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Up to 50 percent better price-performance than comparable x86-based virtual machines (VMs) for scale-out workloads. The demand for compute capacity to sustain business modernization and digital transformation initiatives continues to grow. Organizations are facing a complex set of challenges as they deploy a broad range of workloads globally, from the edge to the cloud. There…
When planning a potential migration of on-premises infrastructure to Azure, you may want to retain your existing public IP addresses due to your customers’ dependencies (for example, firewalls or other IP hardcoding) or to preserve an established IP reputation. Today, we are excited to announce the general availability of the ability to bring your own…
Semiconductor and silicon technology are the basis of digital transformation happening everywhere, across industries and our daily lives, impacting the way we work, learn, and play. The continuous improvement in the performance and power of silicon has been key to enabling this innovation. Here at Microsoft, we’ve empowered our long-standing partners in the semiconductor industry…
Starting today, Azure Load Balancer enables customers to manage port forwarding for Virtual Machine Scale Sets or a group of virtual machines in a backend pool with a single set-up with minimum management overhead. What is port forwarding? Port forwarding lets you connect to specific virtual machines by using the Load Balancer frontend IP address…
Back in 2019 when Azure launched the first GPU-partitioned (GPU-P) virtual machine (VM) offerings in the public cloud, our customers loved it and asked for a similar offering on NVIDIA GPUs. Our customers wanted the flexibility to choose the GPU that meets the workload requirements and get the benefits of GPU-P, which enables cost-effective configurations based on…
Many industries such as healthcare, finance, transport, and retail are going through a major AI-led disruption. The exponential growth of datasets has resulted in growing scrutiny of how data is exposed—both from a consumer data privacy and compliance perspective. For example, the use of AI in healthcare has grown rapidly, with hospitals and pharmaceutical companies…