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Read the latest Arm Community blogs and explore the latest in what Arm engineers are writing about.
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The latest posts from Arm experts
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Redefining Datacenter Performance for AI: The Arm Neoverse Advantage
Shivangi Agrawal
In this blog post, explore the features that make Neoverse V series the choice of compute platform for AI.
September 8, 2025
Formally verifying a floating-point division routine with Gappa – part 1
Simon Tatham
Learn the basics of using Gappa for numerical error analysis, using floating-point division in Arm machine code as a case study.
September 4, 2025
Formally verifying a floating-point division routine with Gappa – part 2
Simon Tatham
A method of testing whether a numerical error analysis using Gappa really matches the code it is intended to describe.
September 4, 2025
Migrating our GenAI pipeline to AWS Graviton powered by Arm Neoverse: A 40% cost reduction story
Hrudu Shibu
This blog post explains how Esankethik.com, an IT and AI solutions company, successfully migrated its internal GenAI pipeline to AWS Graviton Arm64.
August 28, 2025
What is Arm Performance Studio?
Jai Schrem
Arm Performance Studio gives developers free tools to analyze performance, debug graphics, and optimize apps on Arm platforms.
August 27, 2025
Python on Arm: 2025 Update
Diego Russo
Python powers applications across Machine Learning (ML), automation, data science, DevOps, web development, and developer tooling.
August 21, 2025
Using GitHub Arm-hosted runners to install Arm Performance Libraries
Waheed Brown
In this blog post, learn how Windows developers can set up and use Arm-hosted Windows runners in GitHub Action.
August 21, 2025
Transforming smart home privacy and latency with local LLM inference on Arm devices
Fidel Makatia
Learn how Raspberry Pi 5 and Arm-based local LLM inference can power a fully private, cloud-free smart home assistant with real-time performance
August 19, 2025
Distributed Generative AI Inference on Arm
Waheed Brown
As generative AI becomes more efficient, large language models (LLMs) are likewise shrinking in size. This creates new opportunities to run LLMs on more efficient hardware, on cloud machines doing AI inference…
August 18, 2025
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