Devinder Kumar
Yes, I think if you put in perspective, the ATI acquisition was almost 10 years to the day today. It was about the strategy to put the graphic and CPU on the same chip in the form of an APU. But, as it turns out, the attach rates have gone down a lot slower than everybody expected. Those three GPUs are still significant market opportunity. We've made some good strides in terms of lot of these products we entered in the middle part of 2016, and gain market share significantly on [indiscernible] graphics space.
But and probably thanks to the way the market has evolved. But we see opportunities and everybody sees opportunities, the GPUs in this particular space can be a growing market and it’s a workload and they use it more than allow us to do that, we've invested in that area.
And you've seen us recently or you’ve seen an announcement recently with Alibaba in China and even Google that has announced engagement with AMD on the GPU side to be utilizing the data center space. And as you rightfully observed in the data center space or in any space, but data center, in particular, you have CPUs, which we have and we’re refreshing the product with Zen. But we also have GPUs that are coming up.
Alibaba is introducing a current generation of GPUs, but we do have Vega products coming out in the middle part of 2017. And that should help us from an overall standpoint of being more competitive in a space that, for example, our competitor has taken that world by storm. Everybody is talking about GPU acceleration.
And I just caution that this is an investment that pays off over the longer-term. But it is definitely an area that we are very focused and go invest and capture fair share in that particular area over a multi-year period. But that is really the future in terms of where the next level of growth could come in terms of machine learning, deep learning, the training in forums, and all of the stuff that you read about in that particular space.
