The Jetson AGX Orin Developer Kit has been upgraded with 64GB of memory. The performance is the same as the original 32GB Jetson AGX Orin Developer Kit, except for the memory. The price of the Jetson AGX Orin developer kit with 64GB of memory is $1999.
Both the growing number of sensors in cars and the growing need for ADAS and autonomy functions are pushing the car architecture toward more centralisation, which require to have an ADAS domain controller with a powerful SoC. By 2027 we estimate than around 5% of car shipped will have this centralized architecture.
As one of the most powerful fabless companies in the semiconductor industry, NVIDIA develops diverse products spanning gaming and professional vitalization to data center and automotive, providing both innovative solutions and high-performance hardware. With its robust capability of chip design, NVIDIA started to release several SoCs for ADAS from 2015 and has enjoyed partnerships with many big vehicle manufacturers since then.
In 2022, the ORIN SoC was officially released. This powerful chip consists of 17 billion transistors and delivers 200 TOPS. The SoC supports not only NVIDIA DRIVE as a central computing platform for EV, but also the Jetson AGX Orin Module embedded in robotic machines. As to the ADAS perspective, the Orin SoC aims at providing safe automated driving and L2 - L5 autonomy while achieving ISO 26262 ASIL-D. According to NVIDIA, the ORIN SoC has been used by several popular car brands to upgrade their autonomous performance and consequently enhance safety.
To reveal the details of the NVIDIA Orin SoC, this report features multiple analyses. One is a front-end construction analysis to reveal the key features of the Samsung 8nm process, and another is a back-end construction analysis for packaging structure. This report also includes a detailed study of the SoC die and its cross-sections. In addition, a complete analysis by using SEM and EDS cross-sections, material analyses, and delayering is included. Besides, CT-scan photos of the whole chip are shown, in order to have a general view of the SoC die package. Furthermore, the floor plan of the SoC die is presented in order to provide a clear view of IP blocks. Lastly, this report furnishes a complete cost analysis and a selling price estimation of the NVIDIA ORIN automotive SoC.
At the entry level, we have the original Jetson Nano Dev Kit. At the top end, we have the Jetson AGX Orin Kit. In the middle, what is most likely the sweet spot, is the new Jetson Orin Nano Dev Kit. Even though it has the name Nano in the title, to me this feels much more like a Jetson Xavier NX Dev Kit replacement.
Comparing the AGX Orin and Orin Nano charts, the Orin Nano appears to be 1/2 of an AGX Orin with some of the fancy bits removed. There are no Deep Learning Accelerators (NVDLA), or a vision accelerator. The memory is 128-bit on the Orin Nano, 256-bit on the AGX Orin with the resulting hit in bandwidth. Also, the hardware video encoder has been removed from the Orin Nano. More on that later.
The full development kit combines the Jetson Orin Nano module and the reference carrier board. The carrier board mounts to a plastic base. The plastic base holds two PCB antennas which attach to the wireless card which populates the M.2 Key E slot.
The size of the Jetson Orin Nano Developer Kit is 103 x 90.5 x 35 mm. It weighs in at 176 grams. If you plan on mounting the Developer Kit on a project, you will most likely not use the plastic base. Just be careful with the wireless card and antennas. Those rascals are easy to detach and very difficult to reattach.
The software provided with the review unit is pre-release. I can tell you that the CPU performance makes the the Orin Nano feel quite a bit faster than the Xavier NX. With that said, there were a little niggles here and there related to the release. This is normal, these will be ironed out by the time the kits begin shipping in mid-April.
There are three different variations of the production modules. Orin Nano is the entry into the Orin line, the Orin NX is mid range. Both of these are in the 260 pin SODIMM form factor. The AGX Orin is the most powerful, top of the line.
The NVIDIA Jetson Orin Nano Developer Kits will be available in April. You can pre-order now and get the first ones when they ship (recommended), or you can wait to buy them from stock next month. Thanks for reading!
Wait! This is not the $400 rectangular block that the Orin Developer has been shown as (for over a year.)
Seems the Orin Nano is a different, more expensive animal than the Orin Developer Kit is? Why would anyone get the Nano over the Orin, for $100 more? Or am I confused? Again?
Previously NVIDIA subsidized the Devkits and offered them at cost. In other words, the devkits were just about the same price as a production module alone. As an example, the Xavier NX devkits were $399 at introduction, the same price as the production module. That is no longer the case, which probably makes their 3rd party partners happier.
