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Accelerated Computing on Microsoft Azure

AI and High-Performance Computing for the Enterprise

Today’s global challenges—including those related to our environment, economy, energy, and public health system—require modern, transformative solutions. Microsoft Azure and NVIDIA are empowering enterprises to push the boundaries of innovation by combining access to NVIDIA’s full-stack computing platform with Microsoft’s global scale, simplified infrastructure management, and flexibility to deploy from the cloud to the edge.

Explore Ways to Get More out of NVIDIA on Azure

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NVIDIA and Microsoft Transform Cloud AI

First public cloud with complete NVIDIA AI solution stack combined with Azure’s global scale for enterprise AI.

NVIDIA CUDA-X AI Libraries Speed Up Machine Learning in the Cloud by 20X

Access Technical Resources, On-Demand Webinars, and More

Microsoft Azure and NVIDIA deliver global access to accelerated computing on demand, simplified infrastructure management, and developer solutions that support the end-to-end lifecycle of building AI-powered applications.

NVIDIA and Microsoft Create Edge-to-Cloud Real-Time Streaming Video Analytics Solution

NVIDIA and Microsoft Create Edge-to-Cloud Real-Time Streaming Video Analytics Solution

NVIDIA and Microsoft are partnering to enable real-time streaming and video analytics that extract powerful insights from thousands of cameras distributed over wide areas.

NVIDIA CUDA-X AI Libraries Speed Up Machine Learning in the Cloud by 20X

How to Launch NVIDIA RTX Virtual Workstations on Azure

An easy-to-follow guide takes you from creating your Microsoft Azure account to powering up an NVIDIA RTX Virtual Workstation (vWS) to access the most demanding design and engineering applications from the cloud.

NVIDIA AI Enterprise on Microsoft Azure

GPU-accelerated instances on Microsoft Azure are certified and supported with NVIDIA AI Enterprise, a fully managed and secure, cloud-native suite of AI and data analytics software that streamlines each step of the AI workflow, from data processing and AI model training to simulation and large-scale deployment, reducing the time to move from pilot to production of AI solutions.  It includes the broadly adopted software of the NVIDIA AI platform essential for developing predictive models to automate business processes and gain rapid business insights with applications such as conversational AI, recommender systems, computer vision, and more. NVIDIA AI Enterprise is certified on Azure with the following instances: NC-T4-v3, NC-v3, ND-A100-v4, NV-A10-v5.

NVIDIA GPU-Accelerated Virtual Machines on Microsoft Azure

Microsoft Azure and NVIDIA empower enterprises in the cloud to harness the combined power of NVIDIA accelerated computing and NVIDIA networking on demand to meet the diverse computational requirements of AI, machine learning, data analytics, graphics, virtual desktop, and high-performance computing (HPC) applications. From fractional GPUs and single GPUs to multiple GPUs across multiple nodes for distributed computing, access the right-sized GPU acceleration for your workloads.

ND A100 v4 VM

Featuring eight NVIDIA A100 40GB Tensor Core GPUs, NVIDIA® NVLink® 3.0, and a dedicated NVIDIA Quantum 200 gigabits per second (Gb/s) InfiniBand connection per virtual machine (VM) for scale-out, multi-node, multi-GPU distributed computing. 

Best suited for AI training, deep learning inference, machine learning, industrial HPC, and data analytics workloads.

NDm A100 v4 VM

Featuring eight NVIDIA A100 80GB Tensor Core GPUs with twice the GPU memory per VM compared to the ND A100 v4 VM series. Includes support for NVIDIA NVLink 3.0 and a NVIDIA Quantum 200 Gb/s InfiniBand connection per VM for scale-out, multi-node, multi-GPU distributed computing.

Best suited for recommender systems, distributed deep learning training, deep learning inference, machine learning, industrial HPC, and big data analytics.

NC A100 v4 VM

Offers the flexibility to select one, two, or four NVIDIA A100 80GB Tensor Core GPUs per VM to leverage the right-sized GPU acceleration for your workload. NVIDIA NVLink 3.0 is supported for GPU-to-GPU communication within the VM.

Best suited for single-node deep learning training, batch inference, interactive machine learning development and exploration, modeling, simulation, and data analytics.

NV A10 v5 VM

Offers the flexibility to provision partial GPU partitions to two full NVIDIA A10 Tensor Core GPUs per VM. Powered by Microsoft Azure GPU-partitioning capabilities built on top of NVIDIA RTX Virtual Workstation technology.

Best suited for graphics-intensive workloads, including virtual desktops, computer-aided design (CAD), rendering, simulation, AI inferencing, and data analytics. 

Explore Azure Success Stories

Learn how companies like yours are creating value with NVIDIA on Azure.

Microsoft Advancing AI-Powered Speech Using GPU Inference

Microsoft Advancing AI-Powered Speech Using GPU Inference

Microsoft demonstrates how their voice search tools leverage NVIDIA inference on Azure to provide more accurate and human-sounding results to users 5X faster. 

Microsoft Advancing AI-Powered Speech Using GPU Inference

AI Helps Bing Search for Images Within Images

Search just got smarter, thanks to AI and NVIDIA GPUs on Azure. Microsoft’s Bing now lets you search for images within images. You can even buy items you find there.

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

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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 NVIDIA NGC™ catalog. 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

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 NVIDIA Triton Inference Server and, NVIDIA RAPIDS to unlock even more performance gains.

GPU-Accelerated Virtualized Graphics

With NVIDIA RTX Virtual Workstations, creative and technical professionals can maximize their productivity from anywhere by accessing the most demanding professional design and engineering applications from the cloud. The latest NVads A10 v5 instances, powered by NVIDIA A10 Tensor Core GPUs, offer support for GPU virtualization and GPU-partitioning features, providing customers with access to scalable graphics and compute resources. Virtual workstations powered by NVIDIA GPUs are available directly from Microsoft Azure and the Azure Marketplace. For Remote Desktop Services (RDS) environments, knowledge workers and other professionals can leverage GPU-accelerated cloud computing on Windows multi-sessions with Azure Virtual Desktop.

Access the Power of Microsoft Azure and NVIDIA GPUs

Try the N-series today.

Get started with NGC.