In the news
Build Local AI Apps with C++ and NVIDIA TensorRT RTX Samples
NVIDIA Developer · Published · 3 min read
In 30 seconds
- What happened
- NVIDIA released DIN Deploy, open-source C++ samples combining ONNX Runtime with TensorRT RTX for local AI inference on Windows and Linux.
- Why it matters
- Engineers building local AI applications need portable model formats and hardware acceleration across different target systems and devices.
- Watch out
- Performance gains are hardware-dependent and measured on specific DGX Spark systems; results may vary significantly on different RTX GPUs or configurations.
- inference
The patterns behind this
- Local-Distant Agent Data Protection Pattern
- Generative UI (Agent-Rendered Interfaces)
- Hybrid Secret & Cache Management Pattern
Each one covers how the technique works, when it earns its cost, and where it breaks.
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