AMD powers AWS cloud tools to accelerate and improve game development efficiency


Long before the work-from-home mandate resulting from the COVID-19 pandemic, game developers and other design professionals worked collaboratively no matter where they were. This means high-performance workstations capable of running mission-critical applications and supporting demanding workflows on the go.

Computer chip maker Advanced Micro Devices Inc. has partnered with Amazon Web Services Inc. to meet these demands in the cloud. AMD-powered Amazon EC2 G4ad instances help gamers achieve high levels of productivity without the impracticality, risk, and expense of deploying many high-investment desktops for use in the office, on the road, and on the go. home, according to George Watkins (pictured), product marketing manager for the visual cloud and data center GPU at AMD.

“The cloud, and then obviously in this case the AWS cloud, with the G4ad instances, really brings the whole pipeline together,” he said. “It brings together data sets and virtual desktops… as well as all applications in one place. Everything is centralized, and from an IT point of view, it’s fantastic. And, in fact, sending a workstation now is really easy. This is login credentials in an email to your new staff, and there are huge benefits from a staff perspective as well.

Watkins spoke with Jean Furrier, host of theCUBE, the live streaming studio of SiliconANGLE Media, during AWS re: Invent. They discussed how AMD and AWS are accelerating game development in the cloud, as well as how their tools improve pipeline efficiency and time to market. (* Disclosure below.)

Faster time to market

Besides giving game developers the computing power and speed they need to innovate, G4ad instances offer flexibility, efficiency and faster time to market, according to Watkins.

“A good example of this is if an artist is using or working on a very, very heavy dataset and their virtual machine or virtual desktop setup is not up to par due to a such a large data set, all he needs to do is call IT and say, “I need more resources,” Watkins said. “And, literally, in a matter of minutes, they can actually have this resource, again, improving that productivity, reducing that time.”

Unreal Swarm is another resource for increasing efficiency. It reduces the time it takes to turn lightmaps into a game by automatically adapting the build process in the AWS Cloud. So instead of doing it on the local station using traditional CPU and memory resources, which would take around 50 minutes, game developers can complete the task in the cloud in around four minutes, according to Watkins.

“This type of task that you would typically see with a 3D artist or with a programmer basically happens several times a day. So when you start to factor in a saving of 45 minutes several times a day, it really starts to reduce the time saved, and obviously the amount of cost saved for that artist’s time, ”Watkins said.

Watch the full video interview below and be sure to check out more SiliconANGLE and theCUBE coverage on AWS re: Invent. (* Disclosure: Advanced Micro Devices Inc. sponsored this segment of CUBE. Neither AMD nor other sponsors have editorial control over the content of CUBE or SiliconANGLE.)

Photo: SiliconANGLE

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