Data Center / Cloud Deploying Disaggregated LLM Inference Workloads on Kubernetes Mar 23, 2026 By Anish Maddipoti , Sanjay Chatterjee , Rohan Varma and Ekin Karabulut Discuss 0 Discuss 0 L T F R E AI-Generated Summary Like Dislike Disaggregated LLM inference architectures separate prefill, decode, … …
… It uses accelerated vision-based microservices, vision-language models VLMs , large language models LLMs , and retrievers for real-time video intelligence, agentic search, and automated reporting. …
… Once dispatched, SGLang, vLLM, and TRT-LLM may interpret engine priority differently, so Dynamo normalizes the engine-facing value per backend. …
… Learn more Computer-aided engineering CAE is shifting from human-driven workflows toward AI-driven ones, including physics foundation models that generalize across geometries and operating conditions. Unlike LLMs, these models depend on large volumes of high-fidelity, physics-compliant data. …
… His current focus is on AI-driven GPU kernels and next-generation programming models for accelerated computing. …