LLM D Multi Accelerator LLM Inference On Kubernetes Erwan Gallen Red Hat

June 5, 2026
Search Intent Brief: Running Large Language Models (LLMs) locally for experimentation is easy but running them in large scale architectures is not. Large language models like DeepSeek-R1 need a large amount of parameters to perform complex tasks, creating the need for a ...

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Large language models like DeepSeek-R1 need a large amount of parameters to perform complex tasks, creating the need for a ... Running Large Language Models (LLMs) locally for experimentation is easy but running them in large scale architectures is not. Ready to become a certified Administrator - IBM Cloud Pak for Business Automation?

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Scaling LLMs to production introduces critical challenges: How do you orchestrate In this quick virtual lightboard video, we walk through an intro to the In this episode of Alexa's Input (AI), I sat down with Rob Shaw from ⁠

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  • In this quick virtual lightboard video, we walk through an intro to the
  • In this episode of Alexa's Input (AI), I sat down with Rob Shaw from ⁠
  • Join us at our next Flagship Conference: KubeCon + CloudNativeCon events in Amsterdam, The Netherlands ...
  • Scaling LLMs to production introduces critical challenges: How do you orchestrate

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Supporting Media Notes

Llm-d: Multi-Accelerator LLM Inference on Kubernetes - Erwan Gallen, Red Hat
LLM‑D Explained: Building Next‑Gen AI with LLMs, RAG & Kubernetes
How vLLM and llm-d Changed AI Inference with Rob Shaw
vLLM vs. llm-d: Red Hat Deep Dive
Distributed inference with llm-d’s “well-lit paths”
Introducing llm-d: Distributed AI Inference on Kubernetes
Large Scale Distributed LLM Inference with LLM D and Kubernetes by Abdel Sghiouar
vLLM vs llm-d: Red Hat’s Approach to Distributed AI Serving
EP 7 Highlights | Build Enterprise Worthy LLM Inference with Open Source and Kubernetes
Introduction to llm-d Distributed Inference on Kubernetes
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Llm-d: Multi-Accelerator LLM Inference on Kubernetes - Erwan Gallen, Red Hat Introduction to llm-d Distributed Inference on Kubernetes How vLLM and llm-d Changed AI Inference with Rob Shaw Fixing Kick Chat Logs Issues: Top Causes And Step-by-Step Troubleshooting Guide vLLM vs llm-d: Red Hat’s Approach to Distributed AI Serving Even This Shall Pass Examples: Practical Use Cases For Building Mental Toughness

Useful Guides

EP 7 Highlights | Build Enterprise Worthy LLM Inference with Open Source and Kubernetes Introducing llm-d: Distributed AI Inference on Kubernetes LLM‑D Explained: Building Next‑Gen AI with LLMs, RAG & Kubernetes Best Project Management Tools: Features, Benefits, Examples, And Practical Tips Lld Examples: Unlocking Best Practices And Real-World Applications

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Large Scale Distributed LLM Inference with LLM D and Kubernetes by Abdel Sghiouar Distributed inference with llm-d’s “well-lit paths” Features And Benefits: Unlocking Practical Examples And Productivity Tips Kenapa Dolar Sekarang Menguat Dan Rupiah Anjlok Kick Chat Logs: Common Use Cases And Strategies For Effective Communication
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Llm-d: Multi-Accelerator LLM Inference on Kubernetes - Erwan Gallen, Red Hat

Llm-d: Multi-Accelerator LLM Inference on Kubernetes - Erwan Gallen, Red Hat

Don't miss out! Join us at our next Flagship Conference: KubeCon + CloudNativeCon events in Amsterdam, The Netherlands ...

LLM‑D Explained: Building Next‑Gen AI with LLMs, RAG & Kubernetes

LLM‑D Explained: Building Next‑Gen AI with LLMs, RAG & Kubernetes

Ready to become a certified Administrator - IBM Cloud Pak for Business Automation? Register now and use code IBMTechYT20 ...

How vLLM and llm-d Changed AI Inference with Rob Shaw

How vLLM and llm-d Changed AI Inference with Rob Shaw

In this episode of Alexa's Input (AI), I sat down with Rob Shaw from ⁠

vLLM vs. llm-d: Red Hat Deep Dive

vLLM vs. llm-d: Red Hat Deep Dive

Read more details and related context about vLLM vs. llm-d: Red Hat Deep Dive.

Distributed inference with llm-d’s “well-lit paths”

Distributed inference with llm-d’s “well-lit paths”

Large language models like DeepSeek-R1 need a large amount of parameters to perform complex tasks, creating the need for a ...

Introducing llm-d: Distributed AI Inference on Kubernetes

Introducing llm-d: Distributed AI Inference on Kubernetes

Read more details and related context about Introducing llm-d: Distributed AI Inference on Kubernetes.

Large Scale Distributed LLM Inference with LLM D and Kubernetes by Abdel Sghiouar

Large Scale Distributed LLM Inference with LLM D and Kubernetes by Abdel Sghiouar

Running Large Language Models (LLMs) locally for experimentation is easy but running them in large scale architectures is not.

vLLM vs llm-d: Red Hat’s Approach to Distributed AI Serving

vLLM vs llm-d: Red Hat’s Approach to Distributed AI Serving

Read more details and related context about vLLM vs llm-d: Red Hat’s Approach to Distributed AI Serving.

EP 7 Highlights | Build Enterprise Worthy LLM Inference with Open Source and Kubernetes

EP 7 Highlights | Build Enterprise Worthy LLM Inference with Open Source and Kubernetes

Scaling LLMs to production introduces critical challenges: How do you orchestrate

Introduction to llm-d Distributed Inference on Kubernetes

Introduction to llm-d Distributed Inference on Kubernetes

In this quick virtual lightboard video, we walk through an intro to the