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Home/Tech/NVIDIA says 5G and 6G tool downloads surpassed 1 million
VERIFIEDBy Xavier Rivera·Friday, November 6, 2026 at 12:18 PM AST·1 min read

NVIDIA says 5G and 6G tool downloads surpassed 1 million

NVIDIA says adoption of AI Aerial and Sionna grew 10x over the past year, and that its open-source 5G and 6G tools have surpassed 1 million downloads.

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NVIDIA says 5G and 6G tool downloads surpassed 1 million
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TL;DRAI · 60 sec read

NVIDIA says adoption of AI Aerial and Sionna grew 10x over the past year, with more than 8,000 institutions using the platforms. It says open-source 5G and 6G tools have surpassed 1 million downloads. The blog also describes outside tests, including a robot-task time cut of up to 52.6 percent.

NVIDIA says global developer adoption of NVIDIA AI Aerial and NVIDIA Sionna grew 10x over the past year, and that its open-source 5G and 6G tools have surpassed 1 million downloads.
It says it open-sourced its Aerial wireless software a year ago.
More than 8,000 institutions are using the platforms. NVIDIA says more than 8,000 research and academic institutions worldwide are using them. It says it open-sourced its Aerial wireless software a year ago.
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The blog describes a robot-arm test at King's College London. Researchers connected a camera-equipped robot arm to an NVIDIA Jetson AGX Orin running Sionna. The blog says the approach reduced robot task completion time by up to 52.6 percent compared with sending periodic images.
Researchers connected a camera-equipped robot arm to an NVIDIA Jetson AGX Orin running Sionna.
SoftBank tested a neural receiver. NVIDIA's blog says SoftBank integrated a neural receiver into NVIDIA Aerial CUDA-Accelerated RAN and tested it with a commercial 5G smartphone. In controlled tests with interference, it delivered higher uplink throughput than a conventional receiver at all 15 tested settings, with a maximum gain of roughly 60 percent.
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Two other results are in the same post. The blog says University of Leeds researchers reported a 45.6 percent reduction in radio-access-network power consumption relative to a full-power baseline while maintaining device connectivity. It says an early evaluation at the Centre Tecnològic de Telecomunicacions de Catalunya cut simulation runtime from approximately three hours to 10 to 20 minutes.
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