We love seeing all of the NVIDIA GPU-related tweets – here’s some that we came across this week:
Lightning Fast! Compiled PyTorch with CUDA support on OSX 10.12.4 for my Pascal GPU – now 10x speeds over CPU. #deeplearning pic.twitter.com/ecUyTebUxa
— John C Liu (@drjohncliu) April 19, 2017
Definition of a supercomputer when I was a kid: A huge computer with built in seats
Today's Marketing: any CPU with a GPU connected
— Adam Conway (@acb0t) April 13, 2017
New SEU error injection tests going well w/ my #CUDA #GPU image compressor 4 #Space! Huge thanks @nvidia 4 making #SASSI framework available pic.twitter.com/N9DtKsuQbv
— Dr Rebecca L. Davidson (@R_L_Davidson) April 20, 2017
Thanks to @nvidia for the 1080Ti we can perform a #DeepLearning training in just few hours instead of days. #gpu power. #AI for everyone! pic.twitter.com/S2agx9ah1o
— Terminus 7 (@terminus7ai) April 15, 2017
We got a #NVIDIA GPU Grant, thanks #nvidia for supporting our research!
— Stefanie Lueck (@snowformatics) April 17, 2017
Good morning. Seeing 100% utilisation across our GPU and GPU Pascal queues this morning, fantastic to see. pic.twitter.com/VuHUKK37jA
— NCI Australia (@NCInews) April 17, 2017
On Twitter? Follow @GPUComputing and @mention us so we’re able to keep track of what you’re up to.