NVIDIA Introduces TensorRT Multi-Device Inference for Multi-GPU Model Execution
AI-assisted summary of Simplifying Model Serving Across Multiple GPUs with NVIDIA TensorRT Multi-Device Integration in NVIDIA Dynamo-Triton — original source.
Article summary — original
NVIDIA Introduces TensorRT Multi-Device Inference for Multi-GPU Model Execution
NVIDIA TensorRT multi-device inference allows a single TensorRT network to run across multiple GPUs using NCCL-backed distributed collectives.
The feature addresses generative AI compute and memory demands that exceed single-GPU limits while retaining TensorRT inference optimizations.
TensorRT multi-device inference is fully supported starting with TensorRT 11.0.
Article summary — zh
NVIDIA 推出 TensorRT 多设备推理功能
针对生成式 AI 算力与显存超出单 GPU 承载能力的挑战，NVIDIA 引入了 TensorRT 多设备推理功能。
该功能允许单个 TensorRT 网络通过 NCCL 支持的分布式集合通信跨多个 GPU 运行。
在跨卡执行的同时，它保留了 TensorRT 的推理优化特性。
Saved original article
The compute and memory demands of generative AI increasingly exceed what a single GPU can provide. NVIDIA TensorRT multi-device inference is a new capability that enables a single TensorRT network to execute across multiple GPUs using NCCL-backed distributed collectives while retaining TensorRT inference optimizations. It is fully supported starting with TensorRT 11.0.