NVIDIA announced multi-device inference support in TensorRT, enabling scaling of generative AI workloads across multiple GPUs while preserving production optimizations like kernel fusions, memory planning, and quantization.

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NVIDIA TensorRT Now Supports Multi-Device Inference for Scaling Generative AI

Overview

FAQ

What is NVIDIA TensorRT?

NVIDIA TensorRT is an AI inference optimizer that accelerates deep learning model deployment in production.

What's new in this TensorRT release?

It adds multi-device inference support, allowing distribution of generative AI workloads across multiple GPUs.

How does this benefit Middle East data centers?

It enables scaling of generative AI models with higher efficiency, reducing costs and increasing throughput.

Does the update preserve existing TensorRT optimizations?

Yes, it maintains optimizations like kernel fusions, memory planning, and quantization for high production performance.

Source: NVIDIA Developer (AI)

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