The rise of artificial intelligence (AI) significantly influences storage requirements in datacentres, necessitating performance optimizations and considerations specifically tailored for AI workloads.
Key demands for AI processing include managing high-dimensional vector data, enabling efficient checkpointing during training, and addressing compliance challenges that come with AI implementations.
Storage suppliers are evolving rapidly in response to AI's demands, forging partnerships with major players like Nvidia to enhance offerings specifically designed for AI workloads.
Cloud storage presents both opportunities and challenges for AI applications, as it can provide scalability but may also struggle with the performance expectations of AI processing.
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