Nvidia has introduced the successor to their Parker SoC mostly targeting self-driving cars and artificial intelligence applications, with Xavier SoC featuring 8 custom ARMv8 cores, a 512-core Volta GPU, a VPU (Video Processing Unit) supporting 8K video decode and encode and HDR (High Dynamic Range), as well as a computer vision accelerator (CVA).
Anandtech published a comparison table with Tegra X1 (Erista), Parker, and Xavier using currently available information.
|Xavier||Parker||Erista (Tegra X1)|
|CPU||8x NVIDIA Custom ARM||2x NVIDIA Denver +
4x ARM Cortex-A57
|4x ARM Cortex-A57 +
4x ARM Cortex-A53
|GPU||Volta, 512 CUDA Cores||Pascal, 256 CUDA Cores||Maxwell, 256 CUDA Cores|
|Memory||?||LPDDR4, 128-bit Bus||LPDDR3, 64-bit Bus|
|Video Processing||7680×4320 Encode & Decode||3840x2160p60 Decode
|Manufacturing Process||TSMC 16nm FinFET+||TSMC 16nm FinFET+||TSMC 20nm Planar|
The company goes on to say a single Xavier-based AI car supercomputer will be able to replace today’s fully configured DRIVE PX 2 with two Parker SoCs and two Pascal GPUs. The new platform will be much smaller as illustrated below, consumes much less power at 20 Watt, or 25% of the power consumption of PX DRIVE 2, and deliver the same AI performance (20 TOPS), as well as around 33% better integer performance (160 SPECINT).
Xavier will start sampling in Q4 2017, and be available to automakers, tier 1 suppliers, startups and research institutions working on self-driving cars.
Nvidia has also uploaded a video showing the deep learning capabilities of their PX DRIVE 2 computer on a self-driving car that learned to drive in California, before driving in New Jersey.
Jean-Luc started CNX Software in 2010 as a part-time endeavor, before quitting his job as a software engineering manager, and starting to write daily news, and reviews full time later in 2011.