Accelerate traditional machine learning models on GPU with ONNX Runtime
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.
AI + Machine Learning
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Open-sourcing TensorFlow with DirectML
Following the release of our Developer Preview in June, today we’re announcing an exciting next step as we make the source code of TensorFlow-DirectML, an extension of TensorFlow on Windows, available to the public as an open-source project on GitHub. -
GPT-2 fine-tuning with ONNX Runtime – a 34% speedup in training time
Model training is an important step when developing and deploying large scale Artificial Intelligence (AI) models. -
Hyperspace, an indexing subsystem for Apache Spark™, is now open source
For Microsoft’s internal teams and external customers, we store datasets that span from a few GBs to 100s of PBs in our data lake. -
Announcing accelerated training with ONNX Runtime—train models up to 45% faster
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. -
Microsoft open sources breakthrough optimizations for transformer inference on GPU and CPU
This post is co-authored by Emma Ning, Azure Machine Learning; Nathan Yan, Azure Machine Learning; Jeffrey Zhu, Bing; Jason Li, Bing One of the most popular deep learning models used for natural language processing is BERT (Bidirectional Encoder Representations from Transformers). -
Announcing Applied Cloud Stories
We are delighted to announce the Applied Cloud Stories initiative by Microsoft! What is Applied Cloud Stories? Do you work with open source? Are you passionate about machine learning or data science? Do you have stories to share about solving scale or data challenges? Are you investing time and effort so that you and your […] -
ONNX joins Linux Foundation
Today the Open Neural Network eXchange (ONNX) is joining the LF AI Foundation, an umbrella foundation of the Linux Foundation supporting open source innovation in artificial intelligence, machine learning, and deep learning. -
Announcing ONNX Runtime 1.0
One year after ONNX Runtime’s initial preview release, we’re excited to announce v1. -
Now available: ONNX Runtime 0.5 with support for edge hardware acceleration
ONNX Runtime 0.5, the latest update to the open source high performance inference engine for ONNX models, is now available. -
Microsoft joins partners and the Linux Foundation to create Confidential Computing Consortium
Microsoft has invested in confidential computing for many years, so I’m excited to announce that Microsoft will join industry partners to create the Confidential Computing Consortium, a new organization that will be hosted at The Linux Foundation. -
Trill 103: Ingress, Egress, and Trill’s notion of time
Congratulations! You’ve made it to the next installment of our overview of Trill, Microsoft’s open source streaming data engine.
Microsoft Open Source
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