1,757 karma · joined June 16, 2015
And without external DRAM, they’ll never be able to provide as much memory as a low-end Intel chip in the Mac mini at the same price point. In-package DRAM is better performing but it changes the price/perf graph.
Apple simply optimized their silicon packages for 90% (or more?) of their users over the outliers.
0: https://arstechnica.com/information-technology/2014/12/gangn...
I think if you assume a world where everyone keeps notes, then these just seem like systems for people that do not have one. But for those that have kept notes, these apps do offer some innovation over the plainest of plain text systems.
Is it similar in ML?
Because pure-software implementations of algorithms are too "expensive" in terms of power and/or latency, the M1 package has logic blocks that implements a GPU, a Neural Network processor, and H.264/H.265/VP9/JPEG/ProRes codecs. When Apple quotes battery life, the fine print says "1080P HD video with brightness set 8 clicks from bottom". Powering down most of the cores and lighting up just one of the codecs is clearly a good way to achieve 18 hours of battery life.
AMD and Nvidia sell GPU "co-processors" that plays games and has been used for machine learning in "GPU mode" (think games using "software rendering"), but Nvidia GPUs now have "Tensor Cores" to accelerate and decrease the electrical power required for some of the linear algebra functions common with ML. Laptop chips from Intel and AMD will have embedded video on package to eliminate an external GPU.
When my mom passed away 18 years ago, we looked high and low for every paper and file to help my dad start to become competent with the household finances. It was a big challenge at an already challenging time.