Supermicro Features New Servers and Storage Systems at COMPUTEX 2023

May 29, 2023

SAN JOSE, Calif. and TAIPEI, Taiwan, May 29, 2023 — Super Micro Computer, Inc., a Total IT Solution Provider for Cloud, AI/ML, Storage, and 5G/Edge, continues to innovate with a broad range of servers to meet IT requirements for modern workloads. Supermicro’s Building Block Server methodology enables a first-to-market delivery with the latest technology from Intel, AMD, and NVIDIA. Purpose built servers deliver exceptional performance for a wide range of AI, Cloud, and 5G workloads, from the data center to the edge.

“As we expand our production capacity to meet the rapidly growing demand of high-performance large-scale AI infrastructure and cloud data centers, Supermicro delivers the industry’s most innovative and advanced systems integrated as a turn-key total rack solution,” said Charles Liang, president and CEO of Supermicro. “From the most powerful AI systems available, with up to eight NVIDIA H100 HGX GPUs to compact edge servers that must perform in challenging environmental conditions we provide the broadest portfolio of solutions for today’s most demanding workloads, including new liquid cooling solutions that reduce data center power consumption and increase performance.”

At the COMPUTEX 2023 event, Supermicro will be showcasing a wide range of servers and storage solutions and demonstrate the fully integrated rack with the newest liquid cooling technologies that enable unprecedented energy efficiency and fast deployment.

The highlights of the Supermicro lineup at COMPUTEX 2023 include the following:

  • Rack Scale Liquid Cooling– Supermicro’s full rack liquid cooling solution enables organizations to run the highest performing GPU servers and maintain the optimal operating conditions. Supermicro supplies, integrates, and tests complete rack level liquid cooling solutions, including CDUs with redundant power and pumps, Cooling Distribution Manifolds (CDM), leakproof connectors, and optimized hoses. In addition, a Supermicro designed highly efficient cold plate enhances heat removal from both CPUs and GPUs.
  • GPU-Optimized Systems– Servers with 8 or 4 NVIDIA HGX H100 Tensor Core GPUs and dual 4th Gen Intel Xeon Scalable processors or dual 4th Gen AMD EPYC processors. The X13 and H13 GPU systems are open, modular, standards-based servers that provide superior performance and serviceability with a hot-swappable, toolless design. GPU options include the latest PCIe, OAM, and NVIDIA SXM technology. These GPU servers are ideal for workloads with the most demanding AI training performance, HPC, and Big Data Analytics. The new Intel GPU Max series and a new server using the NVIDIA Grace Superchip are also available.
  • SuperBlade – Supermicro’s high-performance, density-optimized, and energy-efficient X13 SuperBlade, built with 4th Gen Intel Xeon Scalable processors, can significantly reduce initial capital and operational expenses for many organizations. SuperBlade utilizes shared, redundant components, including cooling, networking, power, and chassis management, to deliver the compute performance of an entire server rack in a much smaller physical footprint. These systems support GPU-enabled blades and are optimized for AI, Data Analytics, HPC, Cloud, and Enterprise workloads. Compared to industry-standard servers, a cable reduction of up to 95% reduces costs and can lower power usage.
  • Hyper– With dual 4th Gen Intel Xeon Scalable processors or dual 4th Gen AMD EPYC processors – The X13 and H13 Hyper series brings next-generation performance to Supermicro’s range of rackmount servers, built to take on the most demanding workloads along with the storage & I/O flexibility that provides a custom fit for a wide range of application needs.
  • BigTwin (2U4N) – The X13 BigTwin with dual 4th Gen Intel Xeon Scalable processors per node to provide superior density, performance, and serviceability with hot-swappable components in a toolless design. These systems are ideal for cloud, storage, and media workloads.
  • CloudDC– With 4th Gen Intel Xeon Scalable processors or 4th Gen AMD EPYC processors – Ultimate flexibility on I/O and storage with 2 or 6 PCIe 5.0 slots and dual AIOM slots (PCIe 5.0; OCP 3.0 compliant) for maximum data throughput. Supermicro X13 and H13 CloudDC systems are designed for convenient serviceability with toolless brackets, hot-swap drive trays, and redundant power supplies that ensure rapid deployment and more efficient maintenance in data centers.
  • GrandTwin – Using with 4th Gen Intel Xeon Scalable processor or 4th Gen AMD EPYC processor – The X13 and H13 GrandTwin is purpose-built for single-processor performance. The design maximizes computing performance, memory, and efficiency to deliver maximum density. GrandTwin’s flexible modular design can be easily adapted for a wide range of applications, with the ability to add or remove components as required, reducing cost. In addition, the Supermicro GrandTwin features front (cold aisle) hot-swappable nodes, which can be configured with either front or rear I/O for easier serviceability. As a result, the X13 and H13 GrandTwin are ideal for workloads such as CDN, Multi-Access Edge Computing, Cloud Gaming, and High-Availability Cache Clusters.
  • SuperEdge– Using the 4th Gen Intel Xeon Scalable processor Supermicro’s X13 SuperEdge is designed to handle increasing compute and I/O density requirements of modern edge applications. With three customizable single-processor nodes, SuperEdge delivers high-class performance in a 2U, short-depth form factor. Each node is hot-swappable and offers front access I/O, making the system ideal for remote IoT, Edge, or Telco deployments. Additionally, with flexible Ethernet or Fiber connectivity options to the BMC, Super Edge makes it easy for customers to choose remote management connections per their deployment environments.
  • Petascale Storage – The All-Flash NVMe systems powered by a 4th Gen Intel Xeon Scalable processor or a 4th Gen AMD EPYC processor offer industry-leading storage density and performance with EDSFF drives, allowing unprecedented capacity and performance in a single 1U chassis. The first in a coming lineup of X13 and H13 storage systems, these latest petascale servers support 9.5mm and 15mm E1.S or 7.5mm E3.S EDSFF (EYPC only) media designed with PCIe 5.0 interface. They are now shipping from all the industry-leading flash vendors.
  • Liquid Cooled-AI Development Platform– The deskside liquid-cooled AI development platform addresses the thermal design power needs of the four NVIDIA A100 Tensor Core GPUs and the two 4th Gen Intel Xeon Scalable CPUs to enable full performance while improving the overall system’s efficiency and enabling quiet (approximately 30dB) operation in an office environment. In addition, this system is designed to accommodate high-performing CPUs and GPUs, making it ideal for AI/DL/ML and HPC applications.

To learn more about Supermicro and talk to product experts at Computex Taipei 2023, visit: www.supermicro.com/computex.

Product images. Source: Supermicro.

To learn more about Supermicro’s wide range of products, visit: www.supermicro.com

 

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…

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…

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…

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