2018년 9월 11일 화요일
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.
2018년 3월 22일 목요일
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.
2018년 3월 6일 화요일
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…
2018년 1월 25일 목요일
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.
2016년 9월 22일 목요일
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…
2016년 8월 4일 목요일
Today we’re delighted to announce that Azure N-Series Virtual Machines, the fastest GPUs in the public cloud, are now available in preview.
2016년 3월 28일 월요일
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!
2015년 11월 16일 월요일
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.