Products
In 1995, Supermicro released a dual-CPU motherboard for servers, becoming one of the first companies to do so. The motherboard was followed up by a four-CPU server board.[15]
In 2004, Supermicro began to develop energy-saving servers, which was partially influenced by Liang watching the movie The Day After Tomorrow with his family.[15]
In 2008, Supermicro was among ten computing companies brought on to the Hyperion project by the National Nuclear Security Administration's Lawrence Livermore National Laboratory. The companies helped to develop a testbed for high-performance computing technologies for the purpose of maintaining the U.S. nuclear weapons stockpile while avoiding underground nuclear testing, and improving the industry's ability to make petaFLOP/s (quadrillion floating operations per second) computing and storage more accessible.[26]
In 2012, Supermicro debuted its new 2U and 4U/Tower platforms.[27]
In 2016, Supermicro sent 30,000 MicroBlade servers to a Silicon Valley data center with a claimed power usage effectiveness (PUE) of 1.06.[28] While Supermicro did not name the customer, it was likely Intel, who opened a similar data center in November 2015 with a PUE of 1.06.[29]
In April 2020, Supermicro announced the H12 A+ Superblade, a blade server based on the 2nd gen Epyc 1P family of CPUs. It was the first blade server platform to implement AMD's Epyc processors.[30]
In April 2021, Supermicro introduced over 100 application-optimized server product SKUs using (new at the time) 3rd Gen Intel Xeon Scalable processors, including Hyper, SuperBlade, the Twin Product Family (BigTwin, TwinPro, and FatTwin), Ultra, CloudDC, GPU, Telco/5Gand Edge servers.[31]
In July 2024, VentureBeat reported that Supermicro would be providing half the servers for Elon Musk's artificial intelligence start-up, xAI, with Dell providing the other half.[32] The project was completed in 122 days according to the company, resulting in the creation of a 750,000 square foot Memphis-based data center to host Colossus, a supercomputer.[33] Supermicro also supplied servers for Tesla's Gigafactory Texas.[34]
In November 2025, Supermicro reported fiscal first-quarter 2026 results under expectations, stating that "design win upgrades" on server projects, where $1.5 billion in expected revenue shifted due to a high-volume customer requesting last minute updates, which extended integration, testing, and validation times for new GPU-based systems. From the last two years until then, Supermicro's revenue had grown from $7 billion to $22 billion.[35] Additionally, the company received $13 billion in orders on systems based on the Nvidia Blackwell Ultra-based GB300 architecture.[36] In the same month, Supermicro displayed new products at the 2025 Supercomputing Conference, including the Nvidia GB300 NVL72 rack, 8U and 6U SuperBlade multi-node systems, 2U FlexTwin, HGX B300 4U rack, GB200 NVL4 1U server, and GB300-based developer workstation. Updates to the modular and blade families such as BigTwin, MicroBlade, and MicroCloud were also shown at the conference.
In January 2026, Supermicro announced it had expanded manufacturing capacity surrounding it's liquid-cooling technology in support of Nvidia's Vera Rubin (including the Vera Rubin NVL72 SuperCluster and the HGX Rubin NVL8) and Rubin AI platforms. In addition to Supermicro's close ties to Nvidia, the company also has relationships with AMD, Broadcom, Intel, Samsung and Micron.[37]
Partnerships
In 2023, Supermicro partnered with Rakuten Symphony on high-performing Open RAN technologies and storage systems for operators of cloud-based mobile services.[38] Later in the year, Supermicro debuted servers with liquid cooling, focusing on ESG policies. The servers save approximately 40% of the power expended on air-cooled data centers.[39] In June 2023, Supermicro saw increased demand for its large language model optimized AI systems, featuring NVIDIA chips.[40]
In October 2024, Supermicro announced a partnership with Fujitsu, a Japanese IT services company, where the two companies will jointly develop energy-efficient servers and liquid-cooling systems for high-performance computing, generative artificial intelligence, and data centers.[41]