Simulation / Modeling / Design

Developer Voices

Apr 28, 2017
By Brad Nemire
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AI-Generated Summary
  • NVIDIA Jetson TX2 is being used by a team for Watson use cases at the edge of the network.
  • MAINGEAR built a $30,000 liquid-cooled system featuring the NVIDIA Tesla K80.
  • Deep learning performance is compared to 3D gaming, noting that a high-end GPU is needed for an enjoyable experience.
  • Deep learning models are requesting more NVIDIA Titan X cards with Pascal architecture.

Next Step

  • Follow @GPUComputing on Twitter and mention them to share GPU computing projects.
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We love seeing all of the NVIDIA GPU-related tweets – here’s some that we came across this week:
https://twitter.com/esc___/status/857334279570944001


https://twitter.com/DoctaCloak/status/857458039640739841


On Twitter? Follow @GPUComputing and @mention us so we’re able to keep track of what you’re up to.

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Tags

CUDA | News | GeForce | Machine Learning & Artificial Intelligence

About the Authors

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About Brad Nemire
Brad Nemire leads the Developer Communications team at NVIDIA. Prior to NVIDIA, he worked at Arm on the Developer Relations team. Brad graduated from San Diego State University and currently resides in Silicon Valley.

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