passive GPU accelerators (up to 300W) + additional full-height, full-length 2x PCI-E 3.0 x8 and 1x PCI-E 2.0 x4 slots, dual Intel Xeon E5-2600 v2 “Ivy Bridge” processors (up to 150W), 24x Reg. ECC DDR3 1600MHz DIMM support (up to 768GB), 2x 10GbaseT or GbE ports with 1x dedicated IPMI 2.0 port and 24x 2.5” hot-swap SAS/SATA/SSD bays. The 30” depth chassis features redundant Platinum Level high-efficiency 1600W power supplies (up to 4) and an advanced thermal cooling architecture with two rows of mid-chassis fans and separate CPU/GPU cooling zones.

· NEW 2U TwinPro (SYS-2027PR-DTR) / TwinPro² (SYS-2027PR-HTR) – Supermicro takes its 2U Twin architecture to the next level of performance, flexibility and expandability with the high efficiency 2-node TwinPro and high density 4-node TwinPro². Each node supports dual Intel Xeon E5-2600 v2 processors and the 2-node 2U TwinPro accommodates a NVIDIA Tesla GPU accelerator with support for two additional add on cards per node. The systems feature greater memory capacity up to 16x DIMMs, 12Gb/s SAS 3.0 support, NVMe optimized PCI-E SSD interface, additional PCI-E expansion slots, 10GbE and onboard QDR/FDR InfiniBand for maximized I/O.

· 1U SuperServer (SYS-1027GR-TRT2) – supports 3x GPUs, dual Intel Xeon E5-2600 series processors (up to 130W TDP), up to 512GB memory in 16x DIMM slots and 4x hot-swap 2.5” SATA3 HDD bays. Features 1600W redundant Platinum Level high-efficiency (94%+) power supplies and smart server management tools.

· 1U SuperServer (SYS-1027GR-TQFT) – supports 4x GPUs, dual Intel Xeon E5-2600 series processors (up to 115W TDP), up to 256GB memory and 4x hot-swap 2.5” SATA3 HDD bays. Features 1800W Platinum Level high-efficiency (94%+) power supplies and smart server management tools.

· 2U SuperServer (SYS-2027GR-TRFH) – supports 6x GPUs, dual Intel Xeon E5-2600 series processors (up to 130W TDP), up to 256GB memory and 10x hot-swap 2.5” SATA HDD bays. Features redundant 1800W Platinum Level high-efficiency (94%+) power supply and smart server management tools.

· 3U SuperServer® (SYS-6037R-72RFT+) – supports 2x GPUs (passive cooling with optional GPU fan kit installed), dual Intel Xeon E5-2600 v2 series processors (up to 135W TDP), up to 1.5TB memory and 8x hot-swap 3.5” SAS2 HDD bays. Features redundant 1280W Platinum Level high-efficiency (94%) digital switching power supplies.

· 4U FatTwin™ (SYS-F627G3-FT+ / G2-FT+) – 4x hot-plug nodes supporting 12x GPUs (3x per node) and dual Intel Xeon E5-2600 series processors (up to 130W TDP) per node. Available with front I/O and 2x 3.5” or 6x 2.5” hot-swap HDD bays. Features redundant 1620W Platinum Level high-efficiency (94%+) power supplies.

· 4U/Tower SuperWorkstation (SYS-7047GR-TRF / -TPRF) – Ultimate performance (NVIDIA Maximus Technology Certified) and expandability with support for up to 5x GPUs, dual Intel Xeon E5-2600 series processors, up to 512GB memory and 8x hot-swap 3.5” HDD bays. Tower/4U rackable chassis features redundant 1620W Platinum Level high-efficiency (94%) power supplies.

· SuperBlade Solutions – The all-in-one 7U SuperBlade features redundant Platinum Level high-efficiency (94%+) power supplies, high speed connectivity through network switch modules, including 56Gb/s FDR IB (SBM-IBS-F3616M), FC/FCoE (SBM-XEM-F8X4SM), 10GbE (SBM-XEM-X10SM) and 1/10GbE (SBM-GEM-X3S+) and centralized remote management software.

· 3x GPU SuperBlade (SBI-7127RG3) – Supports 3x NVIDIA Tesla K20X GPUs in the SXM form factor, dual Intel Xeon E5-2600 series processors, up to 256GB memory and onboard BMC for IPMI 2.0 support. 10x blades in 7U SuperBlade enclosure scales to best density (180x GPUs and 120x CPUs) and performance (256 TFLOPS theoretical) per 42U rack.

