Azure N-Series Virtual Machines, the fastest GPUs in the public cloud, are now available in preview


 

N-Series instances are enabled with NVIDIA’s cutting edge GPUs to allow you to run GPU-accelerated workloads and visualize them. These powerful sizes come with the agility you have come to expect from Azure, paying per-minute of usage.

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Our N-Series VMs are split into two categories.

The NC-Series (compute-focused GPUs)

With the NC Series you will be able to run compute intensive HPC workloads using CUDA or OpenCL.

The Tesla K80 GPUs and offers the fastest computational GPU available in the public cloud. Furthermore, unlike other providers,

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These are perfect for CUDA across many scenarios including energy exploration applications, crash simulations, ray traced rendering, deep learning and more.

The Tesla K80 delivers 4992 CUDA cores with a dual-GPU design, up to 2.91 Teraflops of double-precision and up to 8.93 Teraflops of single-precision performance. Following are the Tesla K80 GPU sizes available:

 

NC6

NC12

NC24

Cores

6

(E5-2690v3)

12

(E5-2690v3)

24

(E5-2690v3)

GPU

1 x K80 GPU (1/2 Physical Card)

2 x K80 GPU (1 Physical Card)

4 x K80 GPU (2 Physical Cards)

Memory

56 GB

112 GB

224 GB

Disk

380 GB SSD

680 GB SSD

1.44 TB SSD

 

The NV-Series is focused more on visualization.

The NV Series is based around Data movement has traditionally been a challenge with HPC scenarios using large datasets produced in the cloud.

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Tesla M60 GPUs and NVIDIA GRID in Azure for desktop accelerated applications and virtual desktops. With these powerful visualization GPUs in Azure, you will be able to visualize graphic-intensive workflows to get superior graphics capability and run single precision workloads such as encoding and rendering.

The Tesla M60 delivers 4096 CUDA cores in a dual-GPU design with up to 36 streams of 1080p H.264. Following are the Tesla M60 GPU Sizes available:

 

NV6

NV12

NV24

Cores

6

(E5-2690v3)

12

(E5-2690v3)

24

(E5-2690v3)

GPU

1 x M60 GPU (1/2 Physical Card)

2 x M60 GPU (1 Physical Card)

4 x M60 GPU (2 Physical Cards)

Memory

56 GB

112 GB

224 GB

Disk

380 GB SSD

680 GB SSD

1.44 TB SSD

 

The preview will start in South Central region initially and will expand to additional regions in the next couple of months as we approach General Availability before the end of the year.

We encourage you to register your interest in the preview. To learn more about the technology and use cases for N-Series, check out our recent Channel 9 video. Pricing information can be found on the Virtual Machines pricing page.

I am so excited by being able to offer UK Academics these virtual machines and cannot wait to see what new use cases and scenarios they’re able to solve with GPUs in Azure.

Comments (4)

  1. Lee Stott says:

    Azure N-series virtual machines. Coming to all Azure Users on December 1st 2016, the Azure N-series VMs are designed for the most intensive compute workloads, including deep learning, simulations, rendering and the training of neural networks. https://azure.microsoft.com/en-us/blog/azure-n-series-general-availability-on-december-1/

  2. Lee Stott says:

    This blog is a great introduction to using Cloud GPU on a NC24 VM running on Ubuntu 16.04. N-Series VM sizes are at http://gpu.azure.com. In this post, we show you how to operationalize a Azure GPU-trained DCNN model using Azure ML and Azure ML Studio.https://blogs.technet.microsoft.com/machinelearning/2016/10/12/deep-neural-network-in-azure/