Scale, performance, and efficient deployment of state-of-the-art Deep Learning models are ubiquitous challenges as applied machine learning grows across the ...

In recent years, large-scale deep learning models have demonstrated impressive capabilities, excelling at tasks across natural language processing, computer ...

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. ...

Securing the software supply chain and verifying that chain is hard for any software, and containers running in Kubernetes are no exception. Operational best ...

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 ...

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 ...

As organizations adopt machine learning in production, they face growing challenges that arise when the number of production machine learning models starts to ...

ONNX Runtime is an open-source project that is designed to accelerate machine learning across a wide range of frameworks, operating systems, and hardware ...

With extensive support for all major Linux distributions including Red Hat, SUSE, Ubuntu, CentOS, Debian, and managed platform-as-a-service (PaaS) offerings ...

PyTorch is an increasingly popular open-source deep learning framework that accelerates AI innovations from research to production. At Microsoft, we use ...

eBPF is a well-known but revolutionary technology—providing programmability, extensibility, and agility. eBPF has been applied to use cases such as ...

The performance improvements provided by ONNX Runtime powered by Intel® Deep Learning Boost: Vector Neural Network Instructions (Intel® DL Boost: VNNI) greatly ...

Maintaining a competitive advantage often depends on how quickly you can deliver new services. SAP applications are designed to help companies analyze data to ...

We hear about open source projects every day, but we rarely hear from the people who maintain them. Maintaining an open source project is a full-time, often ...

Scikit-learn is one of the most useful libraries for general machine learning in Python. To minimize the cost of deployment and avoid discrepancies, deploying ...

Managing Kubernetes clusters at scale across a variety of infrastructures is—well—even harder. The Kubernetes community project Cluster API (CAPI) enables ...

The ability to access the internal state of your application ecosystem is critical to optimizing your applications and the experience of your users. Elastic ...

Over the last few years IoT devices, machine learning (ML), and artificial intelligence (AI) have become very popular and now a lot of companies are moving ...

From startups to the global 2000, Elastic powers search solutions for thousands of companies worldwide to find documents, monitor infrastructure, protect ...

ONNX Runtime is an open source project that is designed to accelerate machine learning across a wide range of frameworks, operating systems, and hardware ...