Many developers opt to use popular AI Frameworks like PyTorch, which simplifies the process of analyzing predictions, training models, leveraging data, and refining future results. Read more
Together with our colleagues at LinkedIn, we are happy to announce that Feathr is joining the LF AI Data Foundation, an umbrella foundation of the Linux Foundation supporting open source innovation in AI and data. Read more
Mohit Ayani, Solutions Architect, NVIDIA Shang Zhang, Senior AI Developer Technology Engineer, NVIDIA Jay Rodge, Product Marketing Manager-AI, NVIDIA Transformer-based models have revolutionized the natural language processing (NLP) domain. Ever since its inception, transformer architecture has been integrated into models like Bidirectional Encoder Representations from Transformers (BERT) and Generative Pre-trained Transformer (GPT) for performing tasks Read more
This post was co-authored by Jithun Nair and Aswin Mathews, members of technical staff at AMD. In recent years, large-scale deep learning models have demonstrated impressive capabilities, excelling at tasks across natural language processing, computer vision, and speech domains. Companies now use these models to power novel AI-driven user experiences across a whole spectrum of Read more
In our previous blog, we spoke about the progress we have made for the eBPF for Windows project. A key goal for us has been to meet developers where they are. As a result, enabling eBPF programs written for Linux to run on top of the eBPF for Windows platform is very important to us. Read more
Today, we are excited to announce an open-source project called Azure AD workload identity for Kubernetes. It leverages the public preview capability of Azure AD workload identity federation. With this project, developers can use native Kubernetes concepts of service accounts and federation to access Azure AD protected resources, such as Azure and Microsoft Graph, without needing Read more
ONNX Runtime now supports building mobile applications in C# with Xamarin. Support for Android and iOS is included in the ONNX Runtime release 1.10 NuGet package. This enables C# developers to build AI applications for Android and iOS to execute ONNX models on mobile devices with ONNX Runtime. ONNX Runtime is the open source project Read more
Securing the software supply chain and verifying that chain is hard for any software, and containers running in Kubernetes are no exception. Operational best practices like image signing, scanning, provenance verification, and ensuring these operations have been properly completed with signed software bill of materials (SBoMs) are all required, and tons of tools are appearing Read more
eBPF is a well-known, but revolutionary, technology for providing programmability, extensibility, and agility. eBPF has been applied to use cases such as denial-of-service protection and observability. In May 2021, we announced the effort to make eBPF work on Windows, and were encouraged by the huge amount of interest. Six months have passed since then, and Read more
We are introducing ONNX Runtime Web (ORT Web), a new feature in ONNX Runtime to enable JavaScript developers to run and deploy machine learning models in browsers. It also helps enable new classes of on-device computation. ORT Web will be replacing the soon to be deprecated onnx.js, with improvements such as a more consistent developer Read more
Model training has been and will be in the foreseeable future one of the most frustrating things machine learning developers face. It takes quite a long time and people can’t really do anything about it. If you have the luxury (especially at this moment of time) of having multiple GPUs, you are likely to find Read more
This post was co-authored by Jeff Daily, a Principal Member of Technical Staff, Deep Learning Software for AMD. ONNX Runtime is an open-source project that is designed to accelerate machine learning across a wide range of frameworks, operating systems, and hardware platforms. Today, we are excited to announce a preview version of ONNX Runtime in Read more
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