Nvidia Tech Tango: A Conversation About the Latest and Upcoming Greatest in Tech

    In a recent collaboration with Nvidia, we had the opportunity to have a conversation with the brand’s prominent figures in their respective fields about the kind of technology Nvidia is working on bringing or improving in the near future. This was part of Nvidia’s Tech Tango in collaboration with Redjacket, Digital Dejavu, and Futuresmith. You can find the 22nd October Livestream on Redjacket’s Youtube Channel.

    TECH TANGO with NVIDIA India | Tech Talks EP #1 – YouTube

    This tech talk was attended by – Rajaram S. Chitrigemath (Nvidia Field Application Engineer), Subhasis Dutt (Nvidia Regional manager – East), Diptoman “Zane” Saha (RedJacket Editor in chief), and yours truly Sayantan Chatterjee (Director of Digital Dejavu).

    System latency
    Nvidia Reflex:

    Our conversation opened with Nvidia Reflex, a technology that helps reduce system latency in order to benefit gamers execute faster reactionary movements or action in games. System latency is dependent on a lot of variables including but not limited to your monitor’s refresh rate, CPU & GPU power and the latency of your peripherals. Reflex tries to optimize the flow of frames and reduces GPU load in a GPU bound scenario so that it can prevent the render queue from piling up and makes sure the GPU can keep up the frames sent from the CPU with minimum delay. This prevents the CPU from being held back due to the GPU not being able to keep up, thus reducing the time it takes for the frames sent by the CPU to be processed via the GPU and sent to your display. Mr. Rajaram explained how your hardware and the different settings available in games enable you to use Reflex, and what Reflex boost does.

    Nvidia Canvas
    Nvidia Canvas

    Then the conversation shifted to Nvidia’s AI-powered Canvas application. Canvas gives you an opportunity to draw crudely on your screen and the deep learning model swiftly tries to guess the scene intended and converts it into picturesque scenes and landscapes which still roughly resemble your original creation, all in real-time. Canvas can be used on any system running an RTX GPU.

    There were also discussions related to Nvidia’s active involvement in AI and deep learning in general and how the consumers can benefit from having an RTX GPU for various activities which are not limited to just gaming but in fields like AI, machine learning and data science. Mr. Rajaram also shed some light on the future of mining and how the situation related to GPU availability might be relieved in the coming months.

    Overall, it was a very informative session with a lot of ground covered and we hope to organize more talks like this in the future. Collabs are always welcome especially if the main goal is informative and educative content, I personally am thankful for being invited. Everybody brought up really good points to speak about and we wish to get back together soon for more potential tech talk, definitely something to look forward to. Make sure to follow Redjacket and Digital Dejavu across all platforms to stay updated regarding regular content and events like these.

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