For the third time in less than a decade, the technology industry is navigating a supply chain crisis. This time the catalyst is AI. The hyperscalers' race to build out AI infrastructure has consumed the lion’s share of global semiconductor fabrication capacity, creating supply shortages and cost increases that ripple well beyond AI itself [1]. If you're not building GPU clusters, you might assume this doesn't affect you. It does.
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Over 50% of all IT budgets moving forward will be allocated to AI, with 60% of IT time dedicated to focusing on it. Is your IT team prepared for this significant shift in the IT landscape? Balancing support for current applications while building a future-ready platform is critical. But how can you ensure the significant investments you’re making now won’t need to be repeated in just a few years?
Legacy storage just can’t handle modern demands. It wasn’t designed for hybrid, AI-driven operations. The result? Gaps in performance, security, and cost control that put your business at risk.
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Pure recently launched its Pure Storage AI Copilot, which uses telemetry and AI models to assist IT teams in diagnosing performance issues, detecting security incidents such as ransomware, and simplifying storage management. This natural language assistant enables customers to check array performance, identify capacity concerns, and assess data security compared to their peers. It offers a significant advancement in troubleshooting and remediation for storage administrators.
AI Copilot Key Capabilities:
