Supermicro Systems with the NVIDIA B200 Outperform the Previous Generation of Systems with 3X the Token Generation Per Second

SAN JOSE, Calif., April 3, 2025 /PRNewswire/ -- Super Micro Computer, Inc. (SMCI), a Total IT Solution Provider for AI/ML, HPC, Cloud, Storage, and 5G/Edge

SAN JOSE, Calif., April 3, 2025 /PRNewswire/ -- Super Micro Computer, Inc. (NASDAQ: SMCI), a leading provider of advanced technology enterprise computing, storage, networking solutions, and a Total IT Solution Provider for Artificial Intelligence (AI) and Machine Learning (ML), today announced first-to-market industry leading performance on several MLPerf Inference v5.0 benchmarks, using the NVIDIA HGX B200 8-GPU. The 4U liquid-cooled and 10U air-cooled systems achieved the best performance in select benchmarks. Supermicro demonstrated more than 3 times the tokens per second (Token/s) generation for Llama2-70B and Llama3.1-405B benchmarks compared to H200 8-GPU systems.

"Supermicro remains a leader in the AI industry, as evidenced by the first new benchmarks released by MLCommons in 2025," said Charles Liang, president and CEO, Supermicro. "Our building block architecture enables us to be first-to-market with a diverse range of systems optimized for various workloads. We continue to closely collaborate with NVIDIA to fine-tune our systems and secure a leadership position in AI workloads."

Learn more about the new MLPerf v5.0 Inference benchmarks at: https://mlcommons.org/benchmarks/inference-datacenter/

Supermicro is the only system vendor publishing record MLPerf inference performance (on select benchmarks) for both the air-cooled and liquid-cooled NVIDIA HGX B200 8-GPU systems. Both air-cooled and liquid-cooled systems were operational before the MLCommons benchmark start date. Supermicro engineers optimized the systems and software to showcase the impressive performance. Within the operating margin, the Supermicro air-cooled B200 system exhibited the same level of performance as the liquid-cooled B200 system. Supermicro has been delivering these systems to customers while we conducted the benchmarks.

MLCommons emphasizes that all results be reproducible, that the products are available and that the results can be audited by other MLCommons members. Supermicro engineers optimized the systems and software, as allowed by the MLCommons rules.

The SYS-421GE-NBRT-LCC (8x NVIDIA B200-SXM-180GB) and SYS-A21GE-NBRT (8x NVIDIA B200-SXM-180GB) showed performance leadership running the Mixtral 8x7B Inference, Mixture of Experts benchmarks with 129,000 tokens/second. The Supermicro air-cooled and liquid-cooled NVIDIA B200 based system delivered over 1,000 tokens/second inference for the large Llama3.1-405b model, whereas the previous generations of GPU systems have much smaller results. For smaller inferencing tasks, using the LLAMA2-70b benchmark, a Supermicro system with the NVIDIA B200 SXM-180GB installed shows the highest performance from a Tier 1 system supplier.

Specifically:

* The Supermicro liquid-cooled system SYS-421GE-NBRT-LCC (8x NVIDIA B200-SXM-180GB) achieved the best performance in select benchmarks.

* The Supermicro air-cooled system SYS-A21GE-NBRT (8x NVIDIA B200-SXM-180GB) also achieved the best performance in select benchmarks.

* Both systems achieved the best performance in the Mixtral 8x7B Inference, Mixture of Experts benchmarks with 129,000 tokens/second.

* The Supermicro air-cooled and liquid-cooled NVIDIA B200 based system delivered over 1,000 tokens/second inference for the large Llama3.1-405b model.

* For smaller inferencing tasks, using the LLAMA2-70b benchmark, a Supermicro system with the NVIDIA B200 SXM-180GB installed shows the highest performance from a Tier 1 system supplier.

"We at MLCommons are pleased to see results from members demonstrating significant performance gains compared to earlier generations of systems,” said David Kanter, Head of MLPerf at MLCommons. “Customers will be pleased by the performance improvements achieved which are validated by the neutral, representative and reproducible MLPerf results. We encourage members to continue pushing the boundaries of deep learning technology and we look forward to seeing the results of future generations of hardware and software.”

Supermicro offers a comprehensive AI portfolio with over 100 GPU-optimized systems, both air-cooled and liquid-cooled options, with a choice of CPUs, ranging from single-socket optimized systems to 8-way multiprocessor systems. Supermicro rack-scale systems include computing