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Supermicro Introduces New Versatile System Design for AI at Edge

New 3U Server Supports Up to 18 GPUs and Features Dual Intel® Xeon® 6900 Series Processors with P-Cores

Supermicro Computer, Inc. (SMCI), a total IT solution provider for Artificial Intelligence (AI), cloud, storage, and 5G/Edge, has announced the launch of a new, versatile, high-density infrastructure platform optimised for AI inferencing at the network edge.

As companies seek to embrace complex large language models (LLM) in their daily operations, there is a need for new hardware capable of inferencing high volumes of data in edge locations with minimal latency. Supermicro’s innovative system combines versatility, performance, and thermal efficiency to deliver up to 10 double-width GPUs in a single system capable of running in traditional air-cooled environments.

“Owing to the system’s optimised thermal design, Supermicro can deliver all this performance in a high-density 3U 20 PCIe system with 256 cores that can be deployed in edge data centres,” said Charles Liang, President and CEO at Supermicro. “As the AI market is growing exponentially, customers need a powerful, versatile solution to inference data to run LLM-based applications on-premises, close to where the data is generated. Our new 3U Edge AI system enables them to run innovative solutions with minimal latency.”

The new SYS-322GB-NR includes two powerful Intel® Xeon® 6900 processors with P-cores, 8800 MT/s MRDIMM and up to 20 PCIe 5.0 expansion slots. This Supermicro system supports a variety of single or double-width GPUs, or to use some of the expansion slots for high-performance I/O or other add-on cards. Additionally, the server features up to 6TB of RDIMM memory and up to 14 E1.S or 6 U.2 NVMe drives.

One example use case that this system delivers is in the manufacturing industry, where Supermicro’s new system can be deployed on-site at an automated production environment to process data feeds from cameras and sensors without having to transfer the data to a remote location. This capability reduces networking requirements and improves response times. Another environment where the SYS-322GB-NR will excel is large-scale control rooms, where the AI accelerator cards can be partially replaced by multi-display cards to support up to 64 independent displays.

Supermicro at Mobile World Congress (MWC) Las Vegas

The SYS-322GB-NR is on display at Supermicro’s booth #518 at the MWC Las Vegas. Additionally, Supermicro is displaying systems that incorporate NVIDIA, AMD, and Intel Xeon 6 processors, including X14 family edge and telco systems such as:

  • SYS-222HE-FTN. The Hyper-E brings data centre performance to the telco edge with a dual Intel Xeon 6 processor in a 2U, short-depth form factor with front I/O access.
  • SYS-212B-FN2T. A 2U short-depth system for AI in telco and edge deployments, featuring a single Intel Xeon 6700 series processor with E-cores and GPU support.
  • SYS-E403-14B-FRN2T. A box PC sized, wall-mountable edge device capable of bringing the Intel Xeon 6700 series processor with E-cores and GPU support to remote environments.
  • AS -1115S-FDWTRT. A 1U NEBS compliant system providing Telco performance for ORAN, Core and managed services. This system utilises the AMD EPYC 8004 Series processor and support of up to 1 single-width GPU accelerator for heavy workloads.

Demonstrating Other Key Solutions

In addition to showcasing Supermicro hardware systems, in partnership with NVIDIA, Supermicro will jointly demonstrate inferencing and AI solutions for on-premise and Edge applications including Enterprise AI, Retail, Telco Edge and Financial Services. It will demonstrate key generative AI solutions that include NVIDIA NIM, NVIDIA NeMo, NVIDIA Metropolis, remote management, security, and networking. For Telecom, Supermicro and NVIDIA will be demonstrating a live AI RAN solution using NVIDIA and Supermicro solutions showcasing performance, management and AI use cases.

Also, on display at MWC Las Vegas is the new a joint solution from Supermicro and Intel, which combines the ruggedised IP65 Outdoor Edge system with a built-in AI Network Accelerator and Intel® Data Centre GPU Flex 170. This solution enables fast and cost-effective deployment of multiple private 5G networks as well as Edge AI applications in a single device. The networks can be used and exploited by different users, offering a scalable solution for dense environments such as industrial and campus sites, venues, and smart cities.

For more information, please visit https://www.supermicro.com/en/solutions/edge-ai.

DSA Editorial

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