Intel Corporation launched Thursday new range of new products, technologies and investments from the edge to the data center to help expand and accelerate the growth of artificial intelligence (AI). Intel sees AI transforming the way businesses operate and how people engage with the world. Intel is assembling the broadest set of technology options to drive AI capabilities in everything from smart factories and drones to sports, fraud detection and autonomous cars.
Intel announced plans to usher in comprehensive portfolio for AI – the Intel Nervana platform. Built for speed and ease of use, the Intel Nervana portfolio is the foundation for highly optimized AI solutions, enabling more data professionals to solve the world’s biggest challenges on industry standard technology.
Intel currently powers 97 percent of data center servers running AI workloads and offers the most flexible, yet performance-optimized, portfolio of solutions. This includes Intel Xeon processors and Intel Xeon Phi processors to more workload-optimized accelerators, including FPGAs (field-programmable gate arrays) and the technology innovations acquired from Nervana.
Intel also provided details of where the breakthrough technology from Nervana will be integrated into the 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 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 compute density with a high-bandwidth interconnect.
“Intel is committed to AI and is making major investments across technology, training, resources and R&D to advance AI for business and society,” wrote Brian Krzanich, Intel CEO in a blog post. “We have a commitment to our partners, the industry as a whole and our global society to accelerate AI development, deliver end-to-end solutions, and lead the next generation of computing transformations. Within our industry, only Intel can make and deliver upon this commitment because of our comprehensive technology portfolio – an unparalleled portfolio developed through acquisition and innovation.”
“We expect the Intel Nervana platform to produce breakthrough performance and dramatic reductions in the time to train complex neural networks,” said Diane Bryant, executive vice president and general manager of the Data Center Group at Intel. “Before the end of the decade, Intel will deliver a 100-fold increase in performance that will turbocharge the pace of innovation in the emerging deep learning space.”
Bryant also announced that Intel expects the next generation of Intel Xeon Phi processors (code-named “Knights Mill”) will deliver up to 4x better performance1 than the previous generation for deep learning and will be available in 2017.
In addition, Intel announced it is shipping a preliminary version of the next generation of Intel Xeon processors (code-named “Skylake”) to select cloud service providers. With AVX-512, an integrated acceleration advancement, these Intel Xeon processors will significantly boost the performance of inference for machine learning workloads. Additional capabilities and configurations will be available when the platform family launches in mid-2017 to meet the full breadth of customer segments and requirements.
Aside from silicon, Intel highlighted other AI assets, including Intel Saffron Technology aimed at customers looking for business insights. The Saffron Technology platform leverages memory-based reasoning techniques and transparent analysis of heterogeneous data. This technology is also particularly well-suited to small devices, making intelligent local analytics possible across IoT and helping advance state-of the-art collaborative AI.
To simplify deployment everywhere, Intel also delivers common, intelligent APIs that extend across Intel’s distributed portfolio of processors from edge to cloud, as well as embedded technologies such as Intel RealSense cameras and Movidius vision processing units (VPUs).
Intel and Google announced a strategic alliance to help enterprise IT deliver an open, flexible and secure multi-cloud infrastructure for their businesses. The collaboration includes technology integrations focused on Kubernetes (containers), machine learning, security and IoT.
To further AI research and strategy, Intel announced the formation of the Intel Nervana AI board, which will feature industry and academic thought leaders.
Intel announced four founding members: Yoshua Bengio (University of Montreal), Bruno Olshausen (UC Berkeley), Jan Rabaey (UC Berkeley) and Ron Dror (Stanford University).
Additionally, Intel is working to make AI truly accessible. To help accomplish this, Intel has introduced the Intel Nervana AI Academy for broad developer access to training and tools. Intel also introduced the Intel Nervana Graph Compiler to accelerate deep learning frameworks on Intel silicon.
In conjunction with the AI Academy, Intel announced a partnership with education provider Coursera to provide a series of AI online courses to the academic community. Intel also launched a Kaggle Competition (coming in January) jointly with Mobile ODT where the academic community can put their AI skills to the test to solve real-world socioeconomic problems, such as early detection for cervical cancer in developing countries through the use of AI for soft tissue imaging.
“Intel can offer crucial technologies to drive the AI revolution, but ultimately we must work together as an industry – and as a society – to achieve the ultimate potential of AI,” said Doug Fisher, senior vice president and general manager of the Software and Services Group at Intel.
With the addition of the new edge and data center products, as well as the enablement programs, Intel has the full complement of technologies and ecosystem reach required to deliver the scale and promise of AI for everyone.
Intel is committing $25 million to the Broad Institute to drive high-performance computing for genomics analytics. Through a five-year collaboration, researchers and software engineers at the Intel-Broad Center for Genomic Data Engineering will build, optimize and widely share new tools and infrastructure that will help scientists integrate and process genomic data.
The project aims to optimize best practices in hardware and software for genome analytics to make it possible to access and use research data sets that reside on private, public and hybrid clouds.
Intel is a founding partner of Hack Harassment, a cooperative effort with the mission of reducing the prevalence and severity of online harassment. The initiative is evaluating AI technology as a tool in this effort and is working to develop an intelligent algorithm to detect and deter online harassment. Over time, this capability will be released as an open source API that can be used in a variety of applications.
Intel is also a key partner of the National Center for Missing & Exploited Children (NCMEC), a nonprofit whose mission is to help find missing children, reduce child sexual exploitation and prevent child victimization. Intel is providing AI technology and advising the center with the goal of accelerating the critical work of NCMEC’s analysts to respond to reports of child sexual exploitation.