Helping Bosch lead with data since 2005
A 19-year global partnership
The last 19 years have given NetApp a deep understanding of Bosch and its needs. Add to this our understanding of the automotive industry and it means we are best placed to support your business in developing autonomous vehicle solutions.
A connected data experience
With NetApp, Bosch can simplify data management, both on-premises and in the world’s biggest clouds including Azure, AWS and GCP. A single-point-of-control ensures data can always be easily accessed for testing and simulation.
Flexible solutions for future growth
Our flexible solutions help you adapt to changing demands. Scale up, or scale down performance or capacity, promoting adaptive planning, resilient development, rapid delivery and continuous improvement.
We love fast cars. We love fast data even more.
NetApp has a long-standing relationship with Bosch and works in strategic partnerships with a number of other automotive companies. Learn more about our work below.
Connected data: Bosch’s key to a connected world
NetApp has partnered with Bosch for 19 years. Our strategic relationship has given us a deep understanding of Bosch’s needs, ideally placing us to support its innovation and software development projects.
Bosch accelerates engineering innovation with DevOps
Bosch raised the bar for its DevOps teams with an infrastructure as-code solution that enables a continuous integration pipeline. This solution helps developers innovate faster to keep the company at the front of the pack.
How TAG Heuer Porsche Formula E Team is speeding ahead
TAG Heuer Porsche Formula E Team are winning on and off the track by working with NetApp to maximize data performance. Global File Cache, NetApp® Cloud Volumes ONTAP and NetApp Cloud Backup are keeping them in pole position.
Unlocking the best of the cloud with Aston Martin Cognizant Formula One Team
NetApp is helping Aston Martin F1 drive its success forward. Through cloud innovation that evolves to meet their needs and the performance benefits of the NetApp® ONTAP ecosystem they are accelerating their race to the top.
Lead the AI automotive industry with NetApp’s data-driven software
Building an AI infrastructure is not an easy ride, but NetApp AI solutions are a game-changer. An efficient data pipeline speeds up innovation, turns vast volumes of autonomous vehicle data into actionable insights and transforms customer experience.
Breaking down the roadblocks to Autonomous Driving Vehicles
We can bring scale, geolocation, and workflow automation integrations to your AI development workflows, and break down the roadblocks to autonomous vehicles.
NetApp - Microsoft US finalist of the year in Industry, Automotive
NetApp proudly takes the podium as a finalist at the annual Microsoft Partner Awards of 2023. Gabie Boko, NetApp CMO, shares how we achieved excellence in innovative and industry-leading services and solutions that are based on Microsoft technologies.
Autonomous driving development using Azure NetApp Files
The race to dominate the autonomous driving space is on. See how Azure NetApp Files can help by speeding up development cycles while reducing costs and optimizing cloud service architectures.
How to Speed Up Deep Learning Model Training in the Automotive Sector – anfcommunity
Enabling Lane Detection at Scale with NetApp
AI and Microsoft Azure
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. These new applications require an orchestration solution and a shared-file system for their massive data sets in order to…
Distributed ML Training for Lane Detection
Microsoft, NetApp and Run:ai have partnered in the creation of this article to demonstrate the unique capabilities of the Azure NetApp Files together with the Run:ai platform for simplifying orchestration of AI workloads. This article provides a reference architecture for streamlining the process of both data pipelines and workload orchestration for Distributed Machine Learning Training for Lane Detection, by ensuring the use of the full potential of NVIDIA GPUs.
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