Advanced Computing in the Age of AI | Thursday, March 28, 2024

3M, SGI, and Intel Showcase Advanced Cooling Technology 

Today, 3M is announcing the implementation of a fully functional supercomputer developed in collaboration with Intel and SGI that uses a revolutionary two-phase immersion cooling technology pioneered by 3M.

In this proof-of-concept, SGI ICE X, the fifth generation of the world’s fastest distributed memory supercomputer and the Intel Xeon processor E5-2600 hardware are placed directly into 3M Novec Engineered Fluid. The 3M Novec fluid is an efficient dielectric that keeps the hardware cooled with minimum additional energy, maximum performance and better reliability. 3M’s two-phase immersion cooling technology can reduce cooling energy costs by 95 percent and reduces water consumption by eliminating municipal water usage for evaporative cooling. Heat can also be harvested from the system and reused for heating and other process technologies such as desalination of sea water.

This technique has been shown to require 10 times less space than conventional air cooling and eliminates costly air cooling infrastructure and equipment associated with conventional liquid cooling, making it cost effective for large-scale data center hubs. It enables much tighter component packaging – allowing for greater computing power in less space – and easy access to hardware with no residue. In fact, the system can enable up to 100 kilowatts of computing power per square meter.

This innovative technology leads to a smaller environmental footprint with optimal computing power – important factors as the world approaches Earth Day 2014.

SGI’s industry standard high performance computing technology, coupled with Intel’s energy efficient processors, complement 3M’s ground-breaking immersion cooling technology that significantly reduces energy and water use and sets the stage for the future of data centers.

“We are thrilled with the work that our collaboration with SGI and Intel has produced,” said Joe Koch, business director for 3M Electronics Markets Materials Division. “We applaud them for their leadership in helping us find better ways to address energy efficiency, space constraints and increased computing power in data centers. These advancements are a significant stepping stone in accelerating industry wide collaboration to optimize computer hardware design.”

In the “data center of the future” the SGI ICE X system can scale seamlessly from tens of teraflops to tens of petaflops, and across technology generations, while maintaining uninterrupted production workflow. The system enables tighter component packaging and scalability, helping reduce the system footprint. It minimizes system overhead and communication bottlenecks that can inhibit efficiency and scalability for a wide range of applications and customer needs.

“Through this collaboration with Intel and 3M, we are able to demonstrate a proof-of-concept showcasing an extremely innovative capability to reduce energy use in data centers, while optimizing performance,” said Jorge Titinger, president and CEO of SGI. “Built entirely on industry-standard hardware and software components, the SGI ICE X solution enables significant decreases in energy requirements for customers, lowering total cost of ownership and impact on the environment. We are delighted to work with Intel and 3M on this demonstration to illustrate the potential to further reduce energy in data centers, something imperative as we move to a more data intensive world.”

“As the backbone of the data economy, modern data centers must increase the raw performance they deliver, but also do so efficiently by containing power consumption and operating costs,” said Charles Wuishpard, vice president, data center group and general manager, Workstation and High Performance Computing at Intel. “Intel is continually innovating and improving microprocessor technologies to meet today’s datacenter demands and is working with companies like 3M and SGI to explore advanced cooling technologies that improve energy efficiency in datacenters while also containing operating costs.”

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