Supermicro Unveils DCBBS Blueprints for NVIDIA Vera Rubin and HGX Rubin Platforms
Super Micro Computer (NASDAQ: SMCI) announced in a press release the launch of its Data Center Building Block Solutions (DCBBS) blueprints, built on the NVIDIA Vera Rubin NVL72 and NVIDIA HGX Rubin NVL8 platforms. The designs are intended for the construction of AI data centers that can scale from 5 megawatts to 1 gigawatt.
Each DCBBS blueprint starts from a single scalable unit containing 1,152 GPUs, which can be multiplied to reach larger configurations. The company provides a complete solution that includes compute, storage, networking, liquid cooling, power distribution, and site infrastructure.
Supermicro stated that the DCBBS offering is supported by a dedicated team managing the full implementation cycle. The approach aims to reduce the time required to deploy large liquid cooled AI facilities.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from Data Centers
Oct 16 Gartner Says $3.5 Trillion in AI Infrastructure Spending Faces Impairment Risk by 2030 Oct 16 KBRA Rated Anthropic BB+ Before $35 Billion Chip Financing Oct 16 China Proposes Export Controls for Advanced AI Models and Chips Oct 16 Hitachi Energy and Ansaldo Energia Partner on Data Center Power Systems Oct 16 Clivet Unveils Magnetic Bearing Compressor for AI Data Center CoolingSilicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Supermicro Expands OCP Portfolio for AI Data Centers
Wistron and Wiwynn Show NVIDIA Rubin AI Systems at OCP Summit
Pegatron showcases NVIDIA Vera Rubin AI racks at OCP Summit
ASUS Unveils Vera CPU Server for AI Agent Workloads
LITEON Shows 800 VDC Power and Cooling Systems for NVIDIA Vera Rubin
Daily AI Brief: the AI news that matters, in your inbox.