Achieving Elastic Throughput in the Cloud With a Distributed File System To Boost AI Training

Artificial intelligence (AI) is now the cornerstone of software development in fields like quantitative research. Quantitative hedge funds often encounter challenges such as resource wastage and inadequate computing resources during workload surges.

To address these issues, cloud-based elastic computing offers an effective solution. It reduces time to market, allocates resources flexibly, and facilitates the adoption of the latest hardware technologies.

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