mardi 11 septembre 2018
Choosing the right type of hardware for deep learning tasks is a widely discussed topic. An obvious conclusion is that the decision should be dependent on the task at hand and based on factors such as throughput requirements and cost.
jeudi 22 mars 2018
High-performance computing, artificial intelligence, and visualization GPUs have a wide variety of uses. That’s why Microsoft has partnered with NVIDIA to bring a wide variety of NVIDIA GPUs to Azure. Join us in San Jose next week at NVIDIA’s GPU technology conference to learn how Azure customers combine the flexibility and elasticity of the cloud with the capability of NVIDIA’s GPUs.
mardi 6 mars 2018
When we announced the preview of our new NCv3 virtual machines back in November, I knew they’d be very popular with our customers. NCv3 brings NVIDIA’s latest GPU – the Tesla V100 – to our best…
jeudi 25 janvier 2018
AZTK lets you to provision on-demand GPU enabled Spark clusters on top of Azure Batch's infrastructure, helping you take your high-performance GPU code and distribute it across your Spark cluster.
jeudi 22 septembre 2016
The Azure Big Compute team is happy to announce version 1.0.0 of the Batch Shipyard toolkit, which enables easy deployment of batch-style Dockerized workloads to Azure Batch compute pools. Azure…
jeudi 4 août 2016
Today we’re delighted to announce that Azure N-Series Virtual Machines, the fastest GPUs in the public cloud, are now available in preview.
lundi 28 mars 2016
The Azure Big Compute team is set to speak at Microsoft Build and NVIDIA GPU Technology Conference the week after. Learn more about the new capabilities we'll be demonstrating!
lundi 16 novembre 2015
As our customers bring their workloads to the cloud to take advantages of scale on-demand, without the overhead of managing infrastructure, they ask if Microsoft can support them with Linux. The answer is yes.