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3 results for “Jetson AGX Thor”

NVIDIA's TensorRT Edge-LLM Runs Qwen3.6-27B 6.4x Faster in MLPerf Edge Agentic
Technology 17 Sep 2026

NVIDIA's TensorRT Edge-LLM Runs Qwen3.6-27B 6.4x Faster in MLPerf Edge Agentic

NVIDIA says TensorRT Edge-LLM ran Qwen3.6-27B through the MLPerf Edge Agentic workload in 24 minutes 36 seconds on one Jetson AGX Thor. The 6.4x gap over llama.cpp puts long-context agent inference on edge.

NVIDIA Vera Rubin NVL72 debuts in MLPerf Inference v6.1 with up to 3.7x throughput over GB300 NVL72
Technology 16 Sep 2026

NVIDIA Vera Rubin NVL72 debuts in MLPerf Inference v6.1 with up to 3.7x throughput over GB300 NVL72

NVIDIA submitted its first MLPerf Inference v6.1 preview results for Vera Rubin NVL72, showing up to 3.7x higher throughput than GB300 NVL72 on Qwen3-VL. The numbers signal a leap for rack-scale inference on MoE models.

NVIDIA Unveils Jetson Thor T3000 and T2000 Modules for Robotics and Edge AI
Technology 16 Jul 2026

NVIDIA Unveils Jetson Thor T3000 and T2000 Modules for Robotics and Edge AI Correction

NVIDIA has introduced two new Jetson Thor modules aimed at bringing more capable AI workloads to robots and edge devices. The Jetson T3000 and T2000 are designed for systems that need to process vision, language and sensor data locally.

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