GENESIS: Advanced AI and High-Performance Computing
Tennessee Tech’s ASCEND Center is expanding the university’s role in artificial intelligence, advanced research and technology-driven innovation through GENESIS, a high-performance computing system designed to support large-scale AI, scientific computing and data-intensive research.
GENESIS gives Tennessee Tech researchers, students and partners access to advanced computational infrastructure that supports research competitiveness, workforce development and economic growth across Tennessee.
GENESIS will be housed at Tennessee Tech’s research center in Crossville, TN, which is envisioned as Tennessee’s next high-technology research hub for industry collaboration, startup activity and federal partnerships.
- 27 Supermicro AS-4145GH-TNMR server nodes
- 108 AMD Instinct MI300A accelerated processing units
- 2 PFLOPS of peak FP64 compute
- 7 PFLOPS of AI tensor performance
- 5 TB unified HBM3 memory
- 567 TB/s aggregate memory bandwidth
- Approximately 3.5 PB storage capacity
Research, Collaboration & Workforce Development
GENESIS strengthens Tennessee Tech’s ability to lead in research and innovation efforts that increasingly depend on large-scalecomputing infrastructure.
The system is designed to support research in artificial intelligence, cybersecurity, engineering, simulation, advanced manufacturing, energy systems, scientific modeling and large-scale data analytics—fields critical to national competitiveness, economic growth and technological innovation.
GENESIS also prepares Tennessee students for the AI economy, providing them hands-on experience with advanced computing infrastructure similar to systems used by national laboratories, federal research facilities, major technology companies and research universities.
Built for AI, simulation and data-intensive discovery, GENESIS supports research and training in areas including:
- AI and large-scale machine learning
- Computational fluid dynamics (CFD)
- Finite element analysis
- Large-scale engineering simulation
- Molecular dynamics and quantum chemistry
- Climate, weather and environmental modeling
- Multi-physics simulations
- Cybersecurity research and AI-driven threat analysis
- Data analytics and visualization of petabyte-scale datasets
- Quantum computer simulation
GENESIS to enables Tennessee Tech to collaborate with industry, government agencies, national laboratories and research partners on compute-intensive challenges, including: Potential partner areas include:
- AI model development and machine learning
- Large Language Models (LLMs)
- High-performance and scientific computing
- Engineering simulation and CFD
- Digital twins and smart manufacturing
- Cybersecurity and intelligent threat analysis
- Large-scale data analytics and visualization
- Materials and computational science
- Energy and environmental modeling
- Workforce development
- Federal research partnerships
Contact Information
ASCEND Center
Anthony Skjellum, Ph.D., Director and Professor of Computer Science
askjellum@tntech.edu
Procurement and Systems Integration
Michael Todd, MJM Systems
mtodd@mjmsystems.com
615-915-7145