Most companies use as little as 15% of the GPU capacity they already pay for, partly because different kinds of hardware can't easily work on the same thing at the same time. This demo shows that assumption breaking.
One machine is a Linux server with two NVIDIA GPUs. The other is a Mac Studio running Apple silicon. Different chips, different operating systems, normally two separate worlds. We send a single AI question and both machines start working on it immediately, as one team, with no scheduler deciding who does what. You can watch it happen in the logs, and then watch the response arrive.
TAHO runs beneath your existing setup and treats every machine you own as part of one pool of capacity, regardless of who made the chip inside it.