Case study: Zenuity

över 7 år sedan

Läs om den plattform för utveckling av AI & Deep Learning som CGit varit med och levererat till Zenuity.

Customer:
Zenuity, a joint venture of Volvo Cars and Autoliv, is racing ahead on the road to autonomous driving with software powered by deep learning. The company built their AI infrastructure on NVIDIA® DGX-1 and Pure Storage® FlashBlade, delivering the ultimate platform for their data scientists and researchers to make autonomous vehicles smarter and safer.

Challenges:

• Autonomous driving software is entrusted with making crucial, real-time decisions.
• The company needed to handle the exponentially increasing volume of sensory data.
• The industry faces a trade-off between processing more data — which is essential to deliver improvements in safety — and accelerating time-to-market.

Use Case:

• AI/Deep Learning – NVIDIA DGX-1, Pure Storage® FlashBlade, Tensorflow, PyTorch

Business Transformation:
Due to a breakthrough in AI infrastructure, Zenuity has taken a leadership position in autonomous driving with deep learning. Data scientists can process the amount of data needed to ensure safety without compromising product timeline.

IT Transformation:

• With its compact form factor and simplicity, FlashBlade delivers a petabyte in just 8U.
• The solution enables the company to make ground-breaking progress in reducing training run intervals.
• The company reduced training times, which means IT investment is better utilized and data scientists are more productive.

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