Webinar

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

Thursday July 3rd

From 12:00 PM to 12:45 PM

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 Elégbédé

Product manager

QARNOT

Gaspard Decré

Business Developer

QARNOT

Christophe Bianchi

CAE expert

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Program of the event

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 and suppliers are shifting investments towards cost control, production optimization, and an increased reliance on numerical simulation.
Why reduced volumes make rapid product development more critical 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.

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.

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