High-end GPUs are all the rage right now. They are driving deep neural net training for artificial intelligence, enabling the growing PC gaming market and next-generation virtual reality, augmented reality and mixed reality applications. There are only two high-end players in the GPU space, Advanced Micro Devices 's Radeon group and NVIDIA. Over the past few years, AMD has dominated the gaming console market and the lower end graphics market and shared the mid-range, while NVIDIA currently owns the datacenter and professional graphics, GPU DNN-training and the highest-end gaming graphics. AMD has gained unit graphics share the past few quarters.
While there are many factors that go into which vendor does what, architecture has historically been a determining factor in big swings of market share in one direction or another. This is what makes AMD’s Vega architecture so interesting as it could determine AMD's place in graphics for the next 5 years. AMD has been riding different variations of the same GCN (Graphics Core Next) architecture since 2011 and has been making improvements to it, but Vega brings an entirely new architecture to the table.
Vega is AMD's next generation graphics architecture (Image: AMD)
Why a new architecture?
Advanced Micro Devices's Radeon group has designed the Vega architecture to attack future workloads spanning workstation, compute and gaming. They cite that current architectures can’t tackle these future workloads and cite that game install sizes are rising, professional graphics data density and compute workloads are going into the petabytes, and that there’s a growing discrepancy between compute power and memory capacity. All this is true, and are you seeing a logical trend here around memory? If not, you should.
Read more here: http://www.forbes.com/sites/patrickmoorhead/2017/01/05/amd-provides-vega-graphics-architecture-details-and-it-looks-very-promising/#7a6303207c5c