NVIDIA Gives Jetson Nano Dev Kit a Trim: 2GB Model For $59

As a part of this morning’s fall GTC 2020 bulletins, NVIDIA is revealing that they’re releasing an excellent cheaper model of their finances embedded computing board, the Jetson Nano. Initially launched again in 2015 because the Jetson TX1, an up to date model of NVIDIA’s unique Jetson package with their then-new Tegra X1 SoC, the corporate has since saved the Jetson TX1 round in varied kinds as a finances choice. Most not too long ago, the corporate re-launched it in 2019 because the Jetson Nano, their pint-sized, $99 entry degree developer package.

Now, NVIDIA is decreasing the worth tag on the Jetson Nano as soon as once more with the introduction of a brand new, cheaper SKU. Dubbed the Jetson Nano 2GB, this can be a model of the unique Jetson Nano with 2GB of DRAM as a substitute of 4GB. Otherwise the efficiency of the package stays unchanged from the unique Nano, with 4 Cortex-A57 CPU cores and the 128 CUDA core Maxwell GPU offering the heavy lifting for CPU and GPU compute, respectively.

Meanwhile, although not talked about in NVIDIA’s official press launch, it appears to be like like the corporate has simplified the service board a bit as a part of their strategy of getting the worth tag down. Relative to the unique 4GB Nano, the Nano 2GB is pictured with no DisplayPort output, and with one fewer USB port. Furthermore these USB ports are not blue, hinting that they’re USB 2.Zero as a substitute of USB 3.0 with NVIDIA confirming that simply 1 port is USB 3.0-capable, whereas the opposite two are USB 2.0. Finally, the barrel energy connector has been changed with a USB Type-C connector, and it appears to be like like varied pins have additionally been eliminated.

Overall, NVIDIA is pitching the cost-reduced Jetson Nano as a real starter package for embedded computing, appropriate for early coaching and studying. Despite receiving a minor neutering, the Nano 2GB can nonetheless run all of NVIDIA’s Jetson SDKs, permitting it for use as a stepping stone of types in the direction of studying NVIDIA’s NVIDIA’s ecosystem, and finally transferring on to their extra highly effective merchandise like their GPU accelerators and Jetson Xavier NX kits. Ultimately, with their efforts to place it as a starter package for educating functions, I think about NVIDIA is gunning for the tutorial market, notably with the continued uptick in STEM-focused applications.

The package will go on sale later this month via NVIDIA’s standard distribution channels.