NVIDIA Launches NIM Agentic Framework and AITune Toolkit for Optimized AI Inference

NVIDIA released the NIM Agentic Framework, delivering 5x throughput gains for reasoning-heavy AI agents through speculative decoding that pairs small draft models with larger verifier models. The framework integrates with TensorRT, TensorRT-LLM, vLLM, and SGLang across cloud, data center, and RTX AI PC deployments, with LangChain partnership signaling enterprise adoption pathways. Separately, NVIDIA launched AITune, an open-source inference toolkit that automatically identifies the fastest backend (TensorRT, Torch-TensorRT, TorchAO) for any PyTorch model while validating correctness, addressing the persistent gap between research models and production deployments. Additionally, NVIDIA unveiled its 'Rubin' AI chip platform with updated GPUs and new 'Vera' central processor, maintaining a one-year release rhythm to solidify market dominance.