Hardware
Scaling AI Inference Across Multiple GPUs Using NVIDIA TensorRT with Multi-Device Inference Support
NVIDIA TensorRT's multi-device inference feature scales inference across multiple GPUs, enabling deployment of models that exceed single-GPU memory or reducing latency for memory-bound workloads. Each
NVIDIA TensorRT's multi-device inference feature scales inference across multiple GPUs, enabling deployment of models that exceed single-GPU memory or reducing latency for memory-bound workloads. Each GPU runs its own instance of the TensorRT engine and exchanges intermediate tensors with other ranks using distributed collective primitives. The feature relies on NVIDIA NCCL to support these multi-device workflows.
Source: NVIDIA Developer | 2026-06-25