#LLMServing

LoRA serving shares base-model weights, but each request must use the right adapter. Mixed-adapter batches need careful scheduling; cold loads cost latency, residency costs GPU memory. #LLMServing #LoRA

Explore the best open-source tools for serving LLMs on Kubernetes, from vLLM and SGLang to KServe, llm-d, NVIDIA Dynamo, SIE, and GPU autoscaling. #kubernetes #llmserving...Show more

🚨AI pros, ML engineers, and model trainers, pause for a sec! I just dug into @hyperbolic_labs 's latest blog on LLM serving frameworks, and it’s packed with insights for scaling AI. Let’s dive in! 🧵👇 #AI #MachineLearning #LLMServing #Tech

@DynamiqAGI has officially integrated with @SambaNovaAI, enabling lightning-fast LLM serving at 1,000 tokens per second for Llama 3.1 8B ⚡️ Even better, this powerful solution comes with on-premise hosting options 🔒 #LLMserving #Dynamiq #SambaNova #OnPremise

LLM serving is HOT at #ATC24 #OSDI24 this year! 12 papers on the topic (a 500% increase from 2023), including our work on power/energy-aware LLM serving. Thrilled to present and engage in discussions on this rapidly evolving field. Don't miss out! 🚀 #llmserving #LLMs