Snowpark-optimized warehouses are specifically designed for:
Machine learning and data science workloads
Large memory and high compute demands
Complex transformations and model training
Scala, Python, and Java Snowpark operations
They provide significantly more memory per node compared to standard warehouses, which is exactly what a large-scale ML workload requires.
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