Previously ATLAS-P-2025-001
Journal ArticlePublishedOpen Access Peer-reviewed
Optimizing Multi-Tenancy FPGA Cloud Systems for Efficient Resource Utilization
- Busa Revathi
- Dhadi Sai Praneeth Reddy1
- Kasireddy Manideep Reddy
- 1 Atlas AI Labs
International Journal for Research Trends and Innovation · Vol. 10, No. 1, pp. a275–a280, Article IJRTI2501037 · IJRTI (JW Publication) · Jan 2025
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Abstract
Multi-tenant FPGA cloud systems represent a new frontier in high-performance computing (HPC), blending flexibility, processing power, and cost efficiency. FPGA-based systems, integrated into cloud environments, hold immense potential for industries requiring real-time data processing, such as artificial intelligence (AI), finance, and healthcare. These systems enable dynamic resource allocation, offering better performance while addressing cost concerns. This paper presents a detailed exploration of the system architecture, challenges, implementation, and the impact of such systems, along with an evaluation of their suitability in line with India's government initiatives. Potential future research directions such as quantum-FPGA integration are also discussed.
- FPGA
- Cloud computing
- Multi-tenant systems
- High-performance computing
- AI
- Resource allocation
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Publisher details
- Publisher
- IJRTI (JW Publication)
- Published in
- International Journal for Research Trends and Innovation
- Volume
- Vol. 10, No. 1, pp. a275–a280, Article IJRTI2501037
- ISSN
- 2456-3315
- License
- CC BY 4.0
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Identifiers
- ISSN
- 2456-3315Copy ISSN
- Vol. / pages
- Vol. 10, No. 1, pp. a275–a280, Article IJRTI2501037
- License
- CC BY 4.0
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