「NVIDIA」カテゴリーアーカイブ

We’ve partnered together with VR industry leaders to bring you VirtualLink – a new open industry standard to connect next-generation #VR headsets to the devices that power them. Learn more: https://nvda.ws/2Lkdarg pic.twitter.com/aMbS5eGOEh

We’ve partnered together with VR industry leaders to bring you VirtualLink – a new open industry standard to connect next-generation headsets to the devices that power them. Learn more: https://nvda.ws/2Lkdarg 

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The human brain contains around 86 billion neurons and imaging a single cubic millimeter can generate more than 1000 terabytes of data. To parse through it @GoogleAI and @mpiNeuro researchers are using #deeplearning and @NVIDIA #GPUs to help map the brain. https://nvda.ws/2JvdcYn pic.twitter.com/ouLNwGXpeg

The human brain contains around 86 billion neurons and imaging a single cubic millimeter can generate more than 1000 terabytes of data. To parse through it and researchers are using and to help map the brain. https://nvda.ws/2JvdcYn 

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Listen to this podcast with NVIDIA's Dave Salvator to examine the use of GPUs in #AI, how #GPUs are being deployed and leveraged at scale, and the partnership with @IBMPowerSystems. https://nvda.ws/2L8PupR pic.twitter.com/jZaYXkyLGn

Listen to this podcast with NVIDIA’s Dave Salvator to examine the use of GPUs in , how are being deployed and leveraged at scale, and the partnership with . https://nvda.ws/2L8PupR 

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Before July 13, vote for NVIDIA #vGPU sessions at Autodesk University 2018 to make them a reality. AS227208 (An AEC Design Firm's Journey through vGPU Technology for Global Collab) and AS227167 (Four Years of GPU-Accelerated VDI for AEC). https://nvda.ws/2L5gzdu pic.twitter.com/6yX3153UQN

Before July 13, vote for NVIDIA sessions at Autodesk University 2018 to make them a reality. AS227208 (An AEC Design Firm’s Journey through vGPU Technology for Global Collab) and AS227167 (Four Years of GPU-Accelerated VDI for AEC). https://nvda.ws/2L5gzdu 

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Debuting at #ICML2018: See how @NVIDIA researchers are using #deeplearning and #GPUs to help restore grainy or noisy images by simply looking at examples of corrupted photos only. https://nvda.ws/2J8WHB7 pic.twitter.com/axNp5zwvvz

Debuting at : See how researchers are using and to help restore grainy or noisy images by simply looking at examples of corrupted photos only. https://nvda.ws/2J8WHB7 

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NVIDIA and @Supermicro_SMCI are partnering to accelerate the power of #HPC and #AI into enterprises in development and design. Hear about HGX-2 powered by Tesla V100 32GB GPUs and NVSwitch. #ISC18 https://nvda.ws/2KWkLsi pic.twitter.com/cqtS8bDHws

NVIDIA and are partnering to accelerate the power of and into enterprises in development and design. Hear about HGX-2 powered by Tesla V100 32GB GPUs and NVSwitch. https://nvda.ws/2KWkLsi 

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NVIDIA and @Lenovodc are partnering to create a multi-purpose platform for #HPC and #AI, allowing customers to tackle humanities greatest challenges. Check out this interview from #ISC18. http://nvda.ws/2q4oFaU pic.twitter.com/9ylUbsC7Y6

NVIDIA and are partnering to create a multi-purpose platform for and , allowing customers to tackle humanities greatest challenges. Check out this interview from . http://nvda.ws/2q4oFaU 

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Our Scratch Build #GeForceGarage Series continues! In this week's episode, Bob Stewart of @BSMods shows an easy way to print custom, detailed designs onto your components and builds. Check it out → https://youtu.be/snX_P_aoIqU pic.twitter.com/rFhF39VHfy

Our Scratch Build Series continues!

In this week’s episode, Bob Stewart of shows an easy way to print custom, detailed designs onto your components and builds.

Check it out → https://youtu.be/snX_P_aoIqU 

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Hear from @sumitgup how @IBMpowersystems and @NVIDIA are partnering to further open science and what is achievable with #AI, enabling us to solve the world's hardest scientific problems. #ISC18 @ORNL @Livermore_Lab https://nvda.ws/2Mp4e0C pic.twitter.com/Luwzvj0jLS

Hear from how and are partnering to further open science and what is achievable with , enabling us to solve the world’s hardest scientific problems. https://nvda.ws/2Mp4e0C 

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