Intel Capital has now invested over $1 billion in companies devoted to the advancement of artificial intelligence.
In a blog post, Intel’s CEO Brian Krzanich said the company is fully committed to making its silicon the “platform of choice” for AI developers. Key areas of AI development inside Intel include:
- Intel Xeon Scalable family of processors for evolving AI workloads. Intel also offers purpose-built silicon for deep learning training, code-named “Lake Crest”
- Intel Mobileye vision technologies for specialized use cases such as active safety and autonomous driving
- Intel FPGAs, which can serve as programmable accelerators for deep learning inference
- Intel Movidius low-power vision technology, which provides machine learning at the edge.
Intel Nervana Aims for AI
Intel introduced its “Nervana” platform and outlined its broad for artificial intelligence (AI), encompassing a range of new products, technologies and investments from the edge to the data center.
Intel currently powers 97 percent of data center servers running AI workloads on its existing Intel Xeon processors and Intel Xeon Phi processors, along with more workload-optimized accelerators, including FPGAs (field-programmable gate arrays).
Intel said the breakthrough technology acquired from Nervana earlier this summer will be integrated into its product roadmap. Intel will test first silicon (code-named “Lake Crest”) in the first half of 2017 and will make it available to key customers later in the year. In addition, Intel announced a new product (code-named “Knights Crest”) on the roadmap that tightly integrates best-in-class Intel Xeon processors with the technology from Nervana. Lake Crest is optimized specifically for neural networks to deliver the highest performance for deep learning and offers unp
