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Benchmarking enterprise LLMs on AMD GPUs with Red Hat AI Inference and Podman

Benchmarking enterprise LLMs on AMD GPUs with Red Hat AI Inference and Podman

by Evgenii Dushkin, Ryan Malone, Maryam Tahhan | Sep 28, 2026 | AI

Deploying large language models (LLMs) on enterprise hardware requires a balance of reproducibility, security, and performance. Accurately benchmarking model performance under production-like workloads is both challenging and crucial for optimizing infrastructure...
Expanding AI beyond text: an introduction to vLLM-Omni

Expanding AI beyond text: an introduction to vLLM-Omni

by Ricardo Noriega De Soto | Jun 30, 2026 | AI

AI models no longer just read and write text. The latest generation of open source models—Qwen3-Omni, Hunyuan-Image3, MiMo-Audio—can reason across text, images, audio, and video simultaneously, generating rich multimodal outputs from a single prompt. But the...

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