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. 

Ampere System Profiler: A Guide to System Level Profiling

Tutorials

Ampere System Profiler (ASP) is a system-aware Linux profiling tool that correlates CPU, NUMA, I/O, network, scheduling, and power/thermal behavior to uncover root causes of performance symptoms with evidence captured in a single sample window.

Introducing the Ampere System Profiler

Blogs

This guide aims to help you configure the ultimate build server for Ampere's Arm-based architecture 

Optimizing Arm-based Build Servers with AmpereOne CPUs

Tuning Guides

Read this Redis workload brief benchmarking OCI Ampere® A4 Arm-based compute against similarly configured AMD E6 instances. Test results include up to 15% higher throughput and up to 25% better price-performance while meeting stringent latency SLAs.

Redis on OCI Ampere A4 Instances: Price-Performance Leadership 

Briefs

Europe’s AI sovereignty depends on its regional cloud providers. Ampere helps regional providers deliver sovereign Arm-based infrastructure for modern workloads.

Europe’s AI Sovereignty Will Be Built in Its Local Cloud Ecosystem

Explore why Apache Hadoop and Spark workloads can run faster on AmpereOne® M processors—optimized for cores, memory bandwidth, and power efficiency to improve big data and AI pipeline performance.

Why Big Data Workloads Deserve AmpereOne M

Data Analytics

As enterprises deploy AI at scale, choosing the right model size and the right infrastructure can significantly reduce the energy footprint of AI workloads 

The Reality of AI at Scale: Why Right-Sizing Matters 

Oracle expands its A4 portfolio with the new A4.Standard.Ax instance, combining AmpereOne M and Oracle Acceleron to power scalable AI inference and cloud workloads.

Oracle Expands AmpereOne M Portfolio With New A4 Instance

Agentic AI demands continuous, efficient infrastructure. Discover the hidden operational costs of scaling autonomy and how Ampere helps scale AI cost-effectively.

The Hidden Operational Costs of Agentic AI

New AmpereOne® and AmpereOne® M instances across hyperscale and regional providers expand Arm-based cloud choice for European customers seeking scalable, locally operated infrastructure

Ampere Expands European Footprint with Broad New Cloud Deployments

Press Release

In this article, we will look more closely at the operating system and Kubernetes configuration.

Deploying Java applications on Arm64 with Kubernetes

MinIO, Ampere®, Supermicro® and Micron Technology Inc have partnered to deliver and validate performance through comprehensive testing on...

MinIO AIStor and Ampere® Computing Reference Architecture for High-Performance AI Inference      

Reference Architecture

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Achieve more for less.  Read how companies like Uber leverage Ampere on OCI for better performance, efficiency and lower costs.

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