Shifting inference workloads are strengthening the business case for self-hosted AI servers in some enterprises. Technology leaders evaluating infrastructure choices are finding that headline token prices do not tell the full story. The decision between cloud and on-premises deployment now requires a closer look at utilization rates, latency requirements, data sovereignty needs, and staffing costs.
Cloud flexibility remains a key advantage, but it must be weighed against the operational realities of changing AI usage patterns. For IT and real estate professionals planning data center capacity or colocation investments, the calculation is moving beyond simple cost-per-query comparisons. The balance of factors can tip toward self-hosted infrastructure when inference demands become more predictable or when control over data and response times carries a premium.
Source: https://www.digitimes.com/
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