Weaviate (https://go.aws/4oWQuwb) is an AI-native vector database that allows you to store data objects and vector embeddings from your favorite machine learning models while scaling seamlessly into billions of data objects. In a recent discussion, Jobi George, Global VP of Business Development and Partnership at Weaviate, explained how NVIDIA (https://go.aws/4oPPFoI) and Amazon Web Services (aws.com) work together in an ecosystem to deliver cost performance and efficiency. AWS provides scalable and powerful cloud infrastructure, including NVIDIA GPUs, while NVIDIA contributes specialized AI hardware and optimized software. Weaviate serves as the intelligent database layer that orchestrates data and model interactions, enabling the development of production-ready generative AI applications. Watch the short video to learn more about how Weaviate integrates natively with AWS services such as Amazon Bedrock (https://go.aws/44T670k) and Amazon SageMaker (https://go.aws/3Mx8tvD), making model access and management simple and efficient. Additionally, you’ll hear how Weaviate collaborates with NVIDIA to bring seamless integration with NVIDIA NIM (AI Inference Microservices) (https://go.aws/3KEVwPP) , allowing users to leverage NVIDIA’s optimized models directly within the database. Weaviate is available in AWS Marketplace (https://go.aws/4aKQcou), making deployment within an AWS environment straightforward and accessible.
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