JetPack 4.6 Production Release with L4T 32.6.1

We are pleased to announce JetPack 4.6, a production release supporting Jetson AGX Xavier series, Jetson Xavier NX, Jetson TX2 series, Jetson TX1, and Jetson Nano.

JetPack 4.6 includes support for Triton Inference Server, new versions of CUDA, cuDNN and TensorRT, VPI 1.1 with support for new computer vision algorithms and python bindings, L4T 32.6.1 with Over-The-Air update features, security features, and a new flashing tool to flash internal or external media connected to Jetson.

In addition to l4t-base container image, new CUDA runtime and TensorRT runtime container images are released on NVIDIA NGC, which include CUDA and TensorRT runtime components inside the container itself, as opposed to mounting those components from the host. These containers are built to containerize AI applications for deployment. Note that the L4T-base container continues to support existing containerized applications that expect it to mount CUDA and TensorRT components from the host.

Highlights of JetPack 4.6 are:

  • Image based Over-The-Air update tools for developing end-to-end OTA solution for Jetson products in the field. Supported on Jetson TX2 series, Jetson Xavier NX and Jetson AGX Xavier series. Download the OTA tools from the L4T page under the Tools section.
  • A/B Root File System redundancy to flash, maintain and update redundant root file systems. Enhances fault tolerance during OTA by falling back to the working root file system slot in case of a failure. Supported on Jetson TX2 series, Jetson Xavier NX and Jetson AGX Xavier series.
  • A new flashing tool to flash internal or external media connected to Jetson1. Supports Jetson TX2 series, Jetson Xavier NX and Jetson AGX Xavier. The new tool uses initial RAM disk for flashing and is up to1.5x faster when flashing compared to the previous method2.
  • Secure boot is enhanced3 for Jetson TX2 series to extend encryption support to kernel, kernel-dtb and initrd.
  • Disk encryption of external media supported to protect data at rest for Jetson AGX Xavier series, Jetson Xavier NX and Jetson TX2.
  • Enhanced Jetson-IO tools to configure the camera header interface and dynamically add support for a camera using device tree overlays
  • Support for Scalable Video Coding (SVC) H.264 encoding
  • Support for YUV444 8, 10 bit encoding and decoding
  • Direct downloadable links to JetPack and L4T debian packages for Jetson

Visit JetPack 4.6 and L4T 32.6.1 page for more details.

JetPack 4.6 components:

  • L4T R32.6.1
  • CUDA 10.2
  • cuDNN 8.2.1
  • TensorRT 8.0.1
  • VisionWorks 1.6
  • OpenCV 4.1.1
  • Vulkan 1.2
  • VPI 1.1
  • Nsight Systems 2021.2
  • Nsight Graphics 2021.2
  • Nsight Compute 2019.3

Install JetPack 4.6 using SDK Manager or SD card image (for Jetson Nano 2GB Developer Kit, Jetson Nano Developer Kit and Jetson Xavier NX Developer Kit) or upgrade via Debian package management tool (refer to the instructions here)

Refer to Jetson Roadmap page for roadmap on Jetson hardware and software.

Please register to following webinars:

[1] Flashing from NFS is deprecated and replaced by the new flashing tool which uses initrd

Triton Inference Server release supporting JetPack 4.6 is live now!

Visit https://github.com/triton-inference-server/server/blob/main/docs/jetson.md

JetPack 4.6 containers are live now on NGC!
As mentioned in the announcement, we have release 2 new containers this time, a cuda runtime container and a tensorrt runtime container. These containers include CUDA and TensorRT runtime components inside the container itself, as opposed to mounting those components from the host.

L4T base container: NVIDIA L4T Base | NVIDIA NGC
CUDA Runtime Container: NVIDIA L4T CUDA | NVIDIA NGC
Tensorrt Runtime Container: NVIDIA L4T TensorRT | NVIDIA NGC