Intel® Unnati_ High Performance Computing Lab
Intel® Unnati: High Performance Computing Lab
Give Your Students the Intel Edge.
The Intel® Unnati Program helps your institution bridge the skill gap between technical graduates and industry expectations by keeping pace with fast-changing industry needs. Aligned with the National Education Policy 2020, the program stresses the need for greater industry-academic linkages and a focus on research and innovation.
Why Choose Intel® Unnati?
The program will help you:
- Equip your students with industry relevant data-centric skills: Give your students the edge by equipping them with data-centric skills that will help them glean better insights and develop high-value solutions.
- Unleash your students’ creative potential: Train the largest student population in the world in the right skills to 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 our System Integrator Associates for Intel’s recommendations for end-to-end technology lab setup, course content, training, customizations, maintenance, and support.
The Power of High Performance Computing (HPC)
High Performance Computing (HPC) is a class of applications and workloads that perform computationally intensive operations across multiple resources. It has been key to research and innovation for years and is fueling breakthroughs in areas like:
- Autonomous Driving
- Climate Change
- Seismic Engineering
- Precision Medicine
- Financial Risk Assessment
While HPC can run on a single system, its real power comes from connecting multiple nodes in a cluster to compute large-scale simulations that are not feasible on a single system.
HPC and AI: A Powerful Combination
The architectures for HPC and AI have many similarities, using high compute/storage levels, large memory capacity, and high-bandwidth fabrics to process massive data sets.
- AI augments HPC: AI models can augment expert analysis of data sets to produce results faster at the same level of accuracy.
- HPC addresses AI at scale: HPC helps address challenges of AI at scale, such as the need for more parallelism and fast I/O for massive data sets.
- Deep learning is a great match for HPC problems involving very large, multidimensional data sets.
HPC Made Simple with Intel® oneAPI
Modern HPC clusters often include multi-core processors and accelerators like GPUs and FPGAs, which require parallel programming.
- Simplified Programming Model: The increasingly heterogenous HPC environment requires a standard, simplified programming model. The Intel oneAPI toolkits provide this balance, ensuring optimal use of underlying hardware features with portable, easily maintainable, and power-efficient code.
- Foundational Concepts: Students are introduced to key foundational HPC concepts, parallel programming, software frameworks, and toolkits that simplify implementation on Intel XPUs and accelerators.
- Industry Tools: Students will learn about and use the Intel oneAPI HPC Toolkit, which is utilized globally to build, analyze, optimize, and scale HPC applications.
Winning with the Intel® Unnati Community
With an Intel® Unnati Lab, your faculty and students become part of the Intel® Unnati Community and get exclusive benefits:
- Intel® Unnati Grand Challenge: Students solve high-impact problems for cash awards and the opportunity for internships at Intel.
- Intel® Unnati Ignite workshops: 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.
Core Technology: 4th Gen Intel Xeon Scalable Processors
Intel® Unnati Data-Centric Labs are built around 4th Gen Intel Xeon Scalable Processors, which feature a balanced architecture with built-in AI acceleration and advanced security. Compared to the prior generation, they are:
- 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: They significantly reduce Total Cost of Ownership (TCO): 52% for databases, 55% for AI real-time referencing, and 66% for high-performance compute.
Lab Configurations
The lab configurations are suitable for students and researchers, catering to those just getting started or those who require a powerful compute cluster for advanced workloads.
Lab Type | Target Audience | Minimum Suggested Configuration |
HPC Developer Lab | Institutions seeking to introduce students to a first small, yet capable, cluster. | 1x Master Node and 2x Compute Nodes. |
HPC Research Lab | Institutions working with HPC applications who need to upgrade to a mid-size or large cluster. | 1x Master Node, 6x Compute Nodes, and Optional 1x GPU Node. |
