Titan V at full load can consume up to 300W when it peaks, 4 of them so it is 1200W for the GPU, each CPU is rated for 205W but we know intel always lies so count it as 250W, 500W for CPU, I didn't even count the ram sticks and ssds here and it is already reached to 1700W peak, you have 1600W, you'll have PSU issues if you want to run deep learning/machine learning applications at the long run.
but, since you are running windows and not using all the capability of the machine for running deep learning and only have presumably a single 4K screen you will never going to utilize all the gpus with gaming, even if you push all the limits of the hardware you have you'll stay under 1600W but not much, it'd better to have dual PSU or something at the realm of 2000W at least.
there are tons of tweaks on the nvidia hardware, so if we take those into the consideration, when you want to train a dataset you can halve the gpu power and save up to 700W from GPUs, since dataset training uses barely any cpu, we can add 100W, and another 200W for ram and storage, in the minimum consumption you'll again hit ~1000W it is a small heater and you'll need active airflow on the motherboard which I don't see on your photos. servergrade motherboards rely on active airflow and horizontal usage, you'll damage $30000 build no more than 2 years with active use.
if the room is 73F, how the hell SSD's running at 68F?