Building Performant AI Applications with NVIDIA NIMs and Haystack

In this session, we talk about Nvidia NIMs, how to use them with Haystack to build AI applications such as Retrieval-Augmented Generation, as well as how you can self-deploy your own NIMs. 📚 Resources - Slides by Mark: https://speakerdeck.com/tuanacelik/inference-optimization-with-nims-by-mark-moyou - Slides by Tuana: https://speakerdeck.com/tuanacelik/building-performant-ai-applications-with-nvidia-nims-and-haystack - Repository for the example code and application: https://github.com/deepset-ai/rag-with-nvidia-nims - Guide to Nvidia NIMs with Haystack: https://haystack.deepset.ai/blog/haystack-nvidia-nim-rag-guide - Helm chart for LLM NIMs: https://github.com/NVIDIA/nim-deploy/tree/main/helm - Waitlist for deepset Studio: https://landing.deepset.ai/deepset-studio-waitlist 🚀 Enroll in the DeepLearning.AI short course - Building AI Applications with Haystack: https://www.deeplearning.ai/short-courses/building-ai-applications-with-haystack/

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• #ai
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