Supermicro Offers End-to-End Portfolio of NVIDIA GPU Systems

March 18, 2019

SAN JOSE, Calif.March 18, 2019 — Super Micro Computer, Inc. (SMCI), a global leader in enterprise computing, storage, networking solutions and green computing technology, is showcasing the industry’s most comprehensive portfolio of NVIDIA GPU servers at the GPU Technology Conference (GTC) 2019 at the San Jose Convention Center, Booth #829 from March 18-21.

Leveraging NVIDIA GPU technology with Supermicro’s system engineering expertise to design the most advanced server systems, Supermicro offers the industry a comprehensive portfolio of NVIDIA GPU systems. From NVIDIA Tesla, Quadro and GRID to the NVIDIA HGX-2 server architecture, Supermicro offers optimized SuperServers for the full range of market segments and applications, including VDI, professional visualization, transcoding, IoT, HPC, AI inferencing and deep learning.

“Our industry-leading portfolio of systems optimized for NVIDIA GPUs continues to grow stronger and stronger as Supermicro produces innovative GPU servers to address the accelerating market demand for a wide range of AI solutions,” said Charles Liang, president and CEO of Supermicro. “By optimizing our server designs to fully leverage NVIDIA’s latest Tensor Core GPUs, our GPU servers not only maximize system-level performance and efficiency but also offer the most flexible selection of features including the most advanced networking and storage options.”

“Enterprise customers will see a tremendous boost in performance and efficiency by leveraging NVIDIA’s Tensor Core GPUs housed in Supermicro’s GPU-optimized SuperServers,” said Ian Buck, vice president and general manager of Accelerated Computing at NVIDIA. “These servers deliver dramatically higher throughput for compute-intensive AI workloads while minimizing power consumption.”

AI Inferencing

To address the rapidly emerging high-throughput inference market driven by technologies such as 5G, Smart Cities and IoT devices that generate huge amounts of data and require real-time decision making, Supermicro’s new SuperServer 6049GP-TRT provides the superior performance required to vertically scale the technology of modern AI. To achieve maximum GPU density and performance, this 4U server supports up to 20 NVIDIA T4 Tensor Core GPUs, three terabytes of memory, and 24 hot-swappable 3.5″ drives. This system also features four 2000-watt Titanium level efficiency (2+2) redundant power supplies to help optimize the power efficiency, uptime and serviceability.

NVIDIA T4 is the world’s most efficient GPU for supercharging mainstream enterprise servers for a full range of accelerated applications, including AI training, inference and machine learning workloads. Enterprise customers will benefit from a dramatic boost in throughput, utilization and power efficiency from the NVIDIA T4 GPUs in Supermicro’s new high-density servers.

Supermicro has an entire family of 4U GPU systems that support the ultra-efficient NVIDIA T4, which is designed to accelerate deep learning training, inference and machine learning workloads in any mainstream server. The hardware-accelerated transcode engine in NVIDIA T4 delivers multiple HD video streams in real-time and allows integrating deep learning into the video transcoding pipeline to enable a new class of smart video applications. To achieve responsiveness, these models are deployed on powerful Supermicro servers with NVIDIA GPUs to deliver maximum throughput for inference workloads.

NGC-Ready Container Solutions

Supermicro’s SuperServer 4029GP-TVRT is NGC-Ready, which helps simplify the actual deployment of AI and HPC applications in the data center. Customers can now run GPU-accelerated software from the NGC container registry, including its expanded HPC and AI software library with new machine learning and analytics containers, with confidence on the 4029GP-TVRT, which is a 4U system with eight NVIDIA V100 Tensor Core GPUs with NVIDIA NVLink high-speed interconnect technology.

AI Training and HPC

HPC applications are continuing to grow in complexity as they unlock new scientific insights. Supermicro’s new NVIDIA HGX-2 based SuperServer, 9029GP-TNVRT, supports 16 NVIDIA V100 Tensor Core 32GB GPUs connected via NVIDIA NVLink and NVSwitch to leverage over 80,000 CUDA cores and deliver unmatched performance for accelerating AI and HPC on premises and in the cloud. This new system can deliver up to 2 PetaFLOPS of performance and occupies just ten units of rack space.

From natural speech by computers to autonomous vehicles, rapid progress in AI has transformed entire industries. To enable these capabilities, AI models are exploding in size. HPC applications are similarly growing in complexity as they unlock new scientific insights. Supermicro’s HGX-2 based SuperServer (SYS-9029GP-TNVRT) will provide a superset design for datacenters accelerating AI and HPC in the cloud. With fine-tuned optimizations, this SuperServer will deliver the highest compute performance and memory for rapid model training.

Data Center Gaming Applications

Supermicro’s new SBI-4119MG-X SuperBlade server modules optimized for NVIDIA GPUs are ideal for data center deployments where total cost of ownership (TCO) is a top priority. This blade solution is suitable for a wide range of data center applications including gaming, and one 8U SuperBlade enclosure supports twenty of these blades and up to 40 GPUs.

For comprehensive information on Supermicro product lines featuring NVIDIA GPUs, please go to https://www.supermicro.com/products/nfo/gpu.cfm.

About Super Micro Computer, Inc. (SMCI)

Supermicro, a 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!

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing 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 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…

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…

HPCwire