INTEL Unnati Lab Data-Centric Labs
Intel® Unnati: Data-Centric Labs in Emerging Technologies
Give Your Students the Intel Edge
Today, a wide and growing skill gap exists between technical graduates and IT industry expectations. The National Education Policy 2020 recognizes the critical need for greater industry-academic linkages and a focus on research and innovation.
The Intel® Unnati Program helps your institution keep pace with fast-changing industry needs and expectations, specifically in Artificial Intelligence (AI).
Why Choose Intel® Unnati?
The program helps your institution:
- Equip your students with industry-relevant data-centric skills. In this age of data explosion, equipping students with data-centric skills gives them the edge to glean better insights and develop high-value solutions.
- Unleash your students’ creative potential. By training the student population in the right skills, you can drive India’s digital transformation.
- Build a strong reputation. An Intel co-branded lab will recognize your institute as being committed to training students in the latest technology and focusing on faculty development.
- Build capability for the long term. You can rely on Intel’s System Integrator Associates for end-to-end technology lab setup, course content, training, maintenance, and support.
Winning with the Intel® Unnati Community
With an Intel® Unnati Lab, your faculty and students become part of the Intel® Unnati Community and receive exclusive benefits:
- Intel® Unnati Grand Challenge: Students solve industry-relevant, high-impact problems with technology, with cash awards and the opportunity to be evaluated for internships at Intel.
- Intel® Unnati Ignite workshops: These offer hands-on experience with Intel technologies.
- Intel® Unnati Catalyst: Co-sponsorships of events focused on new technologies.
- Intel® Unnati Industrial Training: Qualifying students work for a month on industry-relevant problems under the guidance of industry mentors.
- Intel® Unnati Research Launchpad: Offers grants to faculty members for original research in new and emerging technologies.
Towards a Digital Economy Powered by Data-Centric Skills
India’s goal to become a $1 trillion digital economy by 2025 requires significant investment in 21st-century infrastructure and software capabilities. The value pool is rapidly shifting towards digital technologies like AI, IoT, big data analytics, and cloud computing. Enhancing the higher education curriculum to equip students and faculty with these data-centric skills is foundational to this digital transformation journey.
Core AI Lab Features
The Intel® Unnati labs are built around providing a strong foundation in AI:
- Build a Strong Foundation in AI: Students understand Machine Learning (ML) and Deep Learning (DL) concepts from the ground up.
- Coursework that Enables Learning by Doing: The course emphasizes hands-on exercises covering Machine Learning, Deep Learning, and Deploying Models using the Intel Distribution of OpenVINO™ toolkit on modern Intel® architecture.
- Get Ready for Edge Computing: Students learn to deploy models targeting CPU, Integrated GPU, VPU, and FPGA, and use pretrained models to accelerate development time.
- Student-Centric UX: Students get a consistent learning experience and can easily execute course exercises by connecting to their lab network using any PC with a modern browser.
- Showcase New Skills: Students are awarded an Intel co-branded certificate upon course completion.
- Custom Lab Deployments: Our System Integrator associates can assist with customizations to your lab setup and training content to suit your needs.
Intel AI Technology
Intel® technologies power some of the most promising AI use cases in business, society, and research. Intel® Unnati Data-Centric Labs are built around 4th Gen Intel Xeon Scalable Processors.
Key features of the 4th Gen Intel Xeon Scalable Processors:
- Made for efficient encryption: Encrypt data with Intel® QuickAssist Technology using up to 47% fewer cores at the same performance level.
- Built for blazing AI processing: Offer 10-fold higher PyTorch real-time inference and training performance.
- Designed for cost-efficient data centers: Significantly reduce Total Cost of Ownership (TCO): 52% for databases, 55% for AI real-time referencing, and 66% for
- high-performance compute.
Lab Specifications (Example: AI Builder Lab – Minimum Suggested)
The labs utilize a range of Intel software and hardware for end-to-end solutions.
|
Category |
Component Examples (Partial List) |
Software Examples (Partial List) |
|
Hardware |
Intel® Xeon® Silver 4410 Processor , Intel® Xeon® Gold 6430 Processor , Memory (32GB RDIMM) , Storage Server , Networking 10 Modules |
Ubuntu 18.04 , Intel® oneAPI Base Toolkit , Intel AI Analytics Toolkit , Intel Distribution of OpenVINO™ Toolkit , Jupyter Hub and JupyterLab |
|
Hardware Technology |
Intel® Xeon® , Intel® Core™ , Intel® Movidius™ , Intel® Agilex® , Intel® Max Series |
oneAPI , OpenVINO™ , Ubuntu® |
