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Mar 20, 2019 10:50 AM ET

Google Stadia uses a custom AMD chip to offer 10.7 teraflops of cloud gaming power


iCrowd Newswire - Mar 20, 2019

The beauty of a cloud gaming service is two-fold: 1) you can theoretically play any game, anywhere you’ve got a good enough internet connection to stream it over the net, and 2) even if you’re playing it on a wimpy smartphone, you can harness the power of a beefy server located in a data center.

But what kind of server matters a whole heck of a lot when it comes to graphical fidelity and keeping the service affordable, given how many players may be using those servers at a given time — and it turns out that Google’s just-announced Stadia cloud gaming service may have struck a balance between power and price by partnering with AMD for a new custom piece of silicon.

According to Google, each Stadia server will contain a custom x86 processor running at 2.7GHz, 16GB of RAM, and most importantly a custom AMD GPU capable of 10.7 teraflops of performance. (They’re running Linux, not Windows, which may matter when Google tries to attract game developers.)

Google wasted no time in comparing that teraflop number against the Xbox and PlayStation competition — where the Xbox One X manages a mere 6.0 teraflops, and the PS4 Pro around 4.2 teraflops.

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Chris Welch

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Not trying to start any gaming forum / Reddit wars or anythinghttps://www.theverge.com/2019/3/19/18271702/google-stadia-cloud-gaming-service-announcement-gdc-2019 

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Of course, that comparison conveniently omits that today’s top PC gaming graphics cards can easily top 10.7 teraflops, but it’s far closer to a high-end PC than consoles generally come. In fact, AMD already had a GPU with around 10.5 teraflops of single-precision compute and the same 56 compute units: the RX Vega 56, which launched as a $400 graphics card in 2017.

Note that we’re expecting a PS5 and a next-gen Xbox as soon as next year, whose chips will no doubt be faster.

What does Google’s 10.7 teraflops mean in practice, though? Google says that at launch, you’ll be able to play games at 4K resolution, 60 frames per second with both HDR and surround sound, while simultaneously sharing a 4K, 60 fps stream of your game live to your YouTube followers. And Google says it’ll upgrade that to 8K and 120 fps gameplay in the future, though it’s not clear how far off a future we’re talking about.

Mind you, today’s top PC gaming cards already struggle to play some of the latest games at 4K with max graphical settings, but Google may have a solution for that, too: if you’re only harnessing the power of a single server, you might not see the most beautiful effects like realistic water in your games. But tap into two GPUs, and suddenly things look way better:

Theoretically, game developers could design their games to use many distributed GPUs for more impressive graphics than any single beefy gaming PC would be capable of on its own — but then there’s the economics to think about.

One of the big problems with early cloud gaming services like OnLive and PlayStation Now has been those economics — if each player needs access to a dedicated computer (or more than one!) living in that server farm, can you afford to charge a low enough fee that players will actually be tempted to pay? (PlayStation Now originally had actual PS3 consoles sitting in its server rooms, which wasn’t necessarily cost-effective.)

But Google didn’t address those economics one bit during its presentation today, and didn’t even hint at a price for this service. Hopefully, the AMD deal is a step in the right direction.

What we do know is that Google will have those servers set up at 7,500 different locations around the world, which could help ensure your games don’t lag behind your button presses — traditionally, cloud gaming services can have that problem if the servers are too far from your house.

Update, 4:44 PM ET: While it sounded like Google was using an AMD CPU in addition to the custom AMD GPU, it’s no longer clear that’s the case: Eurogamer says Google wouldn’t talk about the CPU vendor, and the spec sheet we received from Google doesn’t specify.

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Sean Hollister








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