? Hugging Cast S2E4 - Deploying LLMs on AMD GPUs and Ryzen AI PCs

AI Deployment Specialist

Deploying AI using AMD GPUs represents a significant leap toward optimizing edge computing. With extensive real-time processing capabilities, models can drive immediate insights. The training of large language models with the support of AMD's hardware not only reduces latency but also ensures that organizations can harness local data efficiently, mitigating security risks associated with cloud solutions.

AI Ethics and Governance Expert

As AI applications expand into local environments, addressing ethical considerations surrounding data privacy is crucial. Running models on devices, as facilitated by AMD's technology, empowers users by keeping sensitive data locally processed, fostering responsible AI usage. However, the governance framework must evolve to ensure compliance with emerging regulations and to protect user rights, particularly as AI models become increasingly capable.

Large Language Models (LLMs)

Demonstrated deployment techniques on AMD hardware were highlighted in the context of scaling AI applications.

Inference

The live demo encompassed inference on multiple devices, showcasing efficiency improvements.

AMD GPUs

The collaboration focuses on using these GPUs for enhanced AI model performance.

Optimum AMD

This library provides tools to optimize and run AI models efficiently on AMD hardware.

Hugging Face

Collaboration with AMD aims to enhance the deployment and efficiency of AI models.

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AMD

The focus on AI model deployment emphasizes AMD’s capabilities in accelerating data processing in AI applications.

Mentions: 9