Resource Library

Learn how to use Ampere Perfkit Benchmarker to automate repeatable cloud-native and AI/ML performance testing across Arm64 bare metal, cloud, containers, and Kubernetes environments.

The Ampere PMU Profiler (APP) is a Python-based tool designed to provide deep insight into the microarchitectural behavior of applications running on Ampere CPUs

The Ampere® System Profiler (ASP) is a python command line interface utility that uses a set of Linux profiling tools to gather system-level performance metrics while running applications of interest.

Optimizing Java Applications for Arm64 in the Cloud

This tutorial walks you through building and using the Ampere Porting Advisor and how to mitigate any issues.

Summarizes the page fault performance issue, how memory mgmt in Linux works, how an atomic Arm64 instruction generates multiple page faults, and how to avoid performance slow-downs.

A step-by-step guide for instantiating an Ampere Altra compute resource on Google GCP running Ampere optimized TensorFlow for AI inferencing.

How to assess, evaluate, test and optimize Ampere Altra Cloud Native Processors on Microsoft Azure with technical documentation and deployment guides.

Step-by-step tutorial to deploy a 3-node MicroK8s cluster on Ampere Altra Max platforms, install and configure LINSTOR, and set-up and execute performance tests