· 2x GPU SuperBlade (SBI-7127RG-E) – Supports 2x GPUs, dual Intel Xeon E5-2600 series processors, up to 256GB memory, 1x SSD or 1x SATA-DOM, and onboard BMC for IPMI 2.0 support. 10x blades in 7U SuperBlade enclosure offers high density (120x GPUs and 120x CPUs) and performance (178 TFLOPS theoretical) per 42U rack.

Experience Supermicro’s latest High Performance Computing solutions this week at Supercomputing 2013 in Denver, Colorado in booth #3132 at the Colorado Convention Center, November 18th – 22nd. Supermicro server solutions optimized for NVIDIA Tesla K40 GPU accelerators are also on exhibit at NVIDIA’s SC13 booth #613. For information on Supermicro’s complete line of GPU enabled supercomputing platforms visit www.supermicro.com/GPU.

For complete information on SuperServer solutions from Supermicro visit www.supermicro.com.

About Super Micro Computer Inc.

Supermicro (NASDAQ: SMCI), the leading innovator in high-performance, high-efficiency server technology is a premier provider of advanced server Building Block Solutions® for Data Center, Cloud Computing, Enterprise IT, Hadoop/Big Data, HPC and Embedded Systems worldwide. Supermicro is committed to protecting the environment through its “We Keep IT Green®” initiative and provides customers with the most energy-efficient, environmentally-friendly solutions available on the market.

—–

Source: Super Micro Computer Inc.

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!

AI in the News: Rao in at Intel, Ng out at Baidu, Nvidia on at Tencent Cloud

March 26, 2017

Just as AI has become the leitmotif of the advanced scale computing market, infusing much of the conversation about HPC in commercial and industrial spheres, it also is impacting high-level management changes in the industry. Read more…

By Doug Black

Scalable Informatics Ceases Operations

March 23, 2017

On the same day we reported on the uncertain future for HPC compiler company PathScale, we are sad to learn that another HPC vendor, Scalable Informatics, is closing its doors. Read more…

By Tiffany Trader

‘Strategies in Biomedical Data Science’ Advances IT-Research Synergies

March 23, 2017

“Strategies in Biomedical Data Science: Driving Force for Innovation” by Jay A. Etchings is both an introductory text and a field guide for anyone working with biomedical data. Read more…

By Tiffany Trader

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its assets. Read more…

By Tiffany Trader

HPE Extreme Performance Solutions

HFT Firms Turn to Co-Location to Gain Competitive Advantage

High-frequency trading (HFT) is a high-speed, high-stakes world where every millisecond matters. Finding ways to execute trades faster than the competition translates directly to greater revenue for firms, brokerages, and exchanges. Read more…

Google Launches New Machine Learning Journal

March 22, 2017

On Monday, Google announced plans to launch a new peer review journal and “ecosystem” Read more…

By John Russell

Swiss Researchers Peer Inside Chips with Improved X-Ray Imaging

March 22, 2017

Peering inside semiconductor chips using x-ray imaging isn’t new, but the technique hasn’t been especially good or easy to accomplish. Read more…

By John Russell

LANL Simulation Shows Massive Black Holes Break ‘Speed Limit’

March 21, 2017

A new computer simulation based on codes developed at Los Alamos National Laboratory (LANL) is shedding light on how supermassive black holes could have formed in the early universe contrary to most prior models which impose a limit on how fast these massive ‘objects’ can form. Read more…

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Read more…

By John Russell

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its assets. Read more…

By Tiffany Trader

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Read more…

By John Russell

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the campaign. Read more…

By John Russell

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

In this contributed perspective piece, Intel’s Jim Jeffers makes the case that CPU-based visualization is now widely adopted and as such is no longer a contrarian view, but is rather an exascale requirement. Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

US Supercomputing Leaders Tackle the China Question

March 15, 2017

Joint DOE-NSA report responds to the increased global pressures impacting the competitiveness of U.S. supercomputing. Read more…

By Tiffany Trader

New Japanese Supercomputing Project Targets Exascale

March 14, 2017

Another Japanese supercomputing project was revealed this week, this one from emerging supercomputer maker, ExaScaler Inc., and Keio University. The partners are working on an original supercomputer design with exascale aspirations. Read more…

By Tiffany Trader

Nvidia Debuts HGX-1 for Cloud; Announces Fujitsu AI Deal

March 9, 2017

On Monday Nvidia announced a major deal with Fujitsu to help build an AI supercomputer for RIKEN using 24 DGX-1 servers. Read more…

