· ai
Accelerating Large Language Model Decoding with Speculative Sampling
Imagine getting answers from a large language model almost twice as fast. Researchers use a small, quick helper that writes a few words ahead, then the big mode...
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- · ai
UC San Diego Lab Advances Generative AI Research With NVIDIA DGX B200 System
UC San Diego Lab Advances Generative AI Research With NVIDIA DGX B200 System December 17, 2025 by Zoe Kesslerhttps://blogs.nvidia.com/blog/author/zoekessler/ !...
- · ai
From Theory to Practice: Demystifying the Key-Value Cache in Modern LLMs
Introduction — What is Key‑Value Cache and Why We Need It? !KV Cache illustrationhttps://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgra...
- · ai
[Paper] Automated Dynamic AI Inference Scaling on HPC-Infrastructure: Integrating Kubernetes, Slurm and vLLM
Due to rising demands for Artificial Inteligence (AI) inference, especially in higher education, novel solutions utilising existing infrastructure are emerging....
- · devops
[Paper] A Dynamic PD-Disaggregation Architecture for Maximizing Goodput in LLM Inference Serving
To meet strict Service-Level Objectives (SLOs),contemporary Large Language Models (LLMs) decouple the prefill and decoding stages and place them on separate GPU...