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TensorRT Edge-LLM Completes the MLPerf Edge Agentic Benchmark 6.4x Faster on Jetson ...
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Fusion42 · 17 September 2026 · Fusion42 review
NVIDIA's TensorRT Edge-LLM running Qwen3.6-27B on Jetson AGX Thor completed the MLPerf Edge Agentic benchmark 6.4x faster than the llama.cpp reference, achieving 52.33 tokens per second with high accuracy using NVFP4 quantization and other optimizations.
This Wire brief sits within Fusion42's coverage of AI Infrastructure and MLOps.
◆ ◆ The Wire takeaway
You can cut AI inference time on edge devices by over six times using NVFP4 quantization and cache reuse, opening fast multi-turn agentic AI to constrained hardware like Jetson AGX Thor. Start experimenting with these optimizations now to outpace competitors running standard models.
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1 source · 16 Sep 2026
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