First up: Machine Learning Hardware in a Public Context

Join us on 22 March 2024 for an insightful session on "Machine Learning Hardware in a Public Context: Options and How to Use Them.", presented by Dr. Tim Dahmen. This webinar is tailor-made for professionals and enthusiasts who want to understand the latest advances in deep learning technology and its impact on materials science and engineering.

Key Highlights:

• Efficient Use of GPU Resources: Learn how to host and operate your own GPU resources. We'll explore a flexible solution that allows for exclusive resource reservations in interactive mode and scheduler-based access in cluster mode.
• GPU Virtualization Environment: Dive into the world of GPU virtualization, offering flexible and efficient resource management.
• Alternatives to In-House Hardware: We'll also discuss the pros and cons of renting hardware from cloud providers like Google and Amazon, as well as accessing publicly funded supercomputers.

This webinar series isn't just a lecture; it's an interactive platform where you can engage with experts, ask questions, and share your experiences. Whether you're a professional in the field or an avid learner, our webinar series promises to enrich your understanding and provide valuable takeaways.

Stay Ahead with NFDI-MatWerk

Our commitment to your growth doesn't end with this webinar. The NFDI-MatWerk Tool Webinar Series is an ongoing program, that will cover a variety of topics relevant to materials science and engineering. Stay tuned for more updates and upcoming sessions!

Register Now

Don’t miss this opportunity to deepen your understanding of machine learning hardware in the field of materials science and engineering. Register now to secure your spot in our upcoming webinar.

For more information and registration details, please click here.