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NVIDIA GPU CLOUD - Deep Learning Everywhere

Read through this Slideshare to learn more about the benefits of NVIDIA's NVIDIA GPU Cloud (NGC).

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NVIDIA GPU CLOUD - Deep Learning Everywhere

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  1. NVIDIA GPU CLOUD Deep Learning Everywhere, for Everyone

  2. CHALLENGES WITH DEEP LEARNING Current DIY deep learning environments are complex and time consuming to build, test and maintain Open Source Frameworks Development of frameworks by the community is moving very quickly NVIDIA Libraries NVIDIA Docker Requires high level of expertise to manage driver, library, framework dependencies NVIDIA Driver NVIDIA GPU

  3. NVIDIA GPU CLOUD (NGC) Deep Learning Everywhere, For Everyone Innovate in minutes Removes all the DIY complexity Deep learning across platforms Runs locally on DGX or on AWS Always up to date Monthly releases for maximum performance

  4. INNOVATE IN MINUTES Simplify deployment of GPU-accelerated applications Isolate individual frameworks or applications Share, collaborate, and test applications across different environments LEARN MORE 4

  5. NGC IS A HYBRID CLOUD STRATEGY CLOUD Everywhere TESLA Servers in every shape and size DGX-1 The appliance for instant productivity TITAN X Available via retail in 200+ countries

  6. ALWAYS UP TO DATE Monthly Framework Releases with NVIDIA Optimizations DOWNLOAD TECHNICAL OVERVIEW NVIDIA Docker NVIDIA Docker NVIDIA Docker NVIDIA Docker NVIDIA Docker . . . Other Frameworks and Apps CNTK Tuned SW Caffe2 Tuned SW PyTorch Tuned SW Tuned SW TF Tuned SW CUDA RT CUDA RT CUDA RT CUDA RT CUDA RT Linux Kernel + CUDA Driver

  7. MAXIMIZING PERFORMANCE ON VOLTA 12 Greater than 10x Performance on Volta vs K80 10 8 6 4 2 0 K80 V100 TC GPU Generational Training Scaling ResNet-152 Training, 8x K80 (16 GPUs total) compared with 8x V100 NVLink GPUs using NVIDIA 17.10 containers

  8. AVAILABLE NOW WITH VOLTA ON AWS NGC container registry now available for 1 to 8 Volta GPUs on Amazon EC2 NVIDIA Volta Deep Learning AMI on AWS Marketplace

  9. GETTING STARTED Sign up Deploy image Pull container To get an NGC account, go to: On Amazon EC2, choose a P3 instance and deploy the NVIDIA Volta Deep Learning AMI for NGC Pick your desired framework (TensorFlow, PyTorch, MXNet, etc.), and pull the container into your P3 instance ngc.nvidia.com

  10. NVIDIA GPU CLOUD FOR DEEP LEARNING Deep Learning Across Platforms Innovate In Minutes Always Up To Date

  11. GET STARTED NOW WITH NGC Sign Up and Start a Deep Learning Job in Minutes To learn more, watch a getting started video and download the NGC Deep Learning Technical Overview at: nvidia.com/cloud To sign up for an account at no charge, go to: ngc.nvidia.com

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