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GPUs go brrr! Elastic Inference Service (EIS): GPU-accelerated inference for Elasticsearch

Blog post from Elastic

Post Details
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1,131
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35
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Summary

Elastic has announced the Elastic Inference Service (EIS), a GPU-accelerated inference solution integrated with Elasticsearch on Elastic Cloud, designed to enhance the efficiency of modern search and AI workloads by providing fast, scalable inference for embeddings, reranking, and language models. EIS offers a managed inference-as-a-service platform that reduces operational overhead by eliminating the need for infrastructure management, model testing, and integration handling. It introduces Elastic Learned Sparse EncodeR (ELSER) as its first text-embedding model to improve semantic search relevance and performance, with plans to expand its model catalog further. EIS, leveraging NVIDIA GPUs, promises low-latency, high-throughput inference, and integrates seamlessly with Elasticsearch, offering a streamlined developer experience without the need for manual configuration. It supports multi-cloud and multi-region deployments, ensuring broad accessibility and flexibility, while consumption-based pricing and backward compatibility facilitate ease of use. Future developments aim to introduce additional models and expand coverage across more cloud service providers and regions, further enhancing the capabilities of the Elastic ecosystem.

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