Scaling AI Inference Across Multiple GPUs Using NVIDIA TensorRT with Multi-Device Inference Support
NVIDIA TensorRT adds multi-device inference support to scale generative AI across multiple GPUs without losing optimizations.
“Generative AI workloads are rapidly outgrowing the memory and compute budget of single GPUs.”
NVIDIA published a developer blog detailing TensorRT's new multi-device inference support, letting developers scale media generation pipelines across multiple GPUs while retaining kernel fusion, memory planning, and quantization optimizations. It addresses single-GPU memory and compute limits for production generative AI deployments, but is a vendor-specific engineering update rather than a major industry signal.