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Radeon Instinct Announced by AMD to Accelerate Machine Intelligence with Vega

Category: General News
Posted: 02:21PM

Not even half way done and December is already proving to be a very interesting month for AMD. It launched the Crimson ReLive drivers, will be having its New Horizons event focusing on the upcoming Zen CPU architecture tomorrow, and now it has revealed its Radeon Instinct program. This program includes both hardware and open-source software to advance machine intelligence, a field becoming ever more interesting and important as more and more data is collected. Creating both high performance GPU and x86 silicon, AMD sees itself as being in a strong position to fulfill the needs of the datacenters that implement machine intelligence methods.

Providing the GPU power behind Radeon Instinct are three new accelerators, the MI6, MI8, and MI25. The MI6 is based on the Polaris architecture, has 16 GB of memory, and is capable of 5.7 TFLOPS of FP16 performance at just 150 W of board power. The MI8 uses the Fiji Nano GPU with 4 GB of HBM to provide 8.2 TFLOPS of peak FP16 performance while drawing less than 175 W. You may have noticed a pattern to the names here, but I am not seeing a clear statement that the MI25 is capable of ~25 TFLOPs, but it would make sense. What AMD does say about the MI25 though is that it is based on the Vega GPU architecture, its next generation GPU architecture not expected until the first half of next year, and uses less than 300 W. All of these accelerators use passive cooling, support AMD MxGPU hardware virtualization, and 64-bit PCIe addressing for multi-GPU peer-to-peer support.

On the software side, AMD has the MIOpen GPU-accelerated library and ROCm. MIOpen is a free and open source library for GPU-tuned implementations of standard routines and should be available Q1 2017. The ROCm platform provides acceleration for several frameworks, so programmers can focus on training neural networks instead of the otherwise necessary performance tuning.



Source: AMD and Radeon.com

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