Converging Deep Learning and Cloud Computing: A Scalable and Efficient Approach for Modern AI Infrastructure
- Title
- Converging Deep Learning and Cloud Computing: A Scalable and Efficient Approach for Modern AI Infrastructure
- Creator
- Gupta, Priyanka; Monga, Suhasini; Logeshwaran, J.; Kaur, Damandeep
- Description
- Deep learning has proven to be a powerful approach to solving challenging problems, ranging from natural language processing, speech recognition, to computer vision. The proposed model has capable of matching the expanding amount of facts as well as complexity of the algorithms is demands of deep researching methodologies. These demands cannot be met with traditional computing environments. This is why cloud computing technologies have developed, offering a scalable and affordable alternative for executing deep learning algorithms. Cloud computing platforms provide the resources necessary to run deep learning workloads including compute, storage, and networking. This means you no longer have to spend lots of money on expensive hardware and makes it easier for teams and researchers to deploy and train deep learning models faster. Cloud computing has ushered in a new era of deep learning developments by mobilizing the power of specialized hardware, notably GPUs, to accelerate the training and performance of deep learning models. 2025 IEEE.
- Source
- 2025 2nd International Conference on Advanced Computing and Emerging Technologies, ACET 2025;
- Date
- 01-01-2025
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Artificial Intelligence; Cloud Computing; Deep Learning; Hardware; Infrastructure
- Coverage
- Gupta P., Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India; Monga S., Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India; Logeshwaran J., Christ University, Department of Computer Science, Karnataka, Bengaluru, India; Kaur D., Chandigarh University, Department of Computer Science Engineering, Punjab, Mohali, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833156783-5;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Gupta, Priyanka; Monga, Suhasini; Logeshwaran, J.; Kaur, Damandeep, “Converging Deep Learning and Cloud Computing: A Scalable and Efficient Approach for Modern AI Infrastructure,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25735.