Dante Gama Dessavre

Dante Gama Dessavre is the engineering manager of the RAPIDS machine learning team at NVIDIA.
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Posts by Dante Gama Dessavre

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Data Science

Supercharge Tree-Based Model Inference with Forest Inference Library in NVIDIA cuML

Tree-ensemble models remain a go-to for tabular data because they're accurate, comparatively inexpensive to train, and fast. But deploying Python inference on... 11 MIN READ
A diagram shows machine learning algorithms and the scikit-learn logo running on NVIDIA cuML to best leverage a system’s GPU and CPU.
Data Science

NVIDIA cuML Brings Zero Code Change Acceleration to scikit-learn

Scikit-learn, the most widely used ML library, is popular for processing tabular data because of its simple API, diversity of algorithms, and compatibility with... 8 MIN READ
Data Science

Faster Causal Inference on Large Datasets with NVIDIA RAPIDS

As consumer applications generate more data than ever before, enterprises are turning to causal inference methods for observational data to help shed light on... 4 MIN READ
Data Science

Input and Output Configurability in RAPIDS cuML

The RAPIDS machine learning library, cuML, supports several types of input data formats while attempting to return results in the output format that fits best... 11 MIN READ