We love seeing all of the NVIDIA GPU-related tweets – here’s some that we came across this week:
— Beat Buesser (@BeatBuesser) May 11, 2017
— Smerity (@Smerity) May 19, 2017
— clarence⚠️chio (@cchio) May 13, 2017
Dinner conversation today: @AlecRad revealing his tips and tricks for distinguishing CNN/RNN/RL training by the sound the GPU makes.
— Andrej Karpathy (@karpathy) May 17, 2017
but Nvidia's CUDA development environment provides a comprehensive set of well-developed tools for Deep Learning that AMD cannot match.
— gibson86 (@gibson861) May 17, 2017
— Blaine Christian (@joltcola) May 11, 2017
Training a basic Keras example LSTM https://t.co/42Y7ibYrLj took 4.3x longer (69min) on my Macbook Pro CPU than Google Cloud Nvidia K80 GPU.
— Joseph Nelson (@josephofiowa) May 12, 2017
— Ryan O Schenck (@os__ryan) May 18, 2017
— Grant Beyleveld (@grantbey) May 18, 2017
On Twitter? Follow @GPUComputing and @mention us so we’re able to keep track of what you’re up to.