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 industry updates delivered to you every week!

Quantum Watchers – Terrific Interview with Caltech’s John Preskill by CERN

July 17, 2024

In case you missed it, there's a fascinating interview with John Preskill, the prominent Caltech physicist and pioneering quantum computing researcher that was recently posted by CERN’s department of experimental physi Read more…

Aurora AI-Driven Atmosphere Model is 5,000x Faster Than Traditional Systems

July 16, 2024

While the onset of human-driven climate change brings with it many horrors, the increase in the frequency and strength of storms poses an enormous threat to communities across the globe. As climate change is warming ocea Read more…

Researchers Say Memory Bandwidth and NVLink Speeds in Hopper Not So Simple

July 15, 2024

Researchers measured the real-world bandwidth of Nvidia's Grace Hopper superchip, with the chip-to-chip interconnect results falling well short of theoretical claims. A paper published on July 10 by researchers in the U. Read more…

Belt-Tightening in Store for Most Federal FY25 Science Budets

July 15, 2024

If it’s summer, it’s federal budgeting time, not to mention an election year as well. There’s an excellent summary of the curent state of FY25 efforts reported in AIP’s policy FYI: Science Policy News. Belt-tight Read more…

Peter Shor Wins IEEE 2025 Shannon Award

July 15, 2024

Peter Shor, the MIT mathematician whose ‘Shor’s algorithm’ sent shivers of fear through the encryption community and helped galvanize ongoing efforts to build quantum computers, has been named the 2025 winner of th Read more…

Weekly Wire Roundup: July 8-July 12, 2024

July 12, 2024

HPC news can get pretty sleepy in June and July, but this week saw a bump in activity midweek as Americans realized they still had work to do after the previous holiday weekend. The world outside the United States also s Read more…

Aurora AI-Driven Atmosphere Model is 5,000x Faster Than Traditional Systems

July 16, 2024

While the onset of human-driven climate change brings with it many horrors, the increase in the frequency and strength of storms poses an enormous threat to com Read more…

Shutterstock 1886124835

Researchers Say Memory Bandwidth and NVLink Speeds in Hopper Not So Simple

July 15, 2024

Researchers measured the real-world bandwidth of Nvidia's Grace Hopper superchip, with the chip-to-chip interconnect results falling well short of theoretical c Read more…

Shutterstock 2203611339

NSF Issues Next Solicitation and More Detail on National Quantum Virtual Laboratory

July 10, 2024

After percolating for roughly a year, NSF has issued the next solicitation for the National Quantum Virtual Lab program — this one focused on design and imple Read more…

NCSA’s SEAS Team Keeps APACE of AlphaFold2

July 9, 2024

High-performance computing (HPC) can often be challenging for researchers to use because it requires expertise in working with large datasets, scaling the softw Read more…

Anders Jensen on Europe’s Plan for AI-optimized Supercomputers, Welcoming the UK, and More

July 8, 2024

The recent ISC24 conference in Hamburg showcased LUMI and other leadership-class supercomputers co-funded by the EuroHPC Joint Undertaking (JU), including three Read more…

Generative AI to Account for 1.5% of World’s Power Consumption by 2029

July 8, 2024

Generative AI will take on a larger chunk of the world's power consumption to keep up with the hefty hardware requirements to run applications. "AI chips repres Read more…

US Senators Propose $32 Billion in Annual AI Spending, but Critics Remain Unconvinced

July 5, 2024

Senate leader, Chuck Schumer, and three colleagues want the US government to spend at least $32 billion annually by 2026 for non-defense related AI systems.  T Read more…

Point and Click HPC: High-Performance Desktops

July 3, 2024

Recently, an interesting paper appeared on Arvix called Use Cases for High-Performance Research Desktops. To be clear, the term desktop in this context does not Read more…

Atos Outlines Plans to Get Acquired, and a Path Forward

May 21, 2024

Atos – via its subsidiary Eviden – is the second major supercomputer maker outside of HPE, while others have largely dropped out. The lack of integrators and Atos' financial turmoil have the HPC market worried. If Atos goes under, HPE will be the only major option for building large-scale systems. Read more…

Everyone Except Nvidia Forms Ultra Accelerator Link (UALink) Consortium

May 30, 2024

Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then 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_1687123447

Nvidia Economics: Make $5-$7 for Every $1 Spent on GPUs

June 30, 2024

Nvidia is saying that companies could make $5 to $7 for every $1 invested in GPUs over a four-year period. Customers are investing billions in new Nvidia hardwa Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

AMD Clears Up Messy GPU Roadmap, Upgrades Chips Annually

June 3, 2024

In the world of AI, there's a desperate search for an alternative to Nvidia's GPUs, and AMD is stepping up to the plate. AMD detailed its updated GPU roadmap, w Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

Intel’s Next-gen Falcon Shores Coming Out in Late 2025 

April 30, 2024

It's a long wait for customers hanging on for Intel's next-generation GPU, Falcon Shores, which will be released in late 2025.  "Then we have a rich, a very Read more…

Leading Solution Providers

Contributors

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's l 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…

IonQ Plots Path to Commercial (Quantum) Advantage

July 2, 2024

IonQ, the trapped ion quantum computing specialist, delivered a progress report last week firming up 2024/25 product goals and reviewing its technology roadmap. 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…

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…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh 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…

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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire