All posts in “tegra”

Tesla updates user interface, web browser in older Model S and Model X vehicles

A new update is bringing an improved user interface to older Tesla vehicles. According to this report citing forum users, the v8.1 (2018.12) update improves the speed and capability in Model S and Model X vehicles equipped with an Nvidia Tegra 3-powered MCU. This was expected; Musk stated in late December 2017 that Tesla was working to improve the browser for all its vehicles.

Users discovered the browser speed is dramatically faster, able to download at an average of over 5 Mbps. HTML5 capabilities also improved. This is just the latest in Tesla’s on-going mission to improve its vehicles after customers buy them.

Tesla launched the Model S with the Tegra 3 SoC and ran with it until late 2017 when the company switched to new x86_64-powered MCUs. Last month Elon Musk confirmed through Twitter that it was possible to retrofit older vehicles with new MCUs.

Though possible to upgrade older vehicles, it’s better for the consumer, and likely for the company, to upgrade existing hardware than make drivers bring in vehicles for a hardware upgrade.

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Arm chips with Nvidia AI could change the Internet of Things

Nvidia and Arm today announced a partnership that’s aimed at making it easier for chip makers to incorporate deep learning capabilities into next-generation consumer gadgets, mobile devices and Internet of Things objects. Mostly, thanks to this partnership, artificial intelligence could be coming to doorbell cams or smart speakers soon.

Arm intends to integrate Nvidia’s open-source Deep Learning Accelerator (NVDLA) architecture into its just-announced Project Trillium platform. Nvidia says this should help IoT chip makers incorporate AI into their products.

“Accelerating AI at the edge is critical in enabling Arm’s vision of connecting a trillion IoT devices,” said Rene Haas, EVP, and president of the IP Group, at Arm. “Today we are one step closer to that vision by incorporating NVDLA into the Arm Project Trillium platform, as our entire ecosystem will immediately benefit from the expertise and capabilities our two companies bring in AI and IoT.”

Announced last month, Arm’s Project Trillium is a series of scalable processors designed for machine learning and neural networks. NVDLA open-source nature allows Arm to offer a suite of developers tools on its new platform. Together, with Arm’s scalable chip platforms and Nvidia’s developer’s tools, the two companies feel they’re offering a solution that could result in billions of IoT, mobile and consumers electronic devices gaining access to deep learning.

Deepu Tallam, VP and GM of Autonomous Machines at Nvidia, explained it best with this analogy: “NVDLA is like providing all the ingredients for somebody to make it a dish including the instructions. With Arm [this partnership] is basically like a microwave dish.”