Microsoft, Neal Analytics release open-source Azure DeepStream Accelerator
Neal Analytics has announced the open-source release of Azure DeepStream Accelerator (ADA). This project is a collaborative effort between Microsoft, Nvidia and Neal Analytics to help developers leverage computer vision at the edge with DeepStream and Azure services on the cloud.
The Azure DeepStream Accelerator provides an easier developer experience for deploying accelerated computer vision workloads at the edge.
“It provides a curated container framework for deploying and managing your edge AI workloads at scale. Plus, it enables edge-to-cloud insights integration into your most critical business applications,” explained Neal Analytics in a company blog.
It enables developers to bring their models and provides an extensible framework for implementing custom logic based on regions of interest. The accelerator also features a playback widget that allows developers to create user interfaces in applications.
The Azure DeepStream Accelerator supports running accelerated AI workloads on machines as small as the Jetson and as powerful as Ampere A2 GPU. With the accelerator, developers can easily integrate edge-to-cloud insights into their most critical business applications at scale, the companies say.
Further, Neal Analytics says it looks forward to seeing what developers create with DeepStream and Azure. According to the company, their team of experts is available to support developers in their journey.
“If you have questions, we’re here to help. Whether you are just getting started with computer vision edge AI workloads or you are looking to further accelerate and scale your capabilities, Neal Analytics has a team of experts that can help you in your journey,” the company noted in a blog post.
Article Topics
Azure | computer vision | edge AI | Microsoft | Neal Analytics | Nvidia | open source
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