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AMD Radeon Vega Frontier goes after NVIDIA in machine learning

19 May 2017

At long last, AMD finally announced its first Vega graphics card. only you won't be using this to play games.

Instead, the Radeon Vega Frontier Edition that AMD unveiled yesterday evening during its Financial Analyst Day presentation is a muscular card for professionals. It may not be what most people were expecting but it's still an interesting card nonetheless. As far as the specs go, the card features 4096 stream processors and clocked beyond 1550 MHz to deliver 13 TFLOPs of FP32 and 25 TFLOPs of FP16 compute performance.

With the Radeon Vega, AMD is pushing back.

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Either way, none of these dart throws suggest the eventual RX Vega will have what it takes to unseat the GeForce GTX 1080 Ti atop the consumer graphics-performance race, as some wild rumors have postulated recently.

Revolutionized Game Design Workflows: Radeon Vega Frontier Edition simplifies and accelerates game creation by providing a single GPU optimized for every stage of a game developer's workflow, from asset production to playtesting and performance optimization.

Machine Learning: Together with AMD's ROCm open software platform, Radeon Vega Frontier Edition enables developers to tap into the power of Vega for machine learning algorithm development. The answer is yes, absolutely. The graphics card has a total rated bandwidth of 480 GB/s which is lower than 512 GB/s on Fiji.

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Advanced visualization - Vega can outrun Titan Xp by an average of 42 per cent in some pro apps, says AMD. Feeding the GPU is 16GB of HBM2 memory on a super-wide 2048-bit bus.

"Our engineering focus remains on delivering a steady drumbeat of new high-performance CPU and GPU architectures that build on the strong foundations we have set with "Zen" and "Polaris" to drive broader adoption of our products", said AMD senior vice president and CTO Mark Papermaster. But more than just trying to appeal to the usual gaming and creator crowds, AMD is aiming for one of NVIDIA's new favorite audience: machine learning enthusiasts.

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AMD Radeon Vega Frontier goes after NVIDIA in machine learning