~/nvidia-nca-genm · Data Analysis and Visualization ▊
← NVIDIA-Certified Associate Generative AI Multimodal
NVIDIA · objective · 10% of the exam
Data Analysis and Visualization — NVIDIA-Certified Associate Generative AI Multimodal
The official NVIDIA documentation our Data Analysis and Visualization practice questions are cited to. Review the primary sources, then practise.
Official references for this objective
-
Nvidia — Data Processing | NVIDIA
NVIDIA Vera has 1.2 TB/s of memory bandwidth and high-speed on-chip fabric that offers the per-core performance, high throughput, and predictability under load
-
Nvidia — Apache Spark™ 3.0:For Analytics & Machine Learning | NVIDIA
Project Aether Automate the qualifying, testing, and configuring of your Spark jobs for GPU acceleration, using AI to optimize configurations for maximum performance. Large-scale migration
-
Nvidia — CUDA-X Data Science Libraries | NVIDIA Developer
Capital One accelerated its financial and credit analysis pipelines with NVIDIA cuDF and cuML, improving model training by 100x.
-
Nvidia — GPU Accelerated Solutions for Data Science | NVIDIA
150X Faster Pandas with cuDF * Benchmark on Groupy advanced operation (5GB)