Next-Generation Data Center Design | Alan Duong

Building AI capacity is essential to the future of our company, and supporting AI workloads at scale requires a different approach than scaling to support our regular online services. Our new data center design will support the next generation of AI systems. We are building an increased level of flexibility into our design, which will allow us to pivot in response to shifts and changes in the AI space.

The new design will have fewer but denser racks to support large scale AI clusters, allowing us to have a smaller footprint while serving the same capacity as our previous data center designs. This design was created with efficiency at the forefront. Each data center going forward will be optimized for water and energy usage depending on the site/region, and will continue to incorporate sustainable features to ensure efficient facilities. We anticipate this design will also be faster and cheaper to build.

[fibconetfttxsupplier]

AI technology has indeed driven the demand for data centers, which has become a reality in the optical communication industry. High-density MPO products for cabling are more suitable for the future development of data centers compared to traditional patch cords.

[ashishgejo]

Build it like you have all the time, money and resources you would ever need.

[harryniedecken]

Thank you for the information. It would be really interesting if there was a way to use the rejected heat to purify water. An example is like naval vessels use vacuum distillation to purify sea water into fresh water.

[pgee]

All agreed but one more important point is to consider re-use of heat. We can't still stick to the legacy concept of rejecting heat to the ambient. With the high power AI load we have much more opportunities to capture the rejected heat for re-use.

[andrewbourget]

Comme and discuss this topic at the OCP conference in Lisbon on the 24th and 25th April. We will be showing how OCP is critical to construct and operate underground datacenters in urban centers.

[jonlaban]

Would love more information about Meta Open Source Tech.

[owenzmortgage]

Where is your work? All concepts that everyone knows. Misleading tile bait for clicks

[datacentermechtalk]

It’s literally impossible to be able to comfortably scale your data center for AI there’s no way. Unless you know the exact kilowatt draw on your servers and that’s impossible. How many servers will it take? Heisenberg‘s uncertainty principle applies to this conundrum of building AI data centers. How do you scale to something that has no scale? At this point you’re just building data centers with massive amounts of megawatt usage but have no idea what the end goal is for AI because it’s just in the beginning stages, so everything has to be variable just like the quibit. Whoever is reading this please correct me if I’m wrong. I’m currently building a hyper scale. AI data center. Everything is one of a kind. The only thing that I’m sure of is the max MW that the data center is rated for.

[DoomTrooperTV]

Consdidering this guys position, he sure does....talk...in a weird....cadence.

[ashishgejo]

Throw your original design away start from the ground up you will get a better design that has better efficiency.