Intel Unveils Strategy for State-of-the-Art Artificial Intelligence
Intel Corp. announced a range of 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 a broad set of technology options to drive AI capabilities in everything from smart factories and drones to sports, fraud detection and autonomous cars.
In a blog, CEO Brian Krzanich said: “Intel is uniquely capable of enabling and accelerating the promise of AI. Intel is committed to AI and is making major investments in technology and developer resources to advance AI for business and society.”
Intel plans to usher in the industry’s most 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.
Today, Intel 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 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 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 unprecedented compute density with a high-bandwidth interconnect.
Bryant also said Intel expects the next generation of Intel Xeon Phi processors (code-named “Knights Mill”) will deliver up to 4x better performance than the previous generation for deep learning and will be available in 2017. In addition, Intel 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.
Enabling AI Everywhere and Cloud Alliance with Google
Aside from silicon, Intel highlighted other AI assets, including Intel Saffron Technology, a leading solution for 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 leading 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 global leading 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.