Qualcomm 835 has 10nm design, 3 billion transistors and machine learning

    Mobile chip designer Qualcomm has just detailed their latest processor, the Qualcomm Snapdragon 835. This new system on a chip is based on new 10 nanometre architecture and despite being 35% smaller than the 820, it packs in a staggering 3 billion ultra-efficient transistors.

    Qualcomm says as we move into an era where mobile computing means integration of their chips into smartphones, VR and AR heat mounted displays, IP cameras, tablets, mobile PCs and more, they need a chip that’s better on battery. The 835 is faster but achieves that speed using 25% less battery power. Of course there’s many components (mostly the screen) that sucks power from your phones battery, so don’t expect a 25% increase in net battery life, but we’ll take gains we’re we can get them.

    The new system supports gigabit LTE and 802.11ad Wi-Fi connectivity for up to 4.6Gbps which will be critical as AR/VR headsets try to push more and more pixels to user’s eyeballs. If you’ve ever used a GearVR and waited for a VR experience to load, you’ll understand why this is important. For those who haven’t, your basically trapped in the experience and have nothing else to look at to distract you.

    When it comes to on-board graphics, the GPU has been beefed up to delivering up to 25% faster graphics rendering and 60x more display colors compared to previous designs with the Qualcomm Adreno 540 GPU. Qualcomm are calling this enough power to support real-life-quality visuals for exciting immersive experiences.

    Qualcomm Quick Charge 4 is included which means you can add 5 hours of talk time (if you still talk on your phone) with just 5 minutes of charging.

    The Snapdragon 835 is the world’s first solution, supported through the companion WCN 3990 chip, to be certified for Bluetooth 5.0, improving overall speed, range, and capacity.

    Machine Learning

    Typically we think of machine learning being powered by cloud computing, but Qualcomm has embedded the necessary technologies for their machine learning platform. It’s designed to provide intelligent, on-device capabilities that utilize the computing strength of Snapdragon 835 to make our devices smarter. Real-world use cases include object recognition for better photos, real-time hand-tracking for immersive VR, voice recognition for a low-power virtual assistant, and biometric authentication that knows and protects users.

    The first announced Snapdragon 835 powered devices are ODG’s R-8, the company’s first consumer mobile AR/VR smartglasses for early adopters, and the R-9 for wide field-of-view (WFOV) experiences — from light enterprise to prosumer media consumption. Both are expected to be available by the second half of the year.

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    Jason Cartwright
    Jason Cartwright
    Creator of techAU, Jason has spent the dozen+ years covering technology in Australia and around the world. Bringing a background in multimedia and passion for technology to the job, Cartwright delivers detailed product reviews, event coverage and industry news on a daily basis. Disclaimer: Tesla Shareholder from 20/01/2021

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