Tag: autonomous machines

Autonomous Vehicles

Sharing CUDA Resources Through Interoperability with NvSciBuf and NvSciSync

Figure 1. Various hardware engines on the NVIDIA embedded platform. There is a growing need among embedded and HPC applications to share resources and control… 13 MIN READ
Autonomous Machines

GPUDirect RDMA on NVIDIA Jetson AGX Xavier

Remote Direct Memory Access (RDMA) allows computers to exchange data in memory without the involvement of a CPU. The benefits include low latency and high… 8 MIN READ
Autonomous Vehicles

Point Cloud Processing with NVIDIA DriveWorks SDK

The NVIDIA DriveWorks SDK contains a collection of CUDA-based low level point cloud processing modules optimized for NVIDIA DRIVE AGX platforms. 8 MIN READ

JetPack 3.1 Doubles Jetson’s Low-Latency Inference Performance

Today, NVIDIA released JetPack 3.1, the production Linux software release for Jetson TX1 and TX2. With upgrades to TensorRT 2.1 and cuDNN 6.0, JetPack 3. 7 MIN READ
AI / Deep Learning

NVIDIA Jetson TX2 Delivers Twice the Intelligence to the Edge

Today at an AI meetup in San Francisco, NVIDIA launched Jetson TX2 and the JetPack 3.0 AI SDK. Jetson is the world’s leading low-power embedded platform… 18 MIN READ

JetPack 2.3 with TensorRT Doubles Jetson TX1 Deep Learning Inference

Deep Neural Networks (DNNs) are a powerful approach to implementing robust computer vision and artificial intelligence applications. NVIDIA Jetpack 2.3… 13 MIN READ