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Purpose-built AI hardware: Smart strategies for scaling infrastructure

Jan 16, 2025 - venturebeat.com
The article discusses the anticipated growth and strategic importance of AI infrastructure as enterprises prepare for AI expansion in 2025. It highlights the role of new AI-specific hardware, such as chips and servers, in addressing current shortages and enhancing performance. The article emphasizes the need for organizations to prioritize AI infrastructure in their strategic planning, with a focus on cloud services and hybrid models for scalability and cost-effectiveness. It also advises enterprises to consider DIY infrastructure for proprietary applications, while noting the emergence of more affordable AI hardware options for everyday organizations.

Additionally, the article stresses the importance of starting with clear business use cases and ensuring data readiness before investing in AI infrastructure. It warns against getting locked into specific service providers or technologies due to the rapidly evolving landscape. Experts recommend maintaining flexibility through multi-cloud strategies and open standards to adapt to new models and technologies. The article concludes by highlighting the ongoing shift from centralized AI training to edge inference, which will drive the development of specialized processors and further growth in AI infrastructure.

Key takeaways:

  • Enterprises should prioritize AI infrastructure as a strategic focus in 2025 to support AI expansion and digital transformation.
  • Cloud services and hybrid models are recommended for most enterprises to leverage new AI-specific hardware cost-effectively.
  • Organizations should start with clear business use cases and ensure data quality before investing in AI infrastructure.
  • Maintaining flexibility and avoiding vendor lock-in is crucial as AI technology and infrastructure needs rapidly evolve.
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