Search results for "Nvidia"

Neousys Technology announced that its intelligent frame grabber card PCIe-NX154PoE was recognised among the best in machine vision today by the judges of the Vision Systems Design 2023 Innovators Awards programme.

Aetina has showcased its new embedded computers, AI inference platforms, GPUs, AI accelerators, and Edge devices management software at embedded world 2023.

NVIDIA has introduced NVIDIA DRIVE Thor, its next-gen centralised computer for safe and secure autonomous vehicles.

Getac has announced the launch of its next generation B360 and B360 Pro fully rugged laptops, delivering exceptional connectivity, reliability, and computing performance to professionals working in challenging environments every day.

ADLINK Technology Inc. will be at embedded world 2023 to showcase its responses to trends in the embedded market.

FRAMOS announced the launch of a new development kit for vision system engineers who are working to develop Time-of-Flight devices for industrial and robotics applications.

Advantech’s ARK-7060 is a Edge computer with multiple expansion slots and data transfer speeds that empower edge data servers, AOI visual inspection, and AI vision equipment applications. It is equipped with Intel Xeon D-1700 series processors up to 10 cores at 67W and 4 x DDR4 SODIMM sockets that support up to 128GB. ARK-7060 offers 2 x GbE, 4 x USB 3.0, 4 x COM ports for diverse device connections.

e-con Systems launches DepthVista_MIPI_IRD, a 3D Time of Flight (ToF) camera for NVIDIA Jetson AGX Orin / AGX Xavier with outdoor robustness.

Visitors to Embedded World 2023 will find Advantech in Hall 3, Booth 339, where they will see live demonstrations that show how to leverage the full advantages of AI at the Edge. Here, the Advantech AIR-030, an ultra-compact Edge AI system powered by the NVIDIA Jetson Orin module series, will take centre stage. The company will also shine the spotlight on a number of individual high-performance products for multi-stream Edge applications, includi...

The need for testing and the effort required for the validation of self-driving cars is continuously increasing and placing ever higher demands on the performance of simulation solutions.