NVIDIA Jetson Xavier SOC Mini-PC designed for IA

NVIDIA Jetson Xavier is the first SOC of its kind announced at CES 2018 and the largest SOC to date. We received a handful of details about the Xavier SOC when it was announced, but it seems that much more information has been posted on the Jetson Xavier DevKit website. A mini-PC specially designed for AI, robotics and other specific tasks.

NVIDIA Jetson Xavier devkit to be released in August for $1299

NVIDIA Jetson Xavier SOC Mini-PC designed for IA
First of all, the design of the devkit is important. The devkit comes in two modules, one is the Jetson Xavier support board which includes all the connectivity options and the other is the Jetson Xavier module itself. When we purchased the kit, we received the two modules, the cables and the power adapter inside the package. The module measures 100mm x 87mm and 16mm in height. With the support plate, the complete package measures 105 mm x 105 mm.

NVIDIA mentioned that the Xavier SOC is built on a 12 nm TSMC process node that houses 9 billion transistors in a 350 mm2 matrix area.

To connect to the motherboard, NVIDIA uses a 699-pin connector that supports all types of high-speed I/O, including PCIe 4.0. This is the first NVIDIA platform to officially support PCIe 4.0 and enables transfer speeds of up to 56 Gb/sec, twice the speed required by Jetson Xavier SOC. NVIDIA also mentioned that the connector is not only designed to support PCIe 4.0 but also future I/O standards and allows compatibility with future Jetson modules.

NVIDIA Jetson Xavier SOC Mini-PC designed for IA
In terms of specifications, Xavier’s SOC includes the Carmel ARM64 custom-built NVIDIA Carmel CPU, which houses 8 cores in a superscalar architecture. Features such as functional safety, dual execution, parity, and ECC are available on the CPU itself. Inside the array is also a Volta GPU containing 512 CUDA cores. The Volta GPU is capable of performing FP32, FP16, and INT8 computations as needed in a highly accurate environment. The chip provides 1.3 TFLOPs of maximum performance FP32 and 20 Tensor core TOPs.

Specifications and comparison with previous SOCs

SOCTegra X1ParkerXavier
Technology20nm SOC16nm FinFET12nm FinFET
CPU8 Core CPU12 Core CPU8 Core CPU
CPU Architecture4 x A57
4 x A53 (Custom)
8 x A57
4 x Denver2
Carmel ARM64 8 Core CPU (8 MB L2 + 4 MB L3)
GPU ArchitectureMaxwell (256 Core)Pascal (256 Core)Volta (512 Core)
Compute DLTOPsN / A20 DLTOPs30 TOPs
Total Chips2 x Tegra X12 x Tegra X2
2 x Pascal MXM GPUs
1 x Xavier
MemoryLPDDR48 GB LPDDR4 (50+ GB / s)16 GB 256-bit LPDDR4
GPU memoryN / A4 GB GDDR5 (80+ GB / s)137 GB / s

The full package costs about $ 1299 and will be available in August.





David is the chief editor, publicist, and marketer by profession at Optocrypto. He is a Passionist for the technological world and wants to aware of all the benefits of the latest technology.

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