Mar 17, 2020 · NVIDIA embedded has released the Jetson Nano B01 revision. What’s the purpose, What's new, and what should you care about? Arducam explains it all.

32-entry fully-associative L1 data TLB with native support for 4KB, 64KB, and 1MB pages sizes. 48Kbyte I-cache and 32Kbyte D-cache for each core. CPU frequency and voltage are actively managed by Tegra Power and Thermal Management Software and influenced by workload.

Mar 11, 2021 · There is 3D step model in DLC: https://developer.nvidia.com/jetson-nano-developer-kit-b01-3d-cad-step-model. Also there is PCB file of carrier board and module datasheet in DLC for your reference.

NVIDIA Jetson Nano Developer Kit delivers the performance to run modern AI workloads in a small form factor, power-efficient (consuming as little as 5 Watts), and low cost. Developers, learners, and makers can run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.

The Jetson Nano 4GB Developer Kit features four USB 3.0 ports, an MIPI CSI-2 camera connector, HDMI 2.0 and DisplayPort 1.3, Gigabit Ethernet, an M.2 Key-E module, a MicroSD card slot, and a 40-pin GPIO header. The dev kit can be powered by either the Micro USB port or a 5V DC barrel jack adapter. 1. microSD card slot for main storage

NVIDIA Jetson Nano Developer Kit Carrier Board P3449_B01 SP-09732-001_v1.1 | 7 . Chapter 2. Jetson Nano Carrier Board Standard Connectors . The Jetson Nano carrier board provides several connectors with industry s tandard pinouts to support additional functionality beyond what is integrated on the main platform board. This includes:

The NVIDIA® Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, ob ject detection, segmentation, and speech processing.

The NVIDIA® Jetson Nano™ Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.

NVIDIA Jetson Nano Developer Kit delivers the performance to run modern AI workloads in a small form factor, power-efficient (consuming as little as 5 Watts), and low cost.