vLLM TPU’s Unified Backend is Revolutionizing LLM Inference The latest vLLM TPU release is enabling developers to run open-source LLMs on TPUs with unmatched performance and flexibility. Powered by the tpu-inference backend, this innovation ensures a smooth, h... attention kernels JAX LLM inference open source PyTorch TPU tpu-inference vLLM
Agent Lightning: Decoupled RL Training for Any AI Agent Agent Lightning is a Microsoft Research project that turns existing agents into trainable systems with minimal code changes. Instead of rewriting your agent to fit a trainer loop, you attach a lightwe... AI agents AutoGen DPO LangGraph OpenAI Agents reinforcement learning RLHF VERL vLLM
Qwen3-Omni: Native Any-to-Any Multimodality, Now Practical Qwen3-Omni is a natively end-to-end, multilingual, omni-modal foundation model from the Qwen team at Alibaba Cloud. It can understand text, images, audio, and video, and respond in real time with both... ASR Docker multimodal Omni Qwen Qwen3 speech Transformers vLLM
vLLM Is Transforming High-Performance LLM Deployment Deploying large language models at scale is no small feat, but vLLM is rapidly emerging as a solution for organizations seeking robust, efficient inference engines. Originally developed at UC Berkeley... AI inference GPU optimization Kubernetes large language models memory management model deployment vLLM