Artificial Intelligence has been a work long in progress, but in recent years we are definitely starting to see it begin to make more of a mark. The capacities of it were never in question, but the speed with which those capacities could be undertaken were sometimes. Not that performance speeds are always necessary with AI-related tasks, but sometimes their speediness is definitely of the essence. For example AI is earmarked for an extensive role in healthcare in the future and that’s one area where both accuracy and quick results are definitely going to be required. Recent AI performance testing results came out over a little more than a month back, and what they’ve shown is that AI is getting faster, and that’s something that is great news for the increasingly digital modern world. The future of it is something that is of great interest to us here at 4GoodHosting, and in the same way it would be for any Canadian web hosting provider who enjoys having an eye on the future and what it will entail for IT and all that grows along with it. This measuring of general AI performance follows the first official set of benchmarks much earlier and lays out 350 measurements of energy efficiency. Most systems measured improved by between 5-30% from previous testing, and some were more than 2x better than their previous performance stats. So what is the significance of this, and what will it mean in relation to development? That’s what we’ll look at here this week. 6-Way Performance Testing This testing involved systems made up of combinations of CPUs and GPUs or other accelerator chips being tested on six different neural networks and performing an array of common functions—image classification, speech recognition, object detection, 3D medical imaging, processing of natural language, and ability to make logical recommendation. Computers meant to work onsite instead of in the data center had their measurements made in the offline state to recreate their receiving a single stream of data to measure against least ideal pathway instances. When it comes to AI accelerator chips used in the tested machines, most notable were software improvements to them...
