Unlock the potential of AI in the automotive industry
Evolve your production of next-generation vehicles.
Solutions for AI in Automotive
Today's automotive leaders are investing heavily in data-driven software applications to advance the most important innovations in autonomous and connected vehicles, mobility, and manufacturing. NetApp offers a future-proof platform for your AI journey from analytics and HPC to autonomous decisions. That means you can optimize your IT investments, pay only for what you need when you need it, and enable a single, unified experience across hybrid, multicloud environments.
Pave the way for autonomous vehicles
- Transport data from vehicles to your simulation and test environments.
- Optimize compute capabilities in a multicloud environment.
- Mobilize the massive amounts of data collected by autonomous-vehicle development and operations. Fuel future development and ongoing improvement.
Improve data mobility
Market the vast quantities of data from your connected vehicles to your partner ecosystem:
- Unlock the power of your data—wherever and whenever it is created.
- Run analytics in place, either on premises or in the cloud, regardless of where your data sits.
- Accelerate development cycles using binary repositories with JFrog Artifactory.
Reinventing the automotive industry
From autonomous vehicles to mobility services and smart manufacturing, success in AI depends on one thing: your data.
Automotive technology moving faster than cars
To remain competitive, car companies must transform to deliver faster innovation while maximizing efficiency and value.
Artificial intelligence in the automotive industry
An inside look into how automotive companies are applying the latest in data engineering and data science technologies.
A deep dive into AI for autonomous driving workloads
Learn how NetApp and NVIDIA have partnered to create an AI reference architecture that provides a turnkey solution for supporting AI and DL workloads.
Accelerate AI/ML initiatives
FlexPod demystifies deployment in environments where data gravity, security and regulatory requirements dictate on-prem model training.
How to build a data pipeline for autonomous driving
Today's test cars generate more than 2PB of data daily per car. In this blog, learn how to use data engineering and data science technologies to solve autonomous driving challenges.
Create a roadmap to AI success
Put a simple plan in place for getting started. We'll give you everything you need to know.
Start small, scale without limits
NetApp ONTAP AI helps you get going faster to speed innovation and experimentation.
Learn four approaches to autonomous vehicle program design
Several companies are designing autonomous vehicle programs, but there are pros and cons to different approaches.
Learn how to drive transformation in automotive with AI and Deep Learning
AI is transforming the automotive industry — streamlining manufacturing, driving innovative mobility services, and enabling ground-breaking advancements in autonomous vehicles.
Cambridge Consultants uses AI for world-changing innovation
Experts around the world are teaching machines to teach themselves. Cambridge Consultants is at the nexus of this effort, enabling life-changing innovation through AI.
The impacts of deep learning on automotive data
Due to the massive amounts of data streaming from autonomous cars, manufacturing processes or supply chains, leading automotive companies are relying on deep learning.