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Qdrant Launches the First Platform-Independent GPU-Accelerated Vector Indexing for Real-Time AI Applications

Summary by AiThority
Qdrant, the leading high-performance open-source vector database, today introduced its platform-independent GPU-accelerated vector indexing. This new feature delivers up to 10x faster index-building times while leveraging cost-effective GPUs that rival or surpass CPUs in both cost and efficiency. With support for GPU acceleration across multiple platforms, Qdrant empowers developers to scale real-time AI applications flexibly and free from hardw…
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talkdev.comtalkdev.com

Qdrant Unveils GPU-Accelerated Vector Indexing for Enhanced AI Performance

Qdrant has introduced a GPU-accelerated vector indexing feature that allows platform-independent support, improving index-building speeds by up to 10 times. This technology optimizes the HNSW (Hierarchical Navigable Small World) index, which is essential for efficient vector-scale searches. The solution is compatible with multiple GPU architectures, including NVIDIA and AMD, allowing users to choose cost-effective hardware. This enhancement is d…

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AiThorityAiThority

Qdrant Launches the First Platform-Independent GPU-Accelerated Vector Indexing for Real-Time AI Applications

Qdrant, the leading high-performance open-source vector database, today introduced its platform-independent GPU-accelerated vector indexing. This new feature delivers up to 10x faster index-building times while leveraging cost-effective GPUs that rival or surpass CPUs in both cost and efficiency. With support for GPU acceleration across multiple platforms, Qdrant empowers developers to scale real-time AI applications flexibly and free from hardw…

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Blocks and FilesBlocks and Files

Qdrant promises 10x faster indexing with GPU-powered vector database – Blocks and Files

Open source vector database supplier Qdrant says it can use GPUs to calculate vector indices ten times faster than x86 CPUs. A vector database holds vector embeddings, encoded tokens mathematically calculated from segments of text phrases, audio, image, and video streams, which large language models (LLMs) search when generating responses to users’ natural language requests. […]

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SiliconANGLESiliconANGLE

Qdrant launches hardware-independent, GPU-accelerated vector indexing capability - SiliconANGLE

Qdrant, the developer of a high-performance open-source vector database, today introduced its graphics processing unit accelerated vector indexing capability that will make scaling up artificial intelligence applications easier. A vector index is a data structure used in information retrieval to store and pull out high-dimensional data, or a dataset with many features or variables, more […] The post Qdrant launches hardware-independent, GPU-acce…

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SiliconANGLE broke the news in on Thursday, January 23, 2025.
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