Intel Accelerates AI, Machine Learning Efforts With Nervana Acquisition

 
 
By Jeffrey Burt  |  Posted 2016-08-09 Print this article Print
 
 
 
 
 
 
 
Intel AI

The chip maker will integrate Nervana's AI hardware and software stacks into its own growing artificial intelligence portfolio.

Intel is ramping up its efforts in the small but fast-growing artificial intelligence space with the acquisition of 48-person startup Nervana Systems, which has been developing software and hardware technologies for machine learning.

Intel officials announced the chip maker's plans to acquire the San Diego, Calif.-based company Aug. 9, a week before their Intel Developer Forum (IDF) kicks off next week in San Francisco. No financial details were released, though news site Recode cited anonymous sources who put the price tag at more than $350 million.

The acquisition strengthens Intel's position in an artificial intelligence (AI) space that is expected to expand rapidly in the coming years as the internet of things (IoT) grows, with company officials predicting more than 50 billion smart, connected devices worldwide by 2020 and continuing to increase after that.

Intel's Xeon processors run more than 90 percent of the servers in data centers globally, but the company is now looking to become a larger player in the areas of AI and machine learning. It's a market that a broad array of tech vendors are making hard pushes into. That includes GPU maker Nvidia, which has made AI a central part of its future strategy, and other chip companies, such as IBM and its Power and OpenPower efforts and ARM and its range of chip-making partners.

AI technology already is in use today, from fraud detection and photo tagging to self-driving cars and precision medicine, according to Diane Bryant, executive vice president and general manager of Intel's Data Center Group.

"Encompassing compute methods like advanced data analytics, computer vision, natural language processing and machine learning, artificial intelligence is transforming the way businesses operate and how people engage with the world," Bryant wrote in a post on the company blog. "Machine learning, and its subset deep learning, are key methods for the expanding field of AI."

Nervana already has a software and hardware stack that is fully optimized for deep learning, and the company's "IP and expertise in accelerating deep learning algorithms will expand Intel's capabilities in the field of AI," she wrote.

"We will apply Nervana's software expertise to further optimize the Intel Math Kernel Library and its integration into industry standard frameworks," Bryant wrote. "Nervana's Engine and silicon expertise will advance Intel's AI portfolio and enhance the deep learning performance and TCO of our Intel Xeon and Intel Xeon Phi processors."

Patrick Moorhead, principal analyst with Moor Insights and Strategy, said the acquisition of Nervana is an important move in a market that he said represents a crucial inflection point in the tech industry.

"It moves them in the right direction," Moorhead told eWEEK. "I'm a lot more comfortable in their future in AI and machine learning, but there's a lot of execution that needs to be done."

There essentially are two key parts of machine learning: training (where neural networks are taught such things as object identification) and inference (where they use this training to recognize and process unknown inputs). Neural networks used for training are large, and most training is done on Nvidia GPUs. The inference networks are smaller, and most of that work is done on CPUs from Intel.

The chip maker wants to be a larger player in both areas, and the Nervana acquisition—combined with its Xeon, Xeon Phi and field-programmable gate array (FPGA) chips—gives them the chance to make that push, Moorhead said.

"That's a benefit of being a big company," he said. "You can make these massive investments."



 
 
 
 
 
 
 
 
 
 
 
 
 

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