Qualcomm Snapdragon 835 powered smartphones coming soon to India

Qualcomm confirms the next generation Snapdragon 835 processor powered smartphones to come in India soon.

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Highlights

    • Qualcomm Snapdragon 835 powered smartphones to come soon
    • The chipset supports Quick Charge 4.0
    • Samsung Galaxy S8 series the first to debut the latest SoC

Qualcomm on Tuesday announced it all new Snapdragon 660 and Snapdragon 630 mobile platforms at its Snapdragon Tech Day in Singapore. Besides the new Snapdragon mobile platforms that are designed to deliver flagship features in mid-range devices, the chipset maker also showcased its next generation system-on-chip Snapdragon 835.

The latest flagship processor that debuted at the Consumer Electronics Show (CES) in January this year will make its way to India soon.  Currently, there are just five high-end premium smartphones that incorporate the top-of-the-line Snapdragon 835 chipset- the Samsung Galaxy S8, Galaxy S8+, Sony Xperia XZs, Xiaomi Mi 6 and the Sharp Aquos R, which is yet to get any price or availability information. Technically, Samsung’s ‘infinity display’ flagship Galaxy S8 and Galaxy S8+ are the first smartphones to carry the next-generation SoC, however, the new Galaxy S8 series in India comes packing Samsung’s own Exynos 9 (8895) chipset based on 10nm FinFET technology instead of the Qualcomm Snapdragon 835.

Since Xiaomi has not yet revealed any information on when it plans to bring the Mi6 to India, it leaves us with the hope that Sony will bring its Xperia XZ Premium to the Indian market sooner than later.

Qualcomm’s high-end Snapdragon 835 processor brings advanced features supporting Qualcomm Spectra 180 ISP for quick autofocus, Gigabit-class LTE modem support, Quick Charge 4.0 that is said to charge a device to five hours of talk time in five minutes. In addition, the chipset will offer an immersive AR, VR experience with better colour reproduction and a better illusion of depth. Apart from this, the Snapdragon 835 processor will enable machine learning processes as well via a device’s software and hardware.