Qualcomm's Snapdragon 835 takes on Samsung's expertise
10nm chips are lighter weight, stronger and more powerful than previous Snapdragon processors
Samsung and Qualcomm have teamed up to launch the Snapdragon 835 processor, a 10nm chip that will be used to superpower Android smartphones.
Because the chips are so small, created using Samsung's 10nm 10LPE FinFET manufacturing process, it allows manufacturers to squeeze more features into devices while offering the power and strength that surpasses larger chips.
In fact, despite being a fraction of the size of a human hair, the Snapdragon 835 offers a 30% reduction in size, 27% improvement in performance and use 40% less power than Snapdragon 821 processor.
"We are excited to continue working together with Samsung in developing products that lead the mobile industry," said Keith Kressin, SVP of product management at Qualcomm.
"Using the new 10nm process node is expected to allow our premium-tier Snapdragon 835 processor to deliver greater power efficiency and increase performance while also allowing us to add a number of new capabilities that can improve the user experience of tomorrow's mobile devices."
Devices using the Qualcomm Snapdragon 835 SOC will be able to take advantage of the company's Quick Charge technology too, which delivers high voltage and current over USB cables to help speed up the time it takes to charge the device's battery.
"As mobile devices become more capable and feature rich, people tend to use them more. That's why consumer demand and awareness for fast-charging solutions is now at an all-time high," said Alex Katouzian, SVP of product management at Qualcomm.
"Quick Charge 4 addresses that need by providing up to 50% battery charge in roughly 15 minutes or less, so you don't have to spend all day chained to your charging cable."
Top 5 challenges of migrating applications to the cloud
Explore how VMware Cloud on AWS helps to address common cloud migration challengesDownload now
3 reasons why now is the time to rethink your network
Changing requirements call for new solutionsDownload now
All-flash buyer’s guide
Tips for evaluating Solid-State ArraysDownload now
Enabling enterprise machine and deep learning with intelligent storage
The power of AI can only be realised through efficient and performant delivery of dataDownload now