, so it’s basically free.” I’ve said that, you’ve probably said that, and it’s the kind of claim that sounds true until someone measures it. So I measured it. The box is “ardi” — one openSUSE machine with a single RTX 3090 (24 GB). On it I ran a controlled benchmark: three local models served by…
is straightforward. You load the weights, load the data, and wait for it to finish. For most models, that’s fine, and the only real cost is time. When the wait gets too long, the usual fix is to add GPUs. Each one trains on a different slice of the data in parallel, and the work…
some of the problems we face in implementing AI algorithms, we usually focus on the processors’ ability to handle them. But now, NVIDIA’s GPUs power the latest large language models, and companies compete to build faster AI accelerators. These new chips promise more computational power, more cores, and more operations per second. So, one would…