Elasticsearch Achieves 40% Faster Indexing on Google Axion C4A Processors
Elastic has announced a strategic collaboration with Google Cloud to enhance the performance of Elasticsearch on Google's custom Arm64-based Axion Processors (C4A). Benchmark results indicate that Elastic Cloud Serverless, now powered by C4A virtual machines and Titanium Local SSDs, delivers up to 40% higher indexing throughput compared to previous-generation VMs. This significant performance boost is designed to support AI-driven applications by providing faster data ingestion and lower query latency for observability, security, and search solutions. The partnership underscores a joint commitment to co-innovation in the generative AI space, leveraging purpose-built hardware to optimize workload efficiency. Uri Cohen, VP of Product Management at Elastic, highlighted the cost-efficiency and best-in-class performance enabled by this Arm-based architecture. Similarly, Salil Suri from Google Compute Engine emphasized the role of Axion processors in delivering optimized infrastructure for Elasticsearch users. The enhanced Elastic Cloud Serverless and Search AI Lake are currently available for users to explore via technical preview on Google Cloud, marking a significant step in integrating specialized hardware with advanced search and AI platforms.
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Elasticsearch Achieves 40% Faster Indexing on Google Axion C4A Processors
Elastic has announced a strategic collaboration with Google Cloud to enhance the performance of Elasticsearch on Google's custom Arm64-based Axion Processors (C4A). Benchmark results indicate that Elastic Cloud Serverless, now powered by C4A virtual machines and Titanium Local SSDs, delivers up to 40% higher indexing throughput compared to previous-generation VMs. This significant performance boost is designed to support AI-driven applications by providing faster data ingestion and lower query latency for observability, security, and search solutions. The partnership underscores a joint commitment to co-innovation in the generative AI space, leveraging purpose-built hardware to optimize workload efficiency. Uri Cohen, VP of Product Management at Elastic, highlighted the cost-efficiency and best-in-class performance enabled by this Arm-based architecture. Similarly, Salil Suri from Google Compute Engine emphasized the role of Axion processors in delivering optimized infrastructure for Elasticsearch users. The enhanced Elastic Cloud Serverless and Search AI Lake are currently available for users to explore via technical preview on Google Cloud, marking a significant step in integrating specialized hardware with advanced search and AI platforms.
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