AI Briefing#tensorrt-llm
The latest AI and developer news about #tensorrt-llm, with the original source and a short summary.
The latest AI and developer news about #tensorrt-llm, with the original source and a short summary.
The collaboration delivers up to 54% cost reduction for beam search workloads on Qwen3 1.7B models.
NVIDIA Vera Rubin NVL72 took the lead in MLPerf Inference v6.1, recording up to 3.7x the throughput of the GB300.
NVIDIA has released Model Optimizer, which integrates six optimization techniques including quantization and pruning to support checkpoint generation for inference engines such as vLLM and TensorRT-LLM.
NVIDIA is dramatically lowering the cost per token in AI inference through its Blackwell platform and optimized software stack.
The Dell Pro Max GB10 ran a 70B-class LLM locally in real time using 128GB of unified memory.
NVIDIA NIM enables fast and stable deployment of over 100,000 LLMs from Hugging Face.
Hugging Face's TGI is introducing a multi-backend architecture that supports various inference engines such as vLLM and TensorRT-LLM.
Hugging Face has launched the Optimum-NVIDIA library, which speeds up LLM inference by up to 28x on NVIDIA platforms.