Faced with 5G open architecture, Supermicro has a variety of product lines to meet market needs
5G 行動通訊來臨,在整個基礎建設當中不像過往只能依靠專屬設備,營運商可以採用標準伺服器與網路設備來提供服務,Supermicro已推出多款產品可應用於 5G 設備中。
5G 行動通訊來臨,在整個基礎建設當中不像過往只能依靠專屬設備,營運商可以採用標準伺服器與網路設備來提供服務,Supermicro已推出多款產品可應用於 5G 設備中。
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As the number of Internet-connected devices increases exponentially, local Edge processing is becoming critical to managing the vast amounts of data being generated and supporting innovative, targeted applications. Supermicro is leveraging advanced product design to provide flexible low-power, ultra-reliable computing, and partnering with forward-thinking software platform partners to build complete solutions for an array of significant vertical markets.
Hyperconverged infrastructure (HCI) allows for the deployment of flexible virtual cloud solutions for enterprises of any size. This session will include presentations of Supermicro's optimized servers and Intel® Optane™ SSD technology that power advanced HCI implementations. Intel and Supermicro will also discuss how HCI software architectures and rack-level solutions leverage the capabilities of their hardware.
[데이터넷] 슈퍼마이크로는 AI 스타트업 프레퍼드 네트워크(Preferred Networks, 이하 PFN)와 협업해 개발한 ‘MN-3’가 슈퍼컴퓨터 전력 효율 기준인 그린500(Green500)의 반기별 산업 평가에서 1위를 차지했다고 2일 밝혔다.
This video segment dives into how Supermicro’s 5G Core Reference Architecture topped the charts for Enhanced Mobile Broadband (eMBB) User Plane Throughput per 1RU. In partnership with Intel, Supermicro was able to optimize CPU utilization and set record breaking 5G performance, while improving efficiency and predictability with lower latency and jitter.
In June, HPCwire highlighted the new MN-3 supercomputer: a 1.6 Linpack petaflops system delivering 21.1 gigaflops per watt of power, making it the most energy-efficient supercomputer in the world – at least, according to the latest Green500 list, the Top500’s energy-conscious cousin.
Supermicro und Preferred Networks arbeiten gemeinsam an der Entwicklung des effizientesten Supercomputers der Welt. Der Deep Learning Supercomputer „MN-Core“ stellt mit 21,11 Gigaflops Rechenoperationen pro Watt (Performance-Per-Watt) - gemessen an einem Standard für den echten Betrieb wissenschaftlicher Anwendungen – einen Rekord auf.