SpaceX is actively hiring world-class engineers/physicists for SpaceXAI, even if you have zero prior experience in AI. Smart humans figure it out fast.
Please send an email with ~3 bullet points demonstrating evidence of exceptional ability to [email protected].
Together with SpaceXAI, weβre training a significantly larger model from scratch, using 10x more total compute.
With Colossus 2βs million H100-equivalents and our combined data and training techniques, we expect this to be a major leap in model capability.
Jannik Sinner can do it all. 6 consecutive titles, a career Golden Masters, and a new record set on home soil. This isn't just history β it's his story in the making.
The team at @xAIMemphis continues to pull a series of miracles on a daily basis. We are building power and data center infrastructure faster than we ever have.
Interested in working with us ? Check out https://t.co/RkobkXhIh3
Elon Musk explains the βseries of miraclesβ xAI had to achieve to bring one gigawatt of power online for its supercomputer cluster in Memphis
The xAI team coordinated dozens of gas turbines, faced permit challenges in Tennessee, and ultimately moved the power generation just across the border into Mississippi. From there, they had to run high-voltage transmission lines and build an entire power plant on the Mississippi side and it was very difficult to build that
But the deeper point is even more important
Most people calculate AI power needs by looking only at the GPUs. That is a serious mistake. A real data center also requires substantial power for networking, CPUs, storage, and most critically cooling
In Memphis, where summer temperatures are extreme, peak cooling demand can add roughly 40% more power. On top of that, operators must maintain extra capacity so generators can be taken offline for servicing without shutting down the entire system. This redundancy typically adds another 20 to 25 percent
When all of these factors are included, Elon stated that approximately 110,000 GB300 GPUs require roughly 330 megawatts of actual power generation
This is why building and powering frontier AI data centers is far more difficult and far more capital intensive than it appears from the outside