Scaling-up PyTorch inference: Serving billions of daily NLP inferences with ONNX Runtime 

8 min read

Scale, performance, and efficient deployment of state-of-the-art Deep Learning models are ubiquitous challenges as applied machine learning grows across the industry. We’re happy to see that the ONNX Runtime Machine Learning model inferencing solution we’ve built and use in high-volume Microsoft products and services also resonates with our open source community, enabling new capabilities that…Read more

ONNX Runtime 1.8: mobile, web, and accelerated training 

2 min read

The V1.8 release of ONNX Runtime includes many exciting new features. This release launches ONNX Runtime machine learning model inferencing acceleration for Android and iOS mobile ecosystems (previously in preview) and introduces ONNX Runtime Web. Additionally, the release also debuts official packages for accelerating model training workloads in PyTorch. ONNX Runtime is a cross-platform runtime…Read more

ONNX Runtime scenario highlight: Vespa.ai integration 

1 min read

Since its open source debut two years ago, ONNX Runtime has seen strong growth with performance improvements, expanded platform and device compatibility, hardware accelerator support, an extension to training acceleration, and more. We are excited by its broad usage in production, powering more than a hundred models across Microsoft products and services and bringing concrete…Read more

Accelerate traditional machine learning models on GPU with ONNX Runtime 

4 min read

With the growing trend towards deep learning techniques in AI, there are many investments in accelerating neural network models using GPUs and other specialized hardware. However, many models used in production are still based on traditional machine learning libraries or sometimes a combination of traditional machine learning (ML) and DNNs. We’ve previously shared the performance…Read more

Announcing ONNX Runtime 1.0 

3 min read

One year after ONNX Runtime’s initial preview release, we’re excited to announce v1.0 of the high-performance machine learning model inferencing engine. This release marks our commitment to API stability for the cross-platform, multi-language APIs, and introduces a breadth of performance optimizations, broad operator coverage, and pluggable accelerators to take advantage of new and exciting hardware…Read more

Now available: ONNX Runtime 0.5 with support for edge hardware acceleration 

4 min read

ONNX Runtime 0.5, the latest update to the open source high performance inference engine for ONNX models, is now available. This release improves the customer experience and supports inferencing optimizations across hardware platforms. Since the last release in May, Microsoft teams have deployed an additional 45+ models that leverage ONNX Runtime for inferencing. These models…Read more