Nissan to migrate simulation workloads to Oracle

The Japanese car giant faces pressures to reduce operating costs during a tough economic climate

Car manufacturer Nissan is migrating its on-premise computing workloads to Oracle's Cloud network in a bid to cut costs and reverse a recent financial slump.

The Japanese automotive giant uses software-based Computational Fluid Dynamics (CFD) and structural simulation techniques to design and test cars for external aerodynamics and structural failures.

However, the automotive sector has been hit hard by the pandemic and many car manufacturers are turning to cloud computing providers to process increasing volumes of data at a lower cost. French firm Renault recently signed a multi-year deal with Google Cloud to store its data and use its analytical services, for example.

Nissan's economic troubles actually started before the outbreak, posting its worst year-on-year performance for a decade in 2019. Now, rather than keep it in-house, the firm is moving performance and latency-sensitive engineering simulations to Oracle Cloud where Nissan hopes it will achieve higher performance and lowers costs.

Nissan products rely on digital processes to make quick and critical design decisions that improve on areas such as fuel efficiency, reliability and safety. The firm will be using Oracle Cloud Infrastructure's compute, networking and storage services, including an optimised HPC application that will allow Nissan to benefit from the industry's first and only bare-metal HPC solution, according to Oracle.

"Nissan is a leader in adopting cloud-based high-performance computing for large scale workloads such as safety and CFD simulations," said Bing Xu, the GM of engineering systems at Nissan. "We selected Oracle Cloud Infrastructure's HPC solutions to meet the challenges of increased simulation demand under constant cost savings pressure. I believe Oracle will bring significant ROI to Nissan."

The move to Oracle is part of Nissan's wider financial restructuring. It plans to downsize global production, discontinue unprofitable models and focus on improving its electric vehicle range. The company hopes to return to profitability by 2023.

Featured Resources

Defeating ransomware with unified security from WatchGuard

How SMBs can defend against the onslaught of ransomware attacks

Free download

The IT expert’s guide to AI and content management

How artificial intelligence and machine learning could be critical to your business

Free download

The path to CX excellence

Four stages to thrive in the experience economy

Free download

Becoming an experience-based business

Your blueprint for a strong digital foundation

Free download

Most Popular

What are the pros and cons of AI?
machine learning

What are the pros and cons of AI?

8 Sep 2021
Apple patches zero-day flaw abused by infamous NSO exploit
exploits

Apple patches zero-day flaw abused by infamous NSO exploit

14 Sep 2021
Google takes down map showing homes of 111,000 Guntrader customers
data breaches

Google takes down map showing homes of 111,000 Guntrader customers

2 Sep 2021