「NVIDIA」カテゴリーアーカイブ

Built for Turing GPUs, #CUDA 10 is the most powerful software development platform for building GPU-accelerated applications. It includes performance optimized libraries, new developer tools and more. http://nvda.ws/2fL5E7N pic.twitter.com/QdDyY1PDdF

Built for Turing GPUs, 10 is the most powerful software development platform for building GPU-accelerated applications. It includes performance optimized libraries, new developer tools and more. http://nvda.ws/2fL5E7N 

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Our Turing architecture is one of the biggest leaps in computer graphics in 20 years. Here’s a look at the latest software releases to take advantage of this cutting-edge #GPU: https://nvda.ws/2PTeikm pic.twitter.com/wrys6UAIbd

Our Turing architecture is one of the biggest leaps in computer graphics in 20 years. Here’s a look at the latest software releases to take advantage of this cutting-edge : https://nvda.ws/2PTeikm 

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Every year, over 200,000 people in the U.S. are diagnosed with lung cancer. To help with early detection, researchers at @nyuniversity trained a #deeplearning algorithm on @NVIDIA #GPUs to detect lung cancer with human accuracy. https://nvda.ws/2MMAL0J pic.twitter.com/wvNIEtC2hO

Every year, over 200,000 people in the U.S. are diagnosed with lung cancer. To help with early detection, researchers at trained a algorithm on to detect lung cancer with human accuracy. https://nvda.ws/2MMAL0J 

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What are current challenges with deploying #HPC apps today? How do you build a container? Get all your answers with this Q&A "Simplifying Access to HPC and AI with Containers" https://nvda.ws/2xc97UQ pic.twitter.com/HM7dbzBD4b

What are current challenges with deploying apps today? How do you build a container? Get all your answers with this Q&A “Simplifying Access to HPC and AI with Containers” https://nvda.ws/2xc97UQ 

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Watch NVIDIA GM and VP of Accelerated Computing, Ian Buck, summarize NVIDIA’s activities at #GTC Japan and #AtScale2018 surrounding the announcement and impact of the new NVIDIA TensorRT Hyperscale #Inference Platform. https://nvda.ws/2oWtbXw pic.twitter.com/zq00OC8fYm

Watch NVIDIA GM and VP of Accelerated Computing, Ian Buck, summarize NVIDIA’s activities at Japan and surrounding the announcement and impact of the new NVIDIA TensorRT Hyperscale Platform. https://nvda.ws/2oWtbXw 

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Can a bee teach an autonomous drone how to fly through gaps? @UofMaryland researchers developed an insect-inspired drone that uses @NVIDIA #GPUs to autonomously fly through unknown holes. https://nvda.ws/2D4g2Wf pic.twitter.com/MqBJYD2eHp

Can a bee teach an autonomous drone how to fly through gaps? researchers developed an insect-inspired drone that uses to autonomously fly through unknown holes. https://nvda.ws/2D4g2Wf 

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Movies have the Oscars. Television has the Emmys. But for those harnessing compute power, what counts is the Gordon Bell Prize. This year 5 of the 6 finalists did their work on the NVIDIA GPU-accelerated Summit and Sierra systems. @ORNL @Livermore_Lab https://nvda.ws/2D7peJB pic.twitter.com/iGKqY7WGMH

Movies have the Oscars. Television has the Emmys. But for those harnessing compute power, what counts is the Gordon Bell Prize. This year 5 of the 6 finalists did their work on the NVIDIA GPU-accelerated Summit and Sierra systems. https://nvda.ws/2D7peJB 

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NVIDIA roboticist Madeline Gannon shares challenges of bringing bots to life for an art installation, as she looks forward to the next chapter in autonomous machines with the availability of the Jetson AGX Xavier devkit. http://nvda.ws/2Oz9al4 pic.twitter.com/aAxwHLihqN

NVIDIA roboticist Madeline Gannon shares challenges of bringing bots to life for an art installation, as she looks forward to the next chapter in autonomous machines with the availability of the Jetson AGX Xavier devkit. http://nvda.ws/2Oz9al4 

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Processing the massive sea of data is the greatest challenge of today’s medical instruments. NVIDIA CLARA AGX will dramatically boost the capabilities of legacy medical devices, enabling scaling from entry level tools to the most demanding 3D instruments: https://nvda.ws/2xaPrkj pic.twitter.com/jYrbxPPTVh

Processing the massive sea of data is the greatest challenge of today’s medical instruments. NVIDIA CLARA AGX will dramatically boost the capabilities of legacy medical devices, enabling scaling from entry level tools to the most demanding 3D instruments: https://nvda.ws/2xaPrkj 

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Introducing NVIDIA #TensorRT inference server, a containerized #AI inference microservice for data center production that maximizes GPU utilization and seamlessly integrates into DevOps deployments. #GTC18 https://nvda.ws/2oVYqSO pic.twitter.com/TOWSNAvip1

Introducing NVIDIA inference server, a containerized inference microservice for data center production that maximizes GPU utilization and seamlessly integrates into DevOps deployments. https://nvda.ws/2oVYqSO 

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. @Fujifilm, the first company in Japan to adopt the NVIDIA DGX-2 #AI supercomputer, aims to accelerate AI research to improve the accuracy and delivery of #healthcare and #medicalimaging systems. #GTC18 https://nvda.ws/2p0PLhQ pic.twitter.com/fPeO5UxgcU

. , the first company in Japan to adopt the NVIDIA DGX-2 supercomputer, aims to accelerate AI research to improve the accuracy and delivery of and systems. https://nvda.ws/2p0PLhQ 

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At #GTC18, NVIDIA CEO Jensen Huang explains how #NVIDIARTX and the new #Turing-based #NVIDIAQuadro GPUs are completely changing the computer graphics industry. Learn more about Quadro RTX here: https://nvda.ws/2x6nn2e pic.twitter.com/onRZqRxHaK

At , NVIDIA CEO Jensen Huang explains how and the new -based GPUs are completely changing the computer graphics industry. Learn more about Quadro RTX here: https://nvda.ws/2x6nn2e 

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