Yamaha Motor Selects NVIDIA Jetson AGX Xavier

Artificial Intelligence, Robotics, CUDA, cuDNN, Jetson, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Sep 12 2018

Yamaha Motor just announced they selected the NVIDIA Jetson AGX Xavier platform as the development system to power their upcoming lineup of autonomous machines in agriculture, logistics, marine products, and last mile-transportation.

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NVIDIA Jetson AGX Xavier Developer Kit Now Available

Artificial Intelligence, Features, Robotics, Computer Vision & Machine Vision, Development Tools & Libraries, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Sep 12 2018

Today at GTC Japan, we introduced a family of systems for autonomous machines: NVIDIA AGX. This includes DRIVE AGX for self-driving cars, Jetson AGX for robotics and smart cities and Clara AGX for healthcare.

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NVIDIA DGX-2 AI Supercomputer and New Tesla T4 Set Image Recognition Records for Training and Inference

Artificial Intelligence, Features, Cloud, Machine Learning & Artificial Intelligence, TensorRT, Tesla

Nadeem Mohammad, posted Sep 12 2018

Earlier this year, we talked about performance breakthroughs enabled by two new technologies we developed. Related to data augmentation and tensor parameter interleaving, these technologies enabled a single Tesla V100 GPU to do a ResNet-50 trainin

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Fujifilm Becomes First Company in Japan to Adopt the NVIDIA DGX-2 Supercomputer

Accelerated Computing, Artificial Intelligence, Cluster/Supercomputing, Computer Vision & Machine Vision, Healthcare & Life Sciences, Machine Learning & Artificial Intelligence, Medical Imaging

Nadeem Mohammad, posted Sep 12 2018

Fujifilm has become the first company in Japan to adopt the NVIDIA DGX-2 AI supercomputer for their AI development in healthcare, medical imaging, and its highly functional materials for displays.

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NVIDIA TensorRT Inference Server Boosts Deep Learning Inference

Artificial Intelligence, Cloud Services, Containers, Deep Learning, Featured, GPU, machine learning and AI, NGC, TensorRT, TensorRT Inference Server

Nadeem Mohammad, posted Sep 12 2018

You’ve built, trained, tweaked and tuned your model. You finally create a TensorRT, TensorFlow or ONNX model that meets your requirements. Now you need an inference solution, deployable to a datacenter or to the cloud.

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