TorchAO: A PyTorch-Native Shortcut To Smaller, Faster Models TorchAO is PyTorch's native toolkit for model efficiency: it unifies post-training quantization (PTQ), quantization-aware training (QAT), float8 (FP8) training, and structured sparsity in one coherent... deep learning FP8 model efficiency open source PyTorch QAT quantization sparsity TorchAO
Smarter LLMs: How the vLLM Semantic Router Delivers Fast, Efficient Inference Large language models are evolving rapidly. Instead of simply increasing their size, innovators now focus on maximizing efficiency, reducing latency, and assigning compute resources according to query... enterprise AI Kubernetes latency optimization LLM inference model efficiency open source AI semantic routing
Qwen3-Next and vLLM: Advancing Efficient Long-Context AI with Hybrid Architecture AI is evolving rapidly, and efficiency is key for effective large-scale deployment. Qwen3-Next, the latest model from the Qwen team, pushes the boundaries with a hybrid architecture purpose-built for ... GPU optimization hybrid attention long-context AI model efficiency MoE multi-token prediction Qwen3-Next vLLM integration