#TSNE-#CUDA implementation up to 1200x faster Sklearn

Don't waste your time, use #GPU-Accelerated t-SNE

Paper: https://arxiv.org/pdf/1807.11824.pdf
Code: https://github.com/CannyLab/tsne-cuda

GPU cooling tool

This script lets you set a custom GPU fan curve on a headless Linux server.

If you want to install multiple GPUs in a single machine, you have to use blower-style GPUs else the hot exhaust builds up in your case. Blower-style GPUs can get very loud, so to avoid annoying customers nvidia artificially limits their fans to ~50% duty. At 50% duty and a heavy workload, blower-style GPUs will hot up to 85C or so and throttle themselves.

Now if you're on Windows nvidia happily lets you override that limit by setting a custom fan curve. If you're on Linux though you need to use nvidia-settings, which - as of Sept 2019 - requires a display attached to each GPU you want to set the fan for. This is a pain to set up, as is checking the GPU temp every few seconds and adjusting the fan speed.

This script does all that for you.


Code: https://github.com/andyljones/coolgpus

#hardware #gpu

​​Nvidia announced new card RTX 3090

RTX 3090 is roughly 2 times more powerful than 2080.
There is probably no point in getting 3080 because RAM volume is only 10G.

But what really matters, is how it was presented. Purely technological product for mostly proffesionals, techheads and gamers was presented with absolute brialliancy. That is much more exciting then the release itself.

YouTube: https://www.youtube.com/watch?v=E98hC9e__Xs

#Nvidia #GPU #techstack