Microsoft and NVIDIA bring GPU-accelerated machine learning to more developers
With ever-increasing data volume and latency requirements, GPUs have become an indispensable tool for doing machine learning (ML) at scale.
Unlock the full potential of your data with content crafted for data professionals, offering advanced insights and practical solutions. It’s the edge you need to harness the power of your data and lead the way in innovation.
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.
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.
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.
We’re excited to announce a partnership with Timescale that introduces support for TimescaleDB on Azure Database for PostgreSQL for customers building IoT and time-series workloads.
Azure SQL Data Warehouse is a fast, flexible and secure analytics platform for enterprises of all sizes. Today we are announcing the preview availability of workload importance on the Gen2 platform to help customers manage resources more efficiently.
Today, we’re excited to share two announcements that make adopting Microsoft Azure SQL Data Warehouse (ADW) a no-brainer. First, ADW significantly increased the lead over the competition with the new price-performance benchmarks published by GigaOm, showing exponential price-performance improvements over similar solutions.
Azure Site Recovery now supports disaster recovery of VMware virtual machines and physical machines by directly replicating to managed disks. You will have the choice to select the type of managed disk. Provides hassle free management of capacity in Azure.