GPU-ACCELERATED
MICROSOFT AZURE

Bringing AI and High Performance Computing to Enterprise

Today’s global challenges aren’t easy to solve. Issues related to our environment, economy, energy, and public health system require modern, transformative solutions. Microsoft Azure addresses these challenges with key high-performance computing (HPC) enablement and orchestration components integrated into a global-scale cloud platform.

We’re working hard to empower every organization with AI so that they can make smarter products and solve some of the world’s most pressing problems. By working closely with NVIDIA and harnessing the power of GPU-accelerated systems, we’ve made Cognitive Toolkit and Microsoft Azure the fastest, most versatile AI platform. AI is now within reach of any business.

- Harry Shum, Executive Vice President of Microsoft’s Artificial Intelligence and Research Group

Every industry has awoken to the potential of AI. We've worked with Microsoft to create a lightning-fast AI platform that is available to Microsoft Azure cloud users. With Microsoft's global reach, every company around the world can now tap the power of AI to transform their business.

- Jensen Huang, CEO and Founder of NVIDIA

Applications for Azure N-Series Virtual Machines

NVIDIA^® Tesla^® V100 SXM2-NDv2

AI, Machine Learning, HPC

Tesla P40-NDv1

AI, Machine Learning, HPC

Tesla V100-NCv3

HPC

Tesla P100-NCv2

Entry-Level HPC

Tesla K80-NCv1

Entry-Level HPC

Tesla M60-NVv2

Graphics Visualization

NGC

Get simple access to a broad range of performance-engineered containers for AI, HPC, and HPC visualization to run on Azure N-series machines from the NGC container registry . NGC containers include all necessary dependencies, such as NVIDIA CUDA^® runtime, NVIDIA libraries, and an operating system, and they’re tuned across the stack for optimal performance. To run NGC containers on Azure and take full advantage of NVIDIA GPUs, NVIDIA tested and validated containers are available on Azure Marketplace .

AZURE MACHINE LEARNING SERVICE

Use Azure Machine Learning service to accelerate the machine learning lifecycle with powerful NVIDIA GPUs. Use automated machine learning to identify suitable algorithms and tune hyperparameters faster. Improve productivity and reduce costs with autoscaling GPU clusters and built-in machine learning operations. Seamlessly deploy to the cloud and the edge with one click. Access all these capabilities from any Python environment using open-source frameworks such as PyTorch, TensorFlow, and scikit -learn. Azure Machine Learning service also integrates with RAPIDS to unlock even more performance gains.

GPU-Accelerated Virtualized Graphics

NVIDIA Quadro Virtual Workstation for GPU-accelerated graphics helps creative and technical professionals maximize their productivity from anywhere by accessing the most demanding professional design and engineering applications from the cloud. Microsoft Azure gives designers and engineers the flexibility to run virtual desktops on NV-series instances powered by NVIDIA GPUs.

ACCESS THE POWER OF MICROSOFT AZURE AND NVIDIA GPUs

TRY THE N-SERIES TODAY

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