Tag Archives: Nvidia

Technology

How To Update Driver For Your Nvidia Graphics Card

If you’re looking to update your Nvidia graphics card’s drivers and stay up to date with new updates, the easiest way to do it is by using GeForce Experience. This free software utility comes pre-installed on prefab PCs with Nvidia GeForce graphics cards, but you can also download it from Nvidia’s website if you installed the graphics card yourself.

GeForce Experience will create a pop-up notification on the bottom-right of your screen whenever there’s a new driver update available. Simply click the notification to open GeForce Experience. If you miss the pop-up, you can manually open the utility yourself.

GeForce ExperienceDaniel Trock/SlashGear

  1. Right-click on the Nvidia icon in your toolbar at the bottom-right of your screen. If needed, click the arrow to show hidden icons.

  2. Click on Nvidia GeForce Experience.

  3. Click on the Drivers tab located on the top-left.

  4. If a driver is available, click the green Download button.

  5. Once the driver finishes downloading, click the green Express Installation button.

  6. Allow the new driver to install. Your screen may go dark temporarily during this process.

  7. When the installation is complete, you can close GeForce Experience.

If you want to customize the installation of the driver, you can click the Custom Installation button and choose which components to install. However, for most users, the Express Installation option is recommended.

Cars, News

Tesla’s Dojo Supercomputer Begins Production To Train Autopilot Worthy Of Its Name

Tesla is stepping up its game with the production of its new supercomputer known as Dojo, designed specifically to train the Autopilot system. Currently, Tesla relies on a supercomputer equipped with Nvidia A100 GPUs, composed of 5,760 GPU units spread across 820 nodes. This powerful setup can deliver 1.8 Exa-FLOPS (floating point operations per second). However, the Dojo supercomputer is expected to surpass these specifications easily.

Unlike the current setup, Dojo doesn’t depend on outsourced cores. Instead, it utilizes a self-designed D1 chip, manufactured by TSMC using a 7nm fabrication process. This chip contains more than 300 computing cores, and multiple D1 chips are clustered to form tiles. Each System Tray is made up of six tiles, and one cabinet consists of a pair of System Trays. To create one ExaPOD, ten cabinets are combined.

During Tesla’s AI Day event last year, a detailed presentation on Dojo was provided, shedding light on its architecture. The primary goal of Dojo is to expedite the auto-labeling process, which plays a vital role in training the Autopilot model. By enhancing the speed of this process, Dojo enables the Autopilot system to better recognize real-world objects and understand various scenarios, ultimately leading to more accurate decision-making.

However, even during the early stages of testing, Dojo’s power was so overwhelming that it reportedly overloaded the local power grid. This demonstrates the high potential and impressive capabilities of Tesla’s new supercomputer.