AI and hybrid cloud promise major gains... if the underlying infrastructure can keep up. This article from Deloitte breaks down how hybrid environments are evolving, and why many organizations may be less "ready" than they think. Read the article to evaluate your infrastructure readiness and explore what's required to build a digital foundation for hybrid cloud and AI. Contact Play Good Group to discuss your next steps in infrastructure modernization.
Is my organization ready for hybrid cloud?
To assess your organization’s readiness for hybrid cloud, consider factors such as rising cloud costs, data sovereignty, and the need for modernization. As AI workloads scale, many organizations find that public cloud expenses can become significant. Monitoring your cloud usage against a preset cost threshold can help you decide when to transition to dedicated AI infrastructure. Additionally, evaluate your data storage and processing needs to ensure that your infrastructure can support the demands of AI applications.
What innovations are shaping AI infrastructure?
Organizations should look into advanced hardware options like neural processing units and tensor processing units, which can enhance energy efficiency and processing capabilities for AI tasks. Innovations in operating models, such as custom AI architectures, can also play a crucial role in managing large data sets and executing complex AI tasks in real time. By integrating these technologies, companies can achieve faster and more cost-effective processing, ultimately reshaping their AI infrastructure.
How can edge computing benefit my organization?
Edge computing can provide significant benefits, particularly for AI tasks that require low latency and high data security. By processing data closer to its source, organizations can improve response times and reduce reliance on centralized cloud services. Research indicates that the global AI edge computing market is projected to grow from $27 billion in 2024 to $267 billion by 2032. Implementing edge solutions can help organizations optimize their AI infrastructure and enhance overall performance.
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