News from the AI & ML world
DeeperML
Alex Woodie@BigDATAwire
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OpenSearch 3.0 has been released by the OpenSearch Software Foundation, marking its first major release under the Linux Foundation. This new version aims to compete with Elasticsearch by providing significant performance improvements, particularly in AI workloads. Organizations that adopt OpenSearch 3.0 for big data search, analytics, and AI are expected to see a 9.5x performance increase compared to previous versions. The release includes GPU acceleration that cuts costs and is designed to handle billions of vectors for AI applications like generative AI chatbots and retrieval-augmented generation, demonstrating its capabilities as a fully functional, scalable vector database.
The key highlight of OpenSearch 3.0 is the GPU-accelerated vector search, an experimental feature that leverages NVIDIA GPUs via the cuVS library to enhance the OpenSearch Vector Engine. This addition results in a 9.3x boost in the performance of vector database workloads and reduces costs by 3.75x compared to CPU-only solutions. By using GPU acceleration for computationally intensive vector operations, OpenSearch 3.0 dramatically reduces index build times and speeds up data-intensive workloads. The platform also supports Model Context Protocol (MCP), enabling AI agents to communicate effectively with OpenSearch.
Furthermore, OpenSearch 3.0 incorporates several other enhancements including the gRPC protocol for data transport, pull-based ingestion for more efficient data streaming from sources like Apache Kafka, and uses Apache Lucene 10 for indexing and search. Core upgrades to the Java code, now requiring Java 21, include the removal of legacy code and adoption of the Java platform module system, aiming to refactor the existing monolithic server module into libraries. With these upgrades, OpenSearch 3.0 targets fast AI search, scalable vector database operations and improved overall performance compared to its predecessors and competitors.
ImgSrc: www.bigdatawire
References :
The key highlight of OpenSearch 3.0 is the GPU-accelerated vector search, an experimental feature that leverages NVIDIA GPUs via the cuVS library to enhance the OpenSearch Vector Engine. This addition results in a 9.3x boost in the performance of vector database workloads and reduces costs by 3.75x compared to CPU-only solutions. By using GPU acceleration for computationally intensive vector operations, OpenSearch 3.0 dramatically reduces index build times and speeds up data-intensive workloads. The platform also supports Model Context Protocol (MCP), enabling AI agents to communicate effectively with OpenSearch.
Furthermore, OpenSearch 3.0 incorporates several other enhancements including the gRPC protocol for data transport, pull-based ingestion for more efficient data streaming from sources like Apache Kafka, and uses Apache Lucene 10 for indexing and search. Core upgrades to the Java code, now requiring Java 21, include the removal of legacy code and adoption of the Java platform module system, aiming to refactor the existing monolithic server module into libraries. With these upgrades, OpenSearch 3.0 targets fast AI search, scalable vector database operations and improved overall performance compared to its predecessors and competitors.
ImgSrc: www.bigdatawire
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References :
- Blocks and Files: OpenSearch v3
- DEVCLASS: OpenSearch 3.0 hits: First major release under Linux Foundation as it battles ElasticSearch for mindshare
- OpenSearch Project: 🚀 BIG NEWS: OpenSearch 3.0 is now available! With 9.5x performance improvement over v1.3 and GPU acceleration that cuts costs by 3.75x, it's ready to handle billions of vectors for your AI applications. Check out the major upgrades to our open-source vector database!
- Big Data ? SiliconANGLE: OpenSearch revs up AI workloads with GPU-accelerated vector search
- BigDATAwire: OpenSearch Gets Parallel Performance Boost Thanks to GPUs
- siliconangle.com: OpenSearch revs up AI workloads with GPU-accelerated vector search
- www.bigdatawire.com: OpenSearch Gets Parallel Performance Boost Thanks to GPUs
- www.prnewswire.com: OpenSearch 3.0 enhances vector database performance, search infrastructure and scalability to meet AI-driven demand
Classification:
- HashTags: #OpenSearch #GPUAcceleration #VectorDatabase
- Company: OpenSearch, Linux Foundation
- Target: Organizations
- Product: OpenSearch
- Feature: GPU Acceleration
- Type: ProductUpdate
- Severity: Informative