ND and NCv2 virtual machines
ND and NCv2 virtual machines were recently announced at Build 2017. The ND-series, powered by NVIDIA Tesla P40 GPUs based on the new Pascal Architecture, is excellent for training and inference. These instances will provide more than twice the performance over the previous generation for FP32 (single precision floating point operations), for AI workloads utilizing CNTK, TensorFlow, Caffe, and other frameworks. The ND-series will also offer a much larger GPU memory size (24-gigabytes), enabling customers to fit much larger neural net models. Finally, like our NC-series, the ND-series will offer RDMA and InfiniBand connectivity, so users will be able to run large-scale training jobs spanning hundreds of GPUs.
We’re also announcing the next generation of our NC-series, the NCv2, powered by NVIDIA Tesla P100 GPUs. These new GPUs will provide more than twice the computational performance of our current NC-series. We'll also offer InfiniBand networking for workloads that require fast interconnect like Oil and Gas, Automotive, and Genomics to also accelerate scale out capability and improved single instance performance.
Read more about these announcements.