Evolve your production of next-generation vehicles.
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.
Market the vast quantities of data from your connected vehicles to your partner ecosystem:
From autonomous vehicles to mobility services and smart manufacturing, success in AI depends on one thing: your data.
To remain competitive, car companies must transform to deliver faster innovation while maximizing efficiency and value.
An inside look into how automotive companies are applying the latest in data engineering and data science technologies.
Learn how NetApp and NVIDIA have partnered to create an AI reference architecture that provides a turnkey solution for supporting AI and DL workloads.
FlexPod demystifies deployment in environments where data gravity, security and regulatory requirements dictate on-prem model training.
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.
Put a simple plan in place for getting started. We'll give you everything you need to know.
NetApp ONTAP AI helps you get going faster to speed innovation and experimentation.
Several companies are designing autonomous vehicle programs, but there are pros and cons to different approaches.
AI is transforming the automotive industry — streamlining manufacturing, driving innovative mobility services, and enabling ground-breaking advancements in autonomous vehicles.
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.
Due to the massive amounts of data streaming from autonomous cars, manufacturing processes or supply chains, leading automotive companies are relying on deep learning.