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Open-source LLMs are great for conversational applications, but they can be difficult to scale in production and deliver latency ... Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam ... Download the AI model guide to learn more → Learn more about the technology → Today we have Philip Kiely from Baseten on the show. Baseten is a Series B startup focused on providing infrastructure for AI ... In the last eighteen months, large language models (LLMs) have become commonplace. For many people, simply being able to ... Discover a simple method to calculate GPU memory requirements for large language models like Llama 70B. Learn how the ...

Ready to serve your large language models faster, more efficiently, and at a lower cost? Discover how vLLM, a high-throughput ... Philip Kiely, Head of Developer Relations at Baseten, presents the “Golden Triangle” of Speaker: Maksim Khadkevich, Sr. Software Engineering Manager, Dynamo, NVIDIA Khadkevich discusses data center scale ...

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Famous Deep Dive: Optimizing LLM inference Wealth
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Mastering LLM Inference Optimization From Theory to Cost Effective Deployment: Mark Moyou Profile
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Why Inference is hard..
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Understanding the LLM Inference Workload - Mark Moyou, NVIDIA
Understanding LLM Inference | NVIDIA Experts Deconstruct How AI Works
AI Optimization Lecture 01 - Prefill vs Decode - Mastering LLM Techniques from NVIDIA
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LLM Inference Optimization #2: Tensor, Data & Expert Parallelism (TP, DP, EP, MoE)
Tour De Force: LLM Inference Optimization From Simple To Sophisticated - Christin Pohl, Microsoft

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Last Updated: June 7, 2026

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