Скачать или смотреть Disaggregated Inference with PyTorch & vLLM | Scaling AI Efficiency

PyTorch and vLLM are transforming how we scale large language model inference with disaggregated inference at scale. This breakthrough decouples memory and compute, enabling greater flexibility, efficiency, and cost-effectiveness across diverse workloads.

In this video, I explore:
✅ What disaggregated inference means
✅ How PyTorch & vLLM make scaling more efficient
✅ Benefits for AI developers and enterprises
✅ Why this approach is a game-changer for large-scale LLM deployments

If you’re passionate about AI infrastructure and the future of scalable inference, this deep dive will give you the insights you need.

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⚠️ Disclaimer: This video and its content were created with the assistance of AI.