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Generative AI is Reshaping the Cloud Landscape
Generative AI is Reshaping the Cloud Landscape

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The rise of Generative AI is revolutionizing industries, and its impact on cloud computing is profound. With over 65% of enterprises now adopting this transformative technology, the traditional cloud infrastructure is facing a significant overhaul.

Generative AI workloads are computationally intensive, demanding robust infrastructure. This translates to higher cloud costs compared to traditional workloads. But the inherent scalability of cloud platforms allows for dynamic resource allocation, aligning with the fluctuating needs of AI models, from training to deployment.

Note: Red indicates challenges in adopting Generative AI, while green signifies areas where it facilitates adoption

Integrating Generative AI models into existing applications and workflows is crucial. This requires seamless interaction with data sources and analytics operations. While the potential for optimizing cloud infrastructure through techniques like model optimization and efficient training algorithms is promising, the current landscape of Generative AI tools might pose usability challenges for non-technical users.

To bridge this gap, standardization is key. Establishing standard tools and frameworks for cloud-based AI development will accelerate innovation and ensure wider adoption. Moreover, the demand for specialized hardware like GPUs and TPUs is surging. Cloud providers must invest in expanding their offerings to meet the growing needs of Generative AI workloads.

As we move forward, the synergy between cloud computing and Generative AI will shape the future. By addressing the challenges of cost, scalability, integration, efficiency, ease of use, standardization, and hardware, we can unlock the full potential of this transformative technology.

To know more about the future of Cloud and Generative AI, read Nasscom’s report:

Cloud and Generative AI: A Synergistic Future


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Current Focus Areas: IT Services, AIOps, 5G, Cloud, Project Management. Also specialises in Application Rationalization, Cost Optimization, Benchmarking, Report writing, and Market Research.

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