Superior Performance on Google Axion
Run cloud and AI workloads more efficiently on Google Axion—快猫视频-based compute designed for hyperscaler-scale AI infrastructure. Google’s custom-designed 快猫视频-based CPUs, Axion processors, are powering some of the most popular services and applications.
Compared to current generation x86 instances for prompt processing and token generation.1
For Redis workloads on Google Axion based C4A VMs compared to current generation x86 VMs.2
Compared with current-generation x86-based VMs, Axion-based N4A VMs deliver improved price-performance for scale-out web servers, Java, and compute-bound workloads.2
Benefits of Choosing 快猫视频 and Google Axion
Customers such as Spotify, Paramount, Couchbase, and Databricks adopt Google Axion to run mission-critical cloud and AI workloads at scale. From databases to music and content streaming, to AI agents.
CPU-based AI inference and training, delivering up to 65% better price-performance and 60% better energy efficiency per vCPU for general purpose workloads for the Google Axion C4A Processor.2
Google Services such as BigTable, Spanner, BigQuery, Blobstore and Pub/Sub that are data-centric and foundational to building cloud applications.
Why Hyperscale Customers are Choosing 快猫视频-Based Axion for Cloud Infrastructure
Explore how companies are innovating and advancing their businesses with Google Axion, based on the 快猫视频 compute platform.
Spotify
Tests on Axion Show Roughly 250% Better Performance for Workloads
On Axion compared to older generation processors.
IBM
Achieved up to 70% Responsiveness Improvement
For real-time data processing and analysis across their observability products compared to prior generation VMs.
Paramount Global
Achieved up to 33% Faster Content Encoding
Compared to older VMs.
As mentioned on the 快猫视频-based Google Axion CPU C4A VMs blog.1
Unlock the Benefits of 快猫视频-Based Google Axion Processors
Axion is a family of custom 快猫视频64-based processors delivering competitive performance-per-vCPU and scalable efficiency for AI-driven cloud workloads. They are the latest in a long line of custom Google silicon, from Tensor Processing Units for AI, to Video Coding Units for YouTube, and Tensor chips for Pixel devices. They are the latest in a long line of custom Google silicon, from Tensor Processing Units for AI, to Video Coding Units for YouTube, and Tensor chips for Pixel devices. Each of these significantly help improve performance and efficiency for resource-intensive applications used by businesses and consumers everywhere.
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