Kubernetes Bytes
Deploy and fine-tune LLM models on Kubernetes using KAITO
Aug 7, 2024
Sachi Desai, a Product Manager specializing in AI technologies, and Paul Yu, a Senior Cloud Advocate at Microsoft, dive into the KAITO project for deploying open source LLM models on Kubernetes. They discuss how KAITO simplifies running AI applications alongside LLM models and enables users to bring and fine-tune their own models. The conversation highlights innovative techniques like LoRa and Q-LoRa for efficient model training. Additionally, they emphasize community engagement's role in enhancing AI model deployment and future capabilities.
44:17
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Quick takeaways
- Kaito simplifies the deployment and management of large language models on Kubernetes, effectively addressing AI workload infrastructure challenges.
- The fine-tuning capabilities of Kaito enable organizations to optimize AI model performance with new datasets while ensuring cost efficiency.
Deep dives
Three Year Milestone of the Podcast
The hosts reflect on the journey of the podcast, celebrating its three-year anniversary and over 75 episodes produced. They express gratitude towards listeners for their support and highlight the growth of the audience through word of mouth. The hosts acknowledge the opportunity to engage with industry experts and attend significant events like KubeCon and Red Hat Summit, where they meet listeners in person. Their commitment to continue the podcast remains strong, emphasizing the importance of sharing knowledge on cloud-native technology.
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