NVIDIA Professional Graphics For

Data Science

GPU-Accelerate Your Data Science Workflows
Data science workflows have traditionally been slow and cumbersome, relying on CPUs to load, filter and manipulate data and train and deploy models. NVIDIA^® accelerated data science solutions are built on NVIDIA CUDA-X AI and feature RAPIDS for data processing and machine learning and a variety of other data science software to maximize productivity, performance and ROI with the power of NVIDIA GPUs.

NVIDIA GPU-ACCELERATED

Data Science

ESRI Software and AI Combine to Perform Big Data Analytics

OmniSci Big Data Analytics

NVIDIA POWERED

DATA SCIENCE WORKSTATIONS

As companies capture more data, powerful computing platforms with the speed and capacity to convert massive amounts of information into insights are needed so they can create better products and services for their customers. Accelerate data preparation, model training, and visualization with a new class of workstations, the NVIDIA powered Data Science Workstation.

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Features and Benefits

MAXIMIZE PRODUCTIVITY

Reduce time spent waiting to get the most valuable insights and accelerate ROI.

ACCOMPLISH MORE

Accelerate machine learning training up to 215X faster and perform more iterations, increase experimentation and carry out deeper exploration.

COST-EFFICIENCY

Reduce data science infrastructure costs and increase data center efficiency.

GPU-Accelerated

Business in Action

Maximize performance, productivity and ROI for machine learning workflows.

INTERACTIVE INFOGRAPHIC

SOLUTION BRIEF

WHITEPAPER

Improving Insights and Outcomes NVIDIA RTX for Data Science and Big Data Analytics

Learn how GPU acceleration is revolutionizing data science and analytics.

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RAPIDS:

SUITE OF DATA SCIENCE LIBRARIES

RAPIDS, built on NVIDIA CUDA-X AI, leverages more than 15 years of NVIDIA CUDA^® development and machine learning expertise. It’s powerful software for executing end-to-end data science training pipelines completely in the GPU, reducing training time from days to minutes.

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