Return
Webinar on-demand

Cloud HPC & Automotive: Cutting costs and accelerating innovation in a changing market

The automotive sector is facing a threefold challenge: a slowdown in the EV market demanding stricter cost control, a geopolitical environment requiring technological sovereignty, and a decarbonization imperative that now extends to digital infrastructure.

In this context, how can High-Performance Computing (HPC) become your primary competitive advantage?

Join us on July 3rd for a webinar as we explore these new market dynamics. Through a live demonstration, you will see how a sovereign and low carbon HPC cloud platform can meet your industrial performance goals and accelerate your development cycles.

Speakers

Théo Élegbédé
Product manager
Qarnot
Gaspard Decré
Business Developer
Qarnot
Christophe Bianchi
CAE Expert

Programme du webinaire

Market context
From the BEV slowdown to margin pressure
  • The stall in the electric vehicle market due to declining subsidies and high acquisition costs.
  • How OEMs ans suppliers are shifting investments towards coast control, production optimizatoin, and an increased reliance on numerical simulation.
  • Why reduced volumes make rapid product development more xritical than ever.
Sovereignty and fragmentation
Securing your R&D in an uncertain world
  • The impact of geopolitical tensions and protectionist policies on automotive supply chains.
  • How Qarnot, through its Europe-based HPC infrastructure, contributes to technological and digital sovereignty by ensuring critical data and computations remain within the territory.
Performance and decarbonization
Explosion in computing needs & climate goals
  • The conflict between the soaring demand for computing power for simulations (batteries, aerodynamics, etc.) and the regulatory pressure to reduce carbon emissions.
  • How decarbonizing digital infrastructure is becoming a competitive advantage for industrial players.
Performance and decarbonization
Live demonstration on the Qarnot platform

Discover how to run complex numerical simulations quickly and cost-effectively without heavy upfront investment, showcased through a concrete use case.