NVIDIA is a technology company, primarily known for its design and manufacturing of Graphics Processing Units (GPUs) and other high-performance computing solutions. While famous for their GPUs used in gaming and AI development, NVIDIA's role in the space industry is growing through partnerships. They provide AI and accelerated computing to companies like Sierra Space for space domain awareness and Spire for AI weather projects, and Lumen Orbit for AI-powered space based data centers. NVIDIA's technology enables advanced image analysis, AI, and real-time predictions for space-related applications, with their products even being tested for space-hardening to operate in harsh environments.
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Orbits Edge partnered with Hewlett Packard, AWS, NVIDIA, Red Hat, and Milky Way Economy to create high-performance computing datacenters intended to be launched into Low Earth Orbit.
Driver 2.0 uses a proprietary low-energy consumption computing platform and inference engine combined with NVIDIA DRIVE Orin SoCs to meet automotive-grade standards for series production more quickly.
AIKOS.r.l. develops and deploys AI on edge devices and has worked with AI accelerators including the Intel Myriad X, the NVIDIA Jetson, and the Google Coral.
Aitech's S-A1760 Venus™ is an NVIDIA-based AI GPGPU supercomputer and the smallest, most powerful space-rated subsystem available, reaching 1 TFLOPS of processing power.
DeepRoute.ai unveiled a computing platform based on the NVIDIA DRIVE Xavier SoC at CES 2020 that offered Level 4 autonomous driving at roughly half the cost of traditional solutions.
NVIDIA has played an integral part in the development of DeepRoute.ai’s technology since the company was established in 2019.
DeepRoute-Driver 2.0 will meet automotive-grade requirements after upgrading to the NVIDIA DRIVE Hyperion architecture.
Nvidia is investing USD 10 million in Serve Robotics.
Jaguar Land Rover will use in-house data centre solutions with NVIDIA DGX systems for training AI models.
The JiDU intelligent driving system is powered by Baidu’s autonomous driving computing platform using NVIDIA DRIVE Orin.
ArduSimple's new kits offer a triple-band Real-Time Kinematic (RTK) solution for development platforms such as Arduino, STM Nucleo, Raspberry Pi, Ardupilot, and Nvidia Jetson.
ArduSimple is bringing to market triple-band RTK as a plug-and-play solution for popular development platforms like Arduino, STM Nucleo, Raspberry Pi, Ardupilot, and Nvidia Jetson.
Epic Games, NVIDIA, Microsoft, and Cesium created Project Anywhere as a proof of concept for a scalable real-time interactive simulation environment at vIITSEC at the end of 2020.
The S-A1760 Venus is a size, weight, and power optimized small form factor system based on the NVIDIA Jetson TX2i system-on-module that features the Pascal architecture with 256 CUDA cores and achieves 1 TFLOPS of processing.
The NVIDIA Jetson TX2i SoM in the S-A1760 Venus features the Pascal architecture with 256 CUDA cores and reaches 1 TFLOPS of processing.
AEye’s intelligent, adaptive LiDAR will be supported on the NVIDIA DRIVE platform to provide autonomous vehicle developers access to next-generation tools for increasing the saliency and quality of collected data.
AEye, Inc. is working with NVIDIA to bring AEye’s adaptive, intelligent sensing to the NVIDIA DRIVE autonomous vehicle platform.
NVIDIA DRIVE is an open, end-to-end platform supporting Level 2+ automated driving through Level 5 fully autonomous driving.
Velodyne gains access to NVIDIA’s partner ecosystem to support lidar-based solution development through NVIDIA Metropolis membership.
NVIDIA has agreed to acquire DeepMap, a startup dedicated to building high-definition maps for autonomous vehicles.