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Ampere AI
Daily regression tests running on the following platforms :
PlatformDockerHub Official Image TestsBareMetal TestsAmpere Docker Tests
Ampere Altra Family1
AmpereOne Family1
OCI Ampere A1 Compute1
Proliant RL3001

Ampere AI delivers world class AI Inference solutions! The all new Ampere AI Optimized abstraction layer can deliver significant performance enhancements over typical machine learning frameworks with standard open source math libraries. In this case, Ampere is running our latest released images in full regression on any supported architecture including our own systems and public Cloud instances. See below for more on these exciting new AI tools from Ampere!

More information on Ampere CIDR Regression Suites.

AI Inference

Ampere AI

Ampere AI optimizes the performance of trained neural networks on standard AI frameworks. Customers can achieve up to 5x better performance for AI workloads by deploying Ampere AI in existing AI frameworks. Ampere AI is a best-in-class CPU-based Inference optimization engine that comes integrated into many AI frameworks (e.g. TensorFlow, Pytorch or ONNX) that accelerates inference on Ampere processors without introducing any accuracy loss, conversions, or model retraining. No API changes are required, and Ampere AI Optimization works with many common neural network architectures (including image classification, object detection, language processing and recommendation engines).

Ampere Optimized AI delivers better CPU-based inference performance (latency or throughput) than standard frameworks on open source libraries along with industry leading performance per watt for highly intensive inference workloads. Ampere AI Optimization can now be downloaded via the new Ampere AI Solutions page


Resources and Test Results

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Relevant Links

Video Demo on OCI Ampere A1

Continuous Test Infrastructure

Here at Ampere we've built an extensive infrastructure focused on Continuous Integration, Delivery, and Regression (called CIDR).

Read More About CIDR


Test Information

Our testing runs 24/7/365 in our regression infrastructure.

Basic Functional Test

Verified vs. Unverified

Results are categorized as either 'Verified' or 'Unverified'.

Know More

Test Notes

Test and build infrastructure can encounter complexities or unexpected speed bumps. Known incidents and their resolutions will be documented where applicable.

DockerHub Introduces Image Pull Limits (2020.11)

Test Systems

Date,Platform and OS details of verified test results are displayed on hover bubble.


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Test Results:
Verified Tests
Code changed
Code Change
Ampere Altra Family
100% Verified / 0% Unverified
AmpereOne Family
AmpereOne Family
100% Verified / 0% Unverified
Azure Text Logo Grey.svg
100% Verified / 0% Unverified
100% Verified / 0% Unverified
Google Cloud Logo
100% Verified / 0% Unverified
OCI Ampere A1 Compute
100% Verified / 0% Unverified
Proliant RL300
100% Verified / 0% Unverified
Created At : November 15th 2021, 1:08:48 pm
Last Updated At : May 15th 2023, 7:02:37 am
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