By John Russell

HPC4Mfg Advances State-of-the-Art for American Manufacturing

March 9, 2017

Last Friday (March 3, 2017), the High Performance Computing for Manufacturing (HPC4Mfg) program held an industry engagement day workshop in San Diego, bringing together members of the US manufacturing community, national laboratories and universities to discuss the role of high-performance computing as an innovation engine for American manufacturing. Read more…

By Tiffany Trader

For IBM/OpenPOWER: Success in 2017 = (Volume) Sales

January 11, 2017

To a large degree IBM and the OpenPOWER Foundation have done what they said they would – assembling a substantial and growing ecosystem and bringing Power-based products to market, all in about three years. Read more…

By John Russell

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…

By Tiffany Trader

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which will be Japan’s “fastest AI supercomputer,” Read more…

By Tiffany Trader

IBM Wants to be “Red Hat” of Deep Learning

January 26, 2017

IBM today announced the addition of TensorFlow and Chainer deep learning frameworks to its PowerAI suite of deep learning tools, which already includes popular offerings such as Caffe, Theano, and Torch. Read more…

By John Russell

Lighting up Aurora: Behind the Scenes at the Creation of the DOE’s Upcoming 200 Petaflops Supercomputer

December 1, 2016

In April 2015, U.S. Department of Energy Undersecretary Franklin Orr announced that Intel would be the prime contractor for Aurora: Read more…

By Jan Rowell

Is Liquid Cooling Ready to Go Mainstream?

February 13, 2017

Lost in the frenzy of SC16 was a substantial rise in the number of vendors showing server oriented liquid cooling technologies. Three decades ago liquid cooling was pretty much the exclusive realm of the Cray-2 and IBM mainframe class products. That’s changing. We are now seeing an emergence of x86 class server products with exotic plumbing technology ranging from Direct-to-Chip to servers and storage completely immersed in a dielectric fluid. Read more…

By Steve Campbell

Enlisting Deep Learning in the War on Cancer

December 7, 2016

Sometime in Q2 2017 the first ‘results’ of the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) will become publicly available according to Rick Stevens. He leads one of three JDACS4C pilot projects pressing deep learning (DL) into service in the War on Cancer. Read more…

By John Russell

BioTeam’s Berman Charts 2017 HPC Trends in Life Sciences

January 4, 2017

Twenty years ago high performance computing was nearly absent from life sciences. Today it’s used throughout life sciences and biomedical research. Genomics and the data deluge from modern lab instruments are the main drivers, but so is the longer-term desire to perform predictive simulation in support of Precision Medicine (PM). There’s even a specialized life sciences supercomputer, ‘Anton’ from D.E. Shaw Research, and the Pittsburgh Supercomputing Center is standing up its second Anton 2 and actively soliciting project proposals. There’s a lot going on. Read more…

By John Russell

Leading Solution Providers

HPC Startup Advances Auto-Parallelization’s Promise

January 23, 2017

The shift from single core to multicore hardware has made finding parallelism in codes more important than ever, but that hasn’t made the task of parallel programming any easier. Read more…

By Tiffany Trader

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu’s Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural network training and now they are sharing their implementation with the larger deep learning community. Read more…

By Tiffany Trader

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the campaign. Read more…

By John Russell

CPU Benchmarking: Haswell Versus POWER8

June 2, 2015

With OpenPOWER activity ramping up and IBM’s prominent role in the upcoming DOE machines Summit and Sierra, it’s a good time to look at how the IBM POWER CPU stacks up against the x86 Xeon Haswell CPU from Intel. Read more…

By Tiffany Trader

IDG to Be Bought by Chinese Investors; IDC to Spin Out HPC Group

January 19, 2017

US-based publishing and investment firm International Data Group, Inc. (IDG) will be acquired by a pair of Chinese investors, China Oceanwide Holdings Group Co., Ltd. Read more…

By Tiffany Trader

US Supercomputing Leaders Tackle the China Question

March 15, 2017

Joint DOE-NSA report responds to the increased global pressures impacting the competitiveness of U.S. supercomputing. Read more…

By Tiffany Trader

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Read more…

By John Russell

Intel and Trump Announce $7B for Fab 42 Targeting 7nm

February 8, 2017

In what may be an attempt by President Trump to reset his turbulent relationship with the high tech industry, he and Intel CEO Brian Krzanich today announced plans to invest more than $7 billion to complete Fab 42. Read more…

By John Russell

  • arrow
  • Click Here for More Headlines
  • arrow
Share This