The primary hurdle for artificial intelligence is no longer a shortage of microchips, but rather a lack of electrical power. Currently, 2,060+ GW is stalled within US interconnection queues, and the median wait time required to build new infrastructure is 5+ years.
Aethir bypasses these delays entirely by operating 430,000 GPU containers at facilities that are already energized. We gather distributed GPU capacity from locations that possess existing power availability. As a result, there is no need to file an interconnection application before we can actually serve our clients.
Because inference workloads in particular can be directed to wherever computing capacity is currently live, this strategy successfully transforms a complicated electrical grid issue into a simple network routing problem. Please check out our new blog to read all the details.
Aethir bypasses these delays entirely by operating 430,000 GPU containers at facilities that are already energized. We gather distributed GPU capacity from locations that possess existing power availability. As a result, there is no need to file an interconnection application before we can actually serve our clients.
Because inference workloads in particular can be directed to wherever computing capacity is currently live, this strategy successfully transforms a complicated electrical grid issue into a simple network routing problem. Please check out our new blog to read all the details.