This follows the previous product lineup strategy, with the Orins replacing the Xaviers. The one difference is that there are three flavors of Orins in comparison to the Xaviers 2. Thanks for reading.
Not sure what to elaborate about here. The education page is at: -pricing
Typically people apply for the discount once the product begins shipping. A good place to get a more direct answer is on the official NVIDIA Jetson Orin Nano forum: -autonomous-machines/jetson-embedded-systems/jetson-orin-nano/632
Thanks for reading!
You are welcome. My understanding is that the USB Type-C port does not support video. You can ask at on the official NVIDIA Jetson Orin Nano forum where NVIDIA engineers answer questions: -autonomous-machines/jetson-embedded-systems/jetson-orin-nano/632
Thanks for reading!
I removed the plastic base, but despite my best efforts, also detached the antennas. It looks like they just press on. Is there some trick to reattach the rascals, or just try, try, again?
Does this type of connection have a name? I found the antennas for sale, but no instructions.
You should either install antennas, or remove the wifi card. Running the wifi card without antennas is generally a bad idea. The radios are designed to run with antennas, and can cause issues without them.
Even if I have wifi and blue-tooth turned off in settings? (It says I am in airplane mode, and displays the airplane icon.)
I do plan on re-installing the antennas at some point, as I may want to use wireless later, and it also bugs me that I pulled the wires off. But removing the card still causes me to have to remove the board from the case, so I may as well install the antennas instead, assuming I did not damage the connectors.
For years, AMR manufacturers have been designing robots by sourcing and integrating compute hardware, software and sensors in house. This time-consuming effort demands years of engineering resources, lengthens go-to-market pipelines and distracts from developing domain-specific applications.
Nova Orin offers a better way forward with tested, industrial-grade configurations of sensors, software and GPU-computing capabilities. Tapping into the NVIDIA AI platform frees developers to focus on building their unique software stack of robot applications.
The Nova Orin reference architecture designs are provided for specific use cases. There is one Orin-based design without safety-certified sensors, and one that includes them, along with a safety programmable logic controller. The third architecture has a dual Orin-based design that depends on vision AI for enabling functional safety.
Sensor support is included for stereo cameras, lidars, ultrasonic sensors and inertial measurement units. The chosen sensors have been selected to balance performance, price and reliability for industrial applications. The suite of sensors provides a multimodal diversity of coverage that is required for developing and deploying safe and collaborative AMRs.
The stereo cameras and fisheye cameras are custom designed by NVIDIA in coordination with camera partners. All sensors are calibrated and time synchronized, and come with drivers for reliable data capture. These sensors allow AMRs to detect objects and obstacles across a wide range of situations while also enabling simultaneous localization and mapping (SLAM).
The base OS includes drivers and firmware for all the hardware and adaptation tools, as well as design guides for integrating it with robots. Nova can be integrated easily with a ROS-based robot application.
The cloud-native data acquisition tools eliminate the arduous task of setting up data pipelines for the vast amount of sensor data needed for training models, debugging and analytics. State-of-the-art GEMs developed for Nova sensors are GPU accelerated with the Jetson Orin platform, providing key building blocks such as visual SLAM, stereo depth estimation, obstacle detection, 3D reconstruction, semantic segmentation and pose estimation.
Nova Orin also addresses the need to quickly create high-fidelity, city-scale 3D maps for indoor environments in the cloud. These generated maps allow robot navigation, fleet planning and simulation. Plus, the maps can be continuously updated using data from the robots.
Nova Orin supports secure over-the-air updates, as well as device management and monitoring, to enable easy deployment and reduce the cost of maintenance. Its open, modular design enables developers to use some or all capabilities of the platform and extend it to quickly develop robotics applications.
Improving productivity for factories and warehouses will depend on AMRs working safely and efficiently side by side at scale. High levels of autonomy driven by 3D perception from Nova Orin will help drive that revolution.
Winemaker Dave Phinney has a knack for making delicious, stylish wines with memorable labels and attractive price points but also for understanding wine's business side. Today, E. & J. Gallo announced that it has acquired Phinney's company, Orin Swift Cellars. Neither side would disclose a purchase price. The acquisition includes the brand, inventory and St. Helena tasting room. Phinney will remain at the helm.
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