I needed to replace the SSD in my laptop since I was running out of space. I decided to give a try to the cheapest 1 Terabyte NVMe SSD I could find on taobao since I was curious to know if there was really a difference for everyday tasks as well as game dev related usage compared to more expensive ones such as the intel 760p ssd which I have for my desktop.
Recently DeepMind released Bsuite (GitHub Page), a series of standard experiments to benchmark and compare core capabilities of RL algos.
This post is to for ML devs who want to have their nvidia gpu memory dedicated entirely for their experiments. By default, X and all the apps you use are put on the nvidia gpu while the Intel Integrated Graphics chip stays mostly idle.
In January I did a review of the p106-100 mining card applied to Machine Learning.
NVIDIA’s GTX 1060 shipped in many variants, one maybe less known variant is the 5GB edition intended for Chinese internet cafes. Does it offer a good peformance/price ratio for Machine learning?
As an indie developper, getting the best bang for the buck on computer hardware is always a priority. I have a XiaoMi Notebook pro 2017 which is decent for most tasks but for heavier tasks I needed something more powerful and for a reasonable price.
Reward Farming in Super Mario Bros 3
The RX580 is one of the cheapest 8 GB ML card on the market, is worth it?