by Hugo Affaticati (Technical Program Manager), Tonny Wong (Principal Product Manager), Jon Shelley (Principal TPM Manager), and John Lee (Principal Product Manager).   Introduction   The NC A100 v4-series virtual machines (VMs) on Azure offer great flexibility for a wide range of workloads. Powered by NVIDIA A100 80GB PCIe Tensor Core GPUs and 3rd generation AMD EPYC 7V13 (Milan) processors, these instances are well-suited for autonomous vehicle training, oil and gas reservoir simulation, video processing, AI/ML inference-powered web services, and much more. They are available in ..read more

By Hugo Affaticati – Technical Program Manager   Useful resources: Information on the NC A100 v4-series: Microsoft               Information on MIG: NVIDIA   In this document, one will find the steps to run the MLPerf Inference v2.1 benchmarks for BERT, ResNet-50, RNN-T, and 3D-UNet on one of seven slices of NVIDIA-powered NC A100 v4-series Tensor Core GPUs with Multi-Instance GPU (MIG). Learn more about MIG on Azure and Azure’s submission to MLPerf Inference v2.1.   Pre-requisites: Deploy and set up a vi ..read more

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Functions are the building blocks for any application you’ll create. With functions, you can create named, reusable sections of code to help make it more readable and maintainable. This module explores the core concepts of functions when used for web development to make HTML interactive ..read more

Educators can join Minecraft and code.org for help running an effective Hour of Code with their students ..read more

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Forms are created and managed in Visual Studio and will display to the user as web pages. This module explains how forms are created and managed in the finance and operations apps developer environment, along with how to optimize the performance of forms ..read more