Chilldyne’s negative pressure liquid cooling systems operate on negative pressure. But what does this mean? How does a negative pressure liquid cooling system differ from a positive pressure liquid cooling system? And how do Chilldyne’s negative pressure liquid cooling systems prevent leaks in the datacenter? Check out the video above to find out!
How Does Chilldyne’s Negative Pressure Liquid Cooling Work? Read More »
Welcome to Chilldyne’s YouTube channel, your go-to site for all things liquid cooling! Join us as we embark on an exciting journey, where we take a deep dive into converting a Dell R760XP server to liquid cooling. Liquid cooling has revolutionized the way we keep our systems running cool and efficient. It offers superior heat
How to Convert a Dell R760xp Server to Liquid Cooling Using Chilldyne Hardware Read More »
Check out Chilldyne’s liquid cooling technology designed for AI Data Centers & HPC! The innovative negative pressure loop ensures no coolant leaks. Chilldyne’s solution eliminates the need for heavy-duty plumbing, making setup and maintenance a breeze. Say goodbye to leaks with Chilldyne’s fail-safe systems, like this one demonstrated with the Dell PowerEdge R760 server. (Note:
Leak-Proof Direct Liquid Cooling Demo (Supercut Video) Read More »
A few weeks ago, the team from StorageReview.com visited our Carlsbad, CA office to dive deep into Chilldyne’s liquid cooling technology. Now, they’ve released a podcast where they break down what makes our solutions stand out in the world of HPC and AI data centers with our CEO, Dr. Steve Harrington. In the episode, they cover:✅ Our negative
Podcast: No More Leaks by StorageReview Read More »
Cautious Data Center Operators hesitate to implement liquid cooling into data centers Despite knowing that computer densities are increasing and that water removes heat 3,000 times better than air, data center operators are still cautious about liquid cooling. Why? There are five main reasons: Not long ago, rack power requirements were less than 20 kW.
Why are Data Center Operators Cautious About Liquid Cooling? Read More »
Before we discuss why thermal resistance is important in data center cooling, we probably need to explain what it is. Thermal resistance is defined as the CPU temperature rise over the incoming water or air temperature, divided by the chip power. This is reported as oC/watt and is a measure of a cooling system’s ability to
Why is Thermal Resistance Important in Data Center Cooling? Read More »
Requesting a quote for cooling a specific set of hardware is essential to optimize your total cost of ownership (TCO). Lately, we’ve seen numerous liquid cooling quote requests that vaguely specify kW per rack or request a standalone CDU quote. Without details of the servers or CPUs/GPUs involved, the power a CDU can cool varies
4 Critical Insights for Ordering Data Center Liquid Cooling Systems Read More »
Liquid cooling offers an efficient solution for high-powered computing systems, outperforming traditional air cooling or immersion cooling in heat management. As data centers’ power escalates, so do the thermal challenges they face. If you’re contemplating liquid cooling for your high-performance computing (HPC) environments, crafting a comprehensive Request for Proposal (RFP) is crucial. This process goes
Drafting the Perfect Liquid Cooling RFP: 3 Variables You Can’t Ignore Read More »
Forget expensive, specialized connectors! Chilldyne’s negative pressure technology enables fail-safe, leak-proof liquid cooling solutions that save money. This is by preventing downtime and using generic fluid connectors for major savings. (Generic parts are possible because leaks or broken connectors do not cause downtime on other servers.) If you have a 1,000-server cluster with 2 connector
The digital age is seeing an exponential rise in data usage, and with that, an associated surge in energy consumption by data centers. Accounting for 3% of global energy use, data centers annually consume over 400 TWh, culminating in a whopping 100 million tons of CO2 emissions. As the scale tips towards higher data demands,
