# \#onnxruntime

**URL:** https://community.amperecomputing.com/tag/onnxruntime/56.md

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## [Inference in ONNX in C?](https://community.amperecomputing.com/t/inference-in-onnx-in-c/3238)

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**Author:** [@dylanetaft](https://community.amperecomputing.com/u/dylanetaft)\
**Replies:** 4\
**Last updated:** [October 15, 2025, 8:14pm UTC](https://community.amperecomputing.com/t/inference-in-onnx-in-c/3238 "2025-10-15T20:14:48Z")

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I have been experimenting with OnnxRuntime in C, C++, as well as NCNN, and a Yolo v12 image model trained in Pytorch. One thing I am noticing - the out of the box optimizations don’t quite work for inference on Ampere C…

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## [Accessing Ampere Optimized (AI) Frameworks on MS Azure](https://community.amperecomputing.com/t/accessing-ampere-optimized-ai-frameworks-on-ms-azure/315)

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**Author:** [@kkrysa](https://community.amperecomputing.com/u/kkrysa)\
**Replies:** 3\
**Last updated:** [May 24, 2023, 4:40pm UTC](https://community.amperecomputing.com/t/accessing-ampere-optimized-ai-frameworks-on-ms-azure/315 "2023-05-24T16:40:53Z")

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If you’re running any AI or ML workloads on Ampere processors, you want to make sure you use Ampere Optimized Frameworks for a 2-5 X boost in performance. Since this free AI software is yet to be added to the Azure marke…