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AI Infrastructure What is AI Infrastructure?
AI infrastructure includes the building blocks for AI application development, deployment, and maintenance. It processes, stores, and analyzes massive datasets for training and running AI models and algorithms using hardware, software, and networking resources.
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- What is used in AI Infrastructure?
- Key components of AI Infrastructure
- The importance of AI Infrastructure
- How to optimize your company to support AI Infrastructure?
- How can HPE support?
- AI Infrastructure business case study
- AI Infrastructure—HPE Machine Learning Development System
What is used in AI Infrastructure?
This infrastructure often uses GPUs, TPUs, and AI chips optimized for AI tasks. Frameworks, libraries, and tools for AI development and deployment are software components. Cloud services and distributed computing environments use networking to efficiently move data. AI infrastructure powers AI ecosystems by providing computational capacity and assistance for enterprises and researchers to use AI in many applications and industries.