ASML: Accelerating Semiconductor Lithography
A case study of Mistral AI
- Client
- ASML
- Industry
- Manufacturing
- Team and scope
- applied to semiconductor lithography sub-system error identification
Client website: asml.com
The challenge
ASML needed to accelerate advanced semiconductor lithography processes by improving the efficiency of sub-system error identification. The company sought to build a foundation for current and future products and services using high-performance AI models.
The solution
ASML utilizes Mistral's high-performance models and receives made-to-measure support from Mistral experts to advance semiconductor lithography. The implementation focuses on building sovereign AI foundations for industrial workloads.
The results
ASML is identifying sub-system errors 70% faster by leveraging Mistral's high-performance models. The partnership enables the company to build the necessary foundations to power its current and future products and services.
In numbers
- faster sub-system error identification
- 70%
Products and services used
Technologies
- NVIDIA GB200
- NVIDIA GB300
- NVIDIA B300
- Grace CPUs
- x86 CPUs
Added by AntSpace from public sources (mistral.ai).