The newly-released 32GB AGX Orin is available now in both developer kit and SOC module format and is described by Nvidia as an "energy-efficient
AI supercomputer", which they say is six times more powerful than its predecessor and is intended to support large, complex
AI models for natural language understanding, 3D perception, and multi-sensor fusion. A more powerful 64GB version is due for release in November ahead of the planned Orin NX modules in the new year.
Bringing a remarkable 200 TOPS to the table, the 32GB Jetson AGX Orin is capable of 200 trillion operations per second, thanks to a 3-fold increase in CUDA cores over the AGX Xavier, topping out at 1792 across 14 streaming multiprocessors (SM). Combining this increase in performance with next-gen deep learning and vision accelerators provided by the Ampere architecture (and the new Arm Cortex-A78AE CPU), high-speed interfaces, faster memory bandwidth, and multimodal sensor support, the Orin even has the ability to run multiple
AI application pipelines concurrently.
Try Jetson AGX Orin for yourself
At Impulse we have a large R&D and technology hub which is aimed to promote collaboration and innovation between our partners and customers. With that in mind, Impulse have invested in a wide range of Nvidia GPU based systems, including Jetson AGX Orin, which are intended for our customers to try their code and help define which chip is suitable for their application, before committing to move onto a more ruggedised solution.
- Try Jetson ORIN, AGX Xavier, Xavier NX, Nano.
- Spin up your code on our systems remotely.
- Benchmark and test to arrive at a suitable platform.
- Discuss your ruggedised requirements in person or via Teams.
If you would like to try any of the Jetson systems for yourself, or even benchmark a rack or tower based
GPU computer, please get in touch with our friendly team who will be happy to discuss your requirements.
Our Embedded Systems Capabilities
Developing an industrial
AI computing solution can be difficult, costly and time-consuming. With our
Embedded Systems capabilities, we can create reliable, repeatable and robust systems to help reduce your costs and development time. With our team of in-house engineers and specialists, all with decades of experience, we can offer you fully deployable embedded Edge
AI computing solutions straight out of the box.
For more details regarding our
Embedded Systems capabilities please click here.
If you are interested in running your own tests to determine the best Nvidia chip for your application, get in touch by filling out your details below.