Intel Announces Nervana and Movidius AI Chips for Inference and Training

What People Should Be Paying Attention To with AI at Intel

The short answer, is a lot. Intel’s Xeon Scalable still has a massive marketshare for datacenter compute >90% and therefore most of the world is doing at least some of their AI workloads on Intel. The company is also competing soundly for edge workloads and continues to build challenger technology for areas like computer vision for autonomous vehicles. This will place Intel squarely as part of the conversation and the company will challenge for market share in training and inference as the battle wages on to determine the best frameworks and hardware for developing and deploying enterprise AI. 

Furthermore, Intel’s full stack approach that includes compute, storage, memory, connectivity and software including a massive partner ecosystem all position the company well to compete for AI training and inference workloads. This isn’t to say that the competition for Intel won’t be fierce, because it will. But these announcements should provide the company and its stakeholders some encouragement that progress is being made and Intel won’t miss the boat on the AI opportunity. 

Futurum Research provides industry research and analysis. These columns are for educational purposes only and should not be considered in any way investment advice.

Read more analysis from Futurum Research:

Qualcomm’s Strong Quarter Driven By Licensing and 5G Growth

Lenovo Delivers Strong Quarter Outside Of The Data Center

NVIDIA GTC: New AI Inference Records, Customers and Edge Solutions

Image: Intel

The original version of this article was first published on Futurum Research.