CoolIT Systems Invests in World-Class Manufacturing Facilities to Meet High Demand

August 8, 2022

CoolIT Systems (CoolIT) with headquarters in Calgary, Canada is the global leader in direct liquid cooling (DLC) technology and is trusted by the biggest technology organizations like Dell, HPE, Intel, Gigabyte and Supermicro. CoolIT specializes in scalable liquid cooling solutions for the world’s most demanding computing environments and has expanded their manufacturing facilities to meet rapidly growing demand for their products.

Data center challenges that DLC can solve

As data centers continue to become faster and more powerful, servers generate more heat while processor operating temperature limits are decreasing. This requires more efficient cooling than traditional air-cooling with fans can provide.  CoolIT’s Rack DLC™ technology with patented Split-Flow coldplates provides computing environments with efficient and high performance liquid cooling that greatly exceeds legacy air-cooling technology performance.

Server boards and racks are also becoming denser to increase the amount of computing power in a smaller footprint. This increased density cannot be met with traditional air-cooling methods that need space between components on a server board and space between servers within a rack to accommodate sufficient air flow, large heat sinks and large fans. CoolIT’s patented Rack DLC™ technology is specifically engineered with low profiles to enable increased density in servers and server racks to aid in decreasing the footprint of data centers.

Data centers consume a large amount of electricity for cooling. Liquid is a more efficient medium than air for heat transfer. CoolIT’s coldplate, coldplate loop and coolant distribution unit (CDU) products decrease the power required to cool data centers thus decreasing operating costs and significantly reducing carbon emissions. Many of CoolIT’s customers reuse the heat that is transferred into the liquid for sustainability initiatives such as heating buildings.

CoolIT expands manufacturing facilities at Canadian headquarters

CoolIT is a rapid growth company with world-class manufacturing capability, scalability, and hands-on manufacturing expertise. The company prides itself on its growing Calgary-based manufacturing. CoolIT continues to invest in their Calgary, Canada facility to better support North American clients.

CoolIT heavily invested in expanding their North America manufacturing facilities at their head office in Calgary, Canada to meet the growing demands for DLC technology. The manufacturing facility has expanded every year since 2019, adding an additional 10-13k square feet to the facility every year. This growth increased manufacturing capacity 5X since 2019 and allows the company to easily scale with growing demand. CoolIT also invested in machining and specialized fabrication capabilities in their manufacturing facility and Liquid Lab.

CoolIT uses robotics and automation to enable repeatable, reliable and scalable manufacturing of their products. Hamid Rafiei, CoolIT VP of Manufacturing states, “Our internal automation capabilities can quickly meet fast paced production ramp up needs. We have the flexibility and expertise in-house to deploy very sophisticated and complex automation systems in all areas of manufacturing from assembly to testing, which differentiates us from competitors.”

Figure 1. CoolIT Automated Assembly Area. Courtesy of Hamid Rafiei, VP, Manufacturing CoolIT

CoolIT leverages hands-on in-house manufacturing engineering capabilities including lean manufacturing, electronic standard operating procedures (SOPs), and work instructions with 3D visuals. The manufacturing facility benefits from a variety of in-house 3D printing capabilities for rapid prototyping of fixtures and jigs. Manufacturing lines use a wide range of robotic solutions including industrial robots, collaborative robots and a variety of pneumatic automated solutions.

Production lines are built for liquid-cooling from the ground up, as opposed to competitors who are transitioning from legacy air-cooling production manufacturing capabilities. This allows CoolIT to easily implement more stringent manufacturing practices that DLC technology demands as well as implement sophisticated end-of-line product testing and prototype testing.

“The CoolIT manufacturing facility is equipped with everything we need to manufacture and thoroughly test DLC products for our customers,” states Rafiei, “Thanks to our continued investment into our manufacturing expertise, CoolIT delivers reliable, efficient DLC products at high volumes and decreased lead times, helping our customers resolve heat-related issues and ultimately enabling peak performance in their enterprise servers and HPC systems.”


About CoolIT Systems

CoolIT Systems specializes in scalable liquid cooling solutions for the world’s most demanding computing environments. In the desktop enthusiast market, CoolIT provides unparalleled performance for a range of gaming systems. In the enterprise data center and high performance computing markets, CoolIT partners with global leaders in OEM server design to develop the most efficient and reliable liquid cooling solutions for their own leading-edge products. Through its modular, Direct Liquid Cooling technology Rack DLC™, CoolIT enables dramatic increases in rack densities, component performance and power efficiencies. For more information about CoolIT Systems and its technology, visit https://www.coolitsystems.com and follow CoolIT Systems on LinkedIn.

CooIT Systems

 

 

 

 

 

 

 

 

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire