PonyBoy225

The SSD is newish, I got it free from my stepfather's work. Not sure the exact model but I'm sure it is fast enough.

It's compatible, I have an older macbook pro (mid 2010 15") so all i'd have to do is reformat the disk to ntfs in order to use it but im not sure if it would be enough space. Maybe just use it to "speed up" my hard drive?

Can you provide an example of how to implement multithreading and minimizing the I/O operations? It would be greatly appreciated .

I may just take the SSD out of my macbook pro and only use the hard drive I have in it instead of both, but then again the SSD I have is only 128GB .

Here is my build: Motherboard: Gigabyte Z370P-D3 CPU: Intel i3-8100 Coffee Lake (4 Cores @ 3.60GHz) GPU: MSI GeForce GTX 1050 2GT OC RAM: Ballistix Sport 2666MHz 8gb (16GB total, dual channel) Power Supply: EVGA 500W 80 Plus Certified Storage: Seagate Barracuda Compute 1TB Hard Drive So, my question is, what is your guys' opinion on the best BIOS settings to enable or disable for my build? I want it to be as fast as possible, the activities I use it for is occasional gaming (Warframe & CSGO), and I am trying to develop my own chatbot using python and want to be able to make the database & training data as fast as possible as well as actually training the model using Tensorflow (The GPU version). I am not able to buy an SSD although I know that would drastically speed up the process (the problems of being broke as a joke). Thermals are not an issue as I have a hyper 212 evo cpu cooler with dual fans installed, as well as the dual fan version of the GTX 1050. Any help with other things other than the BIOS would be greatly appreciated as I do not want to wait months (may be an exaggeration) to train the model. Any help with things like tightening the timings for my ram and messing with it's voltage or anything else would be great. However, the CPU I have has a max RAM frequency of 2400MHz so overclocking the RAM's frequency wouldn't do much as far as I know so I'm focused on timings and maybe frequency. The data I am using is from a post on reddit where the creator posted a dataset for all of the publicly available comments from 2007-2015 here on reddit. The total number of comments in the entire collection is 1.7 Billion. I am using this data to filter through those files and create a database containing specific information organized in a specific way in a table. If you are curious to know exactly what I am doing, I am sort of following along with sentdex's tutorial on youtube or you can comment below or shoot me a pm and I'd be happy to explain. Note: I am not including Sentdex's youtube video to promote his channel (but huge thanks to him) it is just in case people are wondering exactly what I am trying to optimize. Thanks!