Prediction and Forecasting

Model, influence, and meet future trends with NVIDIA accelerated data science solutions.

Prediction and forecasting are powerful tools to help enterprises model future trends. With NVIDIA accelerated data science, businesses can take massive-scale datasets and craft highly accurate insights to fuel data-driven decisions.

Build the Business of Tomorrow, Today

The growing practice of data science has made prediction and forecasting more common within enterprises, allowing businesses to leverage large-scale historical datasets to generate insights about the future.

While predictive analytics is highly valuable, building effective, accurate models is an arduous process. Due to the data-intensive nature of prediction, data science teams often face computational bottlenecks and significant cycle time on CPU-based implementations. Through full-stack development, from software to hardware, NVIDIA provides accelerated solutions built upon popular data science solutions to solve common pain points and help businesses get the most out of their data.

The Challenges of Prediction and Forecasting

It’s Time Consuming


Creating accurate predictions requires a lot of data. As big data use cases continue to grow, CPU performance becomes a major bottleneck. These limitations increase cycle time and costs.

It’s Costly


Enterprises scale infrastructure to reduce cycle time. Large-scale CPU infrastructure incurs significant costs, reducing the return on investment for data-driven enterprises.

It’s Frustrating


Productionizing a large-scale prediction process is arduous. Usually requiring significant software refactoring and hand-offs between teams, insight generation can be delayed substantially.

Experience the Benefits of Accelerated Prediction

  • Data Scientists
  • IT Infrastructure Professionals
Power through large-scale datasets

Less Wait

Spend less time waiting for processes to finish and more time solving hard problems with solutions that power through large-scale datasets.

Leverage all of your data to make better business

Better Results

Leverage all of your data to make better business decisions, improve organizational performance, and better meet customer needs.

Use your favorite tools to experiment, build, and productionize models

No Refactoring

Use your favorite tools to experiment, build, and productionize models with no learning curve and minimal changes to your code.

Reduce infrastructure costs and data center footprint

Greater ROI

Get more out of your data and your budget with accelerated solutions that reduce infrastructure costs and data center footprint.

Maneuver your business to thrive in future markets

Better Decisions

Generate highly accurate insights from your data to better understand trends and maneuver your business to thrive in future markets.

Easily move from experimentation to production

Seamless Scaling

Easily move from experimentation to production with tools that can easily scale from a laptop to a large-scale multi-node, multi-GPU cluster.

NVIDIA Full-Stack Solutions for Data Science

NVIDIA provides solutions to accelerate prediction in your enterprise, whether you’re building new models from scratch or fine-tuning critical business-enabling processes. By developing software and hardware holistically, NVIDIA offers enterprise-grade solutions that make it easy for businesses to generate insights and deploy models to improve operations or better serve customers. With RAPIDS and CUDA®, data scientists can accelerate prediction and forecasting pipelines on NVIDIA GPUs, reducing operations like data loading, processing, and training from days to minutes. NVIDIA accelerated computation can be harnessed through familiar Python- or Java-based languages, making it simple to get started with accelerated data science. Global NVIDIA Enterprise Support is available with NVIDIA AI Enterprise, an end-to-end AI software suite, and includes guaranteed response times, priority security notifications, regular updates, and access to NVIDIA AI experts.

Accelerate Your Data Science Toolchain with Ease

Leverage accelerated compute for machine learning to deep learning – all without having to learn any new tools.

Leverage accelerated compute for machine learning to deep learning

Rapids Provides a Foundation for a New High-performance Data Science Ecosystem

This new foundation drastically lowers the barrier to entry through interoperability. Integrations with leading data science frameworks like Apache Spark, cuPY, Dask, XGBoost, and Numba, as well as numerous deep learning frameworks such as PyTorch, TensorFlow, and Apache MxNet, broaden adoption and encourage further integration across the data science ecosystem. Through GPU acceleration, machine learning ecosystem innovations like RAPIDS hyperparameter optimization (HPO) and RAPIDS Forest Inferencing Library (FIL) are reducing once time-consuming operations to a matter of seconds.

Amazing Results from Our Customers

As more companies turn to data science to improve and refine their business, some of the most innovative enterprises are achieving incredible results with NVIDIA accelerated data science solutions. By embracing accelerated computation, enterprises are processing more and more data, reducing infrastructure costs, and better serving their customers.

Walmart Labs

Walmart is one of the largest retail businesses in the world. To continuously improve and meet customer needs, Walmart needs to drive innovation throughout the business. Walmart Labs is the braintrust that fuels that innovation. 

Walmart Labs heavily relies on data science to accurately predict inventory needs across its thousands and thousands of stores worldwide. While their operations have always been highly effective, RAPIDS and NVIDIA GPUs have improved prediction performance by 1.3 percent, saving millions for Walmart and getting more customers what they need.

100X
 

20X

Faster
model training



Reduced
compute costs

 

100X
 

20X

Faster
feature engineering



Faster
model training

Millions of dollars saved by improving forecasting processes

100X
 

97%

Faster
model training



Reduced
compute costs

 

100X
 

97%

Faster
modeling training

 


Reduced
commute cost

 

Accurate results for less money to better serve customers

Capital One

Capital One has always been a data-driven business. To better serve their customers, Capital One has undergone a significant transformation, turning from a bank that uses technology to a technology company that does banking.

As part of that transformation, Capital One has leaned into data science. To power a data-driven culture, Capital One has adopted RAPIDS, Dask, and NVIDIA GPUs, substantially improving performance and return on investment for their prediction operations. Powered by NVIDIA accelerated data science, Capital One has the tools they need to truly “change banking for good.”

Capital One

Capital One has always been a data-driven business. To better serve their customers, Capital One has undergone a significant transformation, turning from a bank that uses technology to a technology company that does banking.

As part of that transformation, Capital One has leaned into data science. To power a data-driven culture, Capital One has adopted RAPIDS, Dask, and NVIDIA GPUs, substantially improving performance and return on investment for their prediction operations. Powered by NVIDIA accelerated data science, Capital One has the tools they need to truly “change banking for good.”

100X
 

97%

Faster
model training


Reduced
compute costs

Accurate results for less money to better serve customers

Learn how to accelerate your prediction and forecasting pipelines with RAPIDS.

Accelerated Computing Solutions for Prediction and Forecasting

PCs

Build robust models during the day, game at night, all on the same GPU.

Workstations

Take experimentation to a new level with accelerated  workstations.

Data Center

Power your enterprise with accessible high-performance computing.

Cloud

Start with accelerated data science in the cloud now.

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