IT implementors

With ever-increasing data volume and latency requirements, GPUs have become an indispensable tool for doing machine learning (ML) at scale.

We’re excited to announce that Forrester has named Microsoft as a Leader in The Forrester Wave™: Big Data NoSQL based on their evaluation of Azure Cosmos DB.

We are excited to join the Game Developers Conference (GDC) this week to learn what’s new and share our work in Azure focused on enabling modern, global games via cloud and cloud-native technologies.

As data scientists, we are used to developing and training machine learning models in our favorite Python notebook or an integrated development environment (IDE), like Visual Studio Code (VSCode).

A few months ago, I shared best practices for alerting on metrics with Azure Database for PostgreSQL.

Artificial Intelligence (AI) algorithms are becoming more intelligent and sophisticated every day, allowing IoT devices like cameras to bridge the physical and digital worlds.

Last week we launched Azure Sentinel, a cloud native SIEM tool. Machine learning (ML) in Azure Sentinel is built-in right from the beginning. We have thoughtfully designed the system with ML innovations aimed to make security analysts, security data scientists, and engineers productive.

When you are working with a database, or any other kind of software, your experience is enhanced or hindered by the tools you use to interact with it.

Azure Machine Learning service is the first major cloud ML service to support NVIDIA’s RAPIDS, a suite of software libraries for accelerating traditional machine learning pipelines with NVIDIA GPUs.

Achieve more with Microsoft Game Stack; Azure Databricks – VNet injection, DevOps Version Control and Delta availability; Hardware innovation for data growth challenges at cloud-scale; and much more.

Today we are excited to open source the preview of the NVIDIA TensorRT execution provider in ONNX Runtime.

How do you back up your SQL Servers today? You could be using backup software that require you to manage backup servers, agents, and storage, or you could be writing elaborate custom scripts which need you to manage the backups on each server individually.