Google Axion C4A is a family of Arm-based virtual machines (VMs) that use Google’s custom Axion CPU, based on Arm Neoverse-V2 cores. Designed for high-performance and energy-efficient computing, these VMs offer strong performance for modern cloud workloads such as CI/CD pipelines, microservices, media processing, and general-purpose applications.
The C4A series provides a cost-effective alternative to x86 VMs while using the scalability and performance benefits of the Arm architecture in Google Cloud.
To learn more about Google Axion, see the Introducing Google Axion Processors, our new Arm-based CPUs blog.
TensorFlow is an open-source machine learning and deep learning framework developed by Google. It helps developers and researchers build, train, and deploy AI models efficiently across CPUs, GPUs, and TPUs.
With support for neural networks, natural language processing (NLP), and computer vision, TensorFlow is widely used for AI research and production. Its flexibility and scalability make it ideal for both cloud and edge environments.
To learn more, visit the official TensorFlow website .
Now that you understand Google Axion C4A Arm-based VMs and TensorFlow fundamentals, you can provision your own VM and start benchmarking machine learning workloads on Google Cloud.