The stock of Intel Corporation (NASDAQ:INTC) closed at $40.09 losing 0.40% in yesterday’s trading session. This company has been directing much of its efforts into trying to gain relevance in the fast growing artificial-intelligence and machine-learning markets.
It seems like its efforts might pay off. The latest in its developments is about the launch of a new product called Nervana which is fundamentally centered on a unique architectural design.
The Nervana Neural Network Processor is set to target enterprise and data-center customers who express interest towards accelerating artificial-intelligence training times while at the same time seeking to provide superior efficiency and lower consumption.
Intel has been in the frontline in the market taking every opportunity that comes its way to create brands and leadership. The high demand and the incredible marketability are aspects the company has been holding in high regard.
NVIDIA Corporation (NASDAQ:NVDA) is most probably the outstanding winner in the space and has over the years employed its graphics-processor technology towards slowly optimizing its hardware and designs to target deep learning and artificial intelligence in a direct way. It has also directed a huge chunk of its resources into optimizing its hardware.
Lately, the company added the Tensor processors to its graphics chips in a direct manner. Other companies have also followed suit by stepping into the machine-learning markets from both enterprise and consumer perspectives. They are currently presenting roadmaps and products as well and they seek to effectively address the future of workload demands.
Intel has spoken many times about the numerous capabilities associated with its server processor family called Xeon Scalable. A number of analysts have moved forward to state that the x 86 processor structures were not ideal for the machine learning tasks. The most cost-efficient systems for high performance roles go hand in hand with parallel computing.
Intel’s spokesperson opined, “For relevancy, Intel must continue to iterate and discuss its artificial-intelligence and machine-learning compute plans, but it needs to prove performance advantages over competing giants like Nvidia to make inroads.”
