Navigating Liquid Cooling Architectures for Data Centers with AI Workloads

Many AI servers with accelerators (e.g., GPUs) used for training LLMs (large language models) and inference workloads, generate enough heat to necessitate liquid cooling.

The question, of course, becomes what cooling solution actually fits the needs of your server hardware today… and what solutions will prevent you from being constrained tomorrow.

In this white paper, compare the 6 most common heat rejection architectures for liquid cooling, and find out which is the best choice for your AI servers or cluster.

Vendor:: Schneider Electric
Posted:: Mar 5, 2024
Published:: Mar 5, 2024
Format:: HTML
Type:: White Paper

Already a Bitpipe member? Log in here

Download this White Paper!

Corporate Email Address:
You forgot to provide an Email Address.

This email address doesn’t appear to be valid.

Please provide a Corporate Email Address.

This email address is already registered. Please log in.
First Name:
You forgot to provide your first name.
Last Name:
You forgot to provide your last name.
Company Name:
You forgot to provide a company name.
Job Title:
You forgot to provide a job title.
Seniority:
You forgot to select your seniority.
Job Function:
You forgot to select your job function.
# of employees:
You did not select the number of employees at your company.
Industry:
You did not select which industry you are in.
Sub-Industry:
You did not select which industry you are in.
Address 1:
You did not provide a full local address.
Address 2:
City/Town:
You did not provide a full local address.
Country:
You did not select the country you are from.
State/Province:

You did not provide a full local address.
Zip/Postal Code:
You did not provide a full local address.
Phone:
You forgot to provide a phone number.

This phone number format is not recognized. Please check the country and number.
- I agree to TechTarget’s Terms of Use, Privacy Policy, and the transfer of my information to the United States for processing to provide me with relevant information as described in our Privacy Policy.
Please check the box if you want to proceed.
- I agree to my information being processed by TechTarget and its Partners to contact me via phone, email, or other means regarding information relevant to my professional interests. I may unsubscribe at any time.
Please check the box if you want to proceed.