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Cloud and Generative AI: A Synergistic Future

Generative AI is revolutionizing cloud computing. It's optimizing infrastructure, driving cost savings, and enabling new AI solutions. Cloud providers are investing in AI-optimized hardware and offering pre-built AI solutions. However, challenges like data security, bias, and sustainability need addressing.

Nasscom’s report titled Cloud & Generative AI- A Synergistic Future, talks about the significant impact of Generative AI on cloud infrastructure and security, the 2024 Nasscom State of Cloud Adoption survey takeaways in terms of enterprise adoption and cloud provider support needed.

The future holds immense potential for AI-powered cloud innovations, requiring collaboration and responsible development.

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Key Findings

01

  • According to McKinsey & Co, in 2023 enterprises spent nearly $15 billion on Generative AI, representing 2% of overall software spends, which is expected to be around 10% in 4-5 years
  • 2022-24 witnessed a rapid evolution in cloud platforms, hardware, APIs, and creative applications fueled by innovations as Generative AI took center stage
02

  • Cloud infrastructure providers are teaming up with AI hardware vendors and large language model (LLM) providers, collaborating with global players or nurturing domestic startups.
  • This creates a platform for startups and service providers to build and offer Generative AI solutions to the Indian market.
03

  • Generative AI adoption remains in its early stages, with many companies grappling with implementation strategies.
  • Balanced Cloud strategy emerges as preferred model for managing Generative AI-driven cloud expansion
  • Disparity present in Generative AI adoption across different industries
  • Inconsistent enterprise cloud strategies are keeping lot of Generative AI projects in pipeline
  • Future-proofing Cloud for Generative AI use will require focus on scalable resources, security and training
04

  • High-Performance AI: cutting-edge cloud infrastructure optimized for demanding Generative AI workloads
  • Secure Solutions: CSPs offer robust security and compliance solutions tailored for Generative AI projects
  • Cost Savings: Pay-as-you-go models and reduced infrastructure investments offered by CSPs unlock significant cost savings for Generative AI initiatives
  • Integration with Ease: CSPs provide seamless integration tools to connect Generative AI models with existing systems within organizations.
05

  • Size and complexity of Generative AI models can significantly impact their environmental footprint
  • Massive compute power required for Generative AI training and inference translates to high energy consumption
06

  • CSPs and enterprises to experiment with and deploy Generative AI, enabling them to adapt to future technological advancements and stay competitive.

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