Developer Voices

We love seeing all of the NVIDIA GPU-related tweets – here’s some that we came across this week:

When you receive news that you get 45k extra to spend on GPU hardware. #bayer #deeplearning pic.twitter.com/3on4R0jydh

— Ken Heyndrickx (@KenScience) June 10, 2017

Great to be working 👨‍💻 with @nvidia #DGX-1 on intent detection with #deeplearning https://t.co/LVRErCBcwr

— alphachat.ai (@alphachat_ai) June 13, 2017

Just landed on my desk! More #GPU power for my group's #deeplearning research 🙂 many thanks to @nvidia corporation for the donation pic.twitter.com/f6s9PAi3Al

— Benoit Huet (@Benoit_Huet) June 9, 2017

https://twitter.com/Michael_Zingale/status/873196527593848832

I finished building this server last night. 10 @NvidiaAI Titan X Pascal GPUs #DeepLearning @datalogdotai @AccelerateAI @mypollydotai pic.twitter.com/Z3AN4bhGjA

— Jack C Crawford (@jackccrawford) June 15, 2017

Yes, new #AI in #healthcare summit is back at #GTCDC this fall! https://t.co/aTPLndVPwe

— Olexandr Isayev 🇺🇦🇺🇸 (@olexandr) June 5, 2017

Thanks to #NVIDIA for suporting our research! pic.twitter.com/W1GFr6i5L0

— Pattern Recognition and Earth Observation Lab (@PATREO_UFMG) June 12, 2017

Visiting @alaincxs of @signalboxai showing their deep learning platform built on AWS #gpu #deeplearning https://t.co/RkDSnZTFV0

— AWS Startups (@AWSstartups) June 13, 2017

In fact GPUs have been central to DL, because the computation/$ ratio is so much better than CPUs. This GPU costs around USD 600. Not bad!

— RealScientists (@realscientists) June 12, 2017