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15min chapter
Generative AI on Kubernetes
Kubernetes Bytes
Optimizing Inference Engines on Kubernetes with TGI X Gen and More
This chapter delves into the advantages of utilizing the TGI X Gen inference engine from hugging face on Kubernetes, highlighting its ease of use and memory management capabilities. It explores various optimized inference engines like TGI, VLLM, and TensorRT LLM for deploying models effectively on Kubernetes clusters. The discussion extends to utilizing tools like Olaama and Ray, building infrastructures for retrieval augmented generation pipelines, and leveraging LLM for contextual question answering, concluding with reflections on the episode and promoting upcoming content by the guest.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode