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NVIDIA released open-source C++ samples that pair ONNX Runtime with the TensorRT RTX execution provider, letting developers run AI models locally on RTX hardware instead of relying fully on the cloud.

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NVIDIA Releases C++ TensorRT RTX Samples for Local AI Inference

What's new?

FAQ

What are NVIDIA's TensorRT RTX samples?

They are an open-source collection of C++ samples that combine ONNX Runtime with the TensorRT RTX execution provider, aimed at helping developers run models locally on RTX hardware.

Why does local inference matter for regional tech teams?

Local inference reduces cloud dependency, can lower latency, and helps keep data on-premises, which matters for government and enterprise users in the region.

Do these samples replace cloud solutions?

No. They are an additional option for local inference on RTX hardware and can be used alongside cloud solutions depending on performance and privacy needs.

Should regional development teams adopt them now?

If teams build C++ applications that need local inference on RTX hardware, these samples offer a practical starting point, though performance should be tested on the target hardware.

Source: NVIDIA Developer (AI)

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