Commercial Counsel

🇺🇸 San Francisco, California
$2K - $2K Annual
Posted 5 days ago
Expires January 4, 2027
Full TimeOn-siteLegalOperations

ABOUT SAN FRANCISCO COMPUTE

San Francisco Compute exists to give ambitious teams large scale supercomputers without taking on a catastrophic balance sheet risk. Most GPU clouds force you to sign long term contracts with no way out. If you underbuy, you miss the window. If you overbuy, you’ll blow up with no way out. It’s a desperate gamble that San Francisco Compute does not force you to play.

 

Originally, SFC was an AI lab that bought too big of a GPU cluster and was forced to sublease it or go under. Today, we build data centers and supercomputers, then lease those machines on contracts that let our customers sublease. More than anyone else in the industry, we deeply felt the pain and fear of being forced to bet the farm with your neocloud vendor. To enable subleasing, we invented the first compute market and became the first to offer physical settlement. That means we operate GPU clusters like a neocloud and derisk our customers like a market.

 

Customers buying GPU clusters don’t want to work through a network of brokers. They want to transact with the folks that have the keys to the cluster and can own the SLA.

 

To keep the industry safe from unnecessary risk, SFC needs to scale fast. To do that, we serve financially motivated parties as a technical partner to build, operate, & lease supercomputers on their behalf. Basically, we help folks who want an economic return build GPU clusters on their balance sheet, but operated in full by us. That lets us retain the technical control needed to run a cloud while scaling fast like a market. SFC’s ability to offer subleasing can significantly increase the levered returns for cluster owners.

 

Our hybrid model outperforms brokered contracts or other “compute markets,” which have to go through a network of counterparties to solve problems. It also lets us design custom solutions for our customers, like clusters deployed in regions next to your dataset or physical eval set or a large CPU fleet deployed coloc...