NVIDIA UNVEILS THE NEW AI BRAIN FOR MACHINES AND A CHEAPER JETSON TX2

Nvidia, is one of those companies that never ceases to amaze me. I have to say that they have technically monopolized the GPU ecosystem and now Nvidia is gaining (if not already) for a new crown ā€“Ā AI on the Edge.

NVIDIA UNVEILS THE NEW AI BRAIN FOR MACHINES AND A CHEAPER JETSON TX2

AI in the cloud has been the buzz ever since, enabling numerous application to be able to achieve Artifical intelligence capabilitiesĀ without much effort. Of course, this is a good idea, and multiple players are gaining for this. I believe cloud computing is great ā€“ but it alone isnā€™t enough. So many things come into place here, centralization, privacy (who really controls the data), security, and most crucial physics (there is a limit of the data we can receive and push). ButĀ AI on the EdgeĀ brings a different dimension to this, you indeed have control of so many things and most importantly build to your imagination.

With AI on the Cloud, we put critical assets and infrastructure at risk of attack and might not even get the performance we geared for especially in the case of autonomousĀ machines. However, Nvidia has been pushing for edge infrastructureĀ to enable AI on the Edge with its numerous arrays of AI enabled hardware, but the unveiling of theĀ Jetson AGX Xavier Modulewill be a total game changer. It promises to give robots and other intelligent machines the processing juice they will ever need for their AI brains.

Nvidia announced theĀ Xavier platform earlier this yearĀ and has now added the AGX to the Jetson Xavier name. The AGX Xavier module is built around theĀ Xavier system-on-chipĀ which relies on six processors to get its work done, includingĀ a 512-core Nvidia Volta Tensor Core GPU, an eight-core Carmel Arm64 CPU, two NVDLA deep-learning chips, and dedicated image, vision, and video processors. Here comes the impressive part of it; theĀ AGX XavierĀ module delivers up to 32 TOPS (30 trillion computing operations per second) of accelerated computing capability while consuming under 30 Watts. Thatā€™s more thanĀ 20X the performance and 10X the energy efficiency of theĀ Jetson TX2.Ā Users can configure operating modes at 10W, 15W, and 30W as needed.

Read more:Ā NVIDIA UNVEILS THE NEW AI BRAIN FOR MACHINES AND A CHEAPER JETSON TX2


About The Author

Ibrar Ayyub

Ibrar Ayyub is an experienced technical writer with a Master's degree in computer science from BZU Multan University. He has written for various industries, mainly home automation, and engineering. He has a clear and simple writing style and is skilled in using infographics and diagrams. He is a great researcher and is able to present information in a well-organized and logical manner.

Follow Us:
LinkedinTwitter
Scroll to Top