A creative design firm is building a real-time text creation platform that requires advanced processing for extensive training tasks. Demand will fluctuate widely across the year, especially during promotional events. The organization wants to avoid major on-premises purchases and use a flexible arrangement that matches resources to usage. Which approach would be most suitable?
Establish more virtualization hosts locally to handle surges while distributing usage
Acquire standard remote virtual environments and rely on ephemeral usage each month
Use a third-party HPC environment with advanced compute components that can scale workloads
Expand the local data center with additional specialized servers for the biggest workload
A third-party HPC environment with specialized compute resources combines flexibility and the processing strength demanded by large training workloads. Expanding local servers involves significant upgrades and limited growth potential, standard remote instances might not deliver the performance needed for advanced tasks, and boosting local virtualization capacity continues dependence on on-premises hardware and limits quick elasticity.
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