Also it says you “may see noticeable gains even with older NVIDIA GPUs. “ new NVIDIA RTX laptops from the world’s leading computer manufacturers, including Dell, Razer, Acer, Alienware, ASUS, Gigabyte, HP, Lenovo, MSI and Samsung, provide real-time playback at up to 8K and offer flexibility in choosing the right tools to fit a variety of budgets,” says RED.Īdditionally, RED says you can get more performance boost with multi-GPU configurations. They obviously have to be paired with a moderately configured PC as well. The 8K playback performance is available with NVIDIA Quadro RTX 60, GeForce RTX 2080 Ti, and TITAN RTX GPUs. Improvement efficiencies and quality control within the content review process.Up to 10x faster transcoding, depending on the format and content.8K real-time 30 fps or greater playback performance.What are the direct benefits of using the RED R3D SDK with the REDCINE-X PRO software? You should now see faster encoding and time savings on projects. It requires a lot of CPU processing power to decode. However, the files have to be decoded before playing back or encoding. Refer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features.When RED rolled out RED Code RAW - a wavelet based codec - it made 4K capture possible back in 2007 and makes it possible to capture 8K on the current lineup of cameras. * Virtual channel-related camera information for Jetson AGX Orin is not final and subject to change. Up to 2 x8, 1 x4, 2 x1 PCIe Gen4 (Root Port and Endpoint)ġx 8K60 multi-mode DP 1.4a (+MST)/eDP 1.4a/HDMI 2.1Ĥx UART, 3x SPI, 4x I2S, 8x I2C, 2x CAN, DMIC & DSPK, GPIOs NVIDIA Ampere architecture with 2048 NVIDIA CUDA® cores and 64 tensor coresĨ-core Arm® Cortex®-A78AE v8.2 64-bit CPUġ2-core Arm® Cortex®-A78AE v8.2 64-bit CPU NVIDIA Ampere architecture with 1792 NVIDIA CUDA® cores and 56 tensor cores NVIDIA JETSON AGX ORIN SERIES MODULES TECHNICAL SPECIFICATION Together with the world-standard NVIDIA AI software stack and an ecosystem of services and products, your road to market has never been faster. Jetson Orin modules are unmatched in performance and efficiency for robots and other autonomous machines, and they give you the flexibility to create the next generation of AI solutions with the latest NVIDIA GPU technology. They can also help with cameras and other sensors, as well as carrier boards and design services for your product. Jetson ecosystem partners offer additional AI and system software, developer tools, and custom software development. You can also save significant time with NVIDIA Omniverse™ Replicator for synthetic data generation (SDG), and with NVIDIA TAO Toolkit for fine-tuning pretrained AI models from the NGC™ catalog. ffmpeg -y -vsync 0 -hwaccel cuda -hwacceloutputformat cuda resize 1280x720 -i input.mp4 -c:a copy -c:v h264nvenc -b:v 5M output. The following command uses the built in resizer in cuvid decoder. Jetson runs the NVIDIA AI software stack, and use case-specific application frameworks are available, including NVIDIA Isaac™ for robotics, DeepStream for vision AI, and Riva for conversational AI. The following command reads file input.mp4 and transcodes it to output.mp4 with H.264 video at 720p resolution and with the same audio codec. Now, you can develop solutions using your largest and most complex AI models to solve problems such as natural language understanding, 3D perception, and multi-sensor fusion. These system-on-modules support multiple concurrent AI application pipelines with an NVIDIA Ampere architecture GPU, next-generation deep learning and vision accelerators, high-speed IO, and fast memory bandwidth. This gives you more than 8X the performance of Jetson AGX Xavier™ in the same compact form-factor for robotics and other autonomous machine use cases. NVIDIA® Jetson AGX Orin™ series modules deliver up to 275 TOPS of AI performance with power configurable between 15W and 60W. Discover the most powerful AI computer for energy-efficient autonomous machines.
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