NVIDIA and Microsoft Accelerate AI Together - Seite 2

• Greater versatility: The Cognitive Toolkit lets customers use one framework to train models on premises with the NVIDIA DGX-1 or with NVIDIA GPU-based systems, and then run those models in the cloud on Azure. This scalable, hybrid approach lets enterprises rapidly prototype and deploy intelligent features.
  
  
• Faster performance: When compared to running on CPUs, the GPU-accelerated Cognitive Toolkit performs deep learning training and inference much faster on NVIDIA GPUs available in Azure N-Series servers and on premises.⁽¹⁾ For example, NVIDIA DGX-1 with Pascal and NVLink interconnect technology is 170x faster than CPU servers for the Cognitive Toolkit.
  
  
• Wider availability: Azure N-Series virtual machines powered by NVIDIA GPUs are currently in preview to Azure customers, and will be generally available soon. Azure GPUs can be used to accelerate both training and model evaluation. With thousands of customers already part of the preview, businesses of all sizes are already running workloads on Tesla GPUs in Azure N-Series VMs.
  
  

NVIDIA and Microsoft plan to continue their collaboration to help optimize the Cognitive Toolkit for NVIDIA GPUs in Azure and as part of a hybrid cloud AI platform, when connected to NVIDIA DGX-1 on premises.

More Resources

• Microsoft Cognitive Toolkit
• Azure N-Series
• NVIDIA Deep Learning
• NVIDIA DGX-1
• The Intelligent Industrial Revolution by NVIDIA CEO Jen-Hsun Huang

(1) AlexNet training batch size 128, dual-socket E5-2699v4, 44 cores CNTK 2.0b2 for CPU compared to NVIDIA DGX-1 system. Latest CNTK 2.0b which includes cuDNN 5.1.8, NCCL 1.6.1.

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About NVIDIA
NVIDIA (NASDAQ: NVDA) is the AI computing company. Its invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI -- the next era of computing -- with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. More information at http://nvidianews.nvidia.com/.