BSC-NVIDIA AI Day

Other Training

Data: 09/Jan/2025 Time: 09:00 - 16:30

Place:

Sala d'Actes Vertex and BSC Auditorium

Primary tabs

9:00 - 9:30

  • Plenary Session 1: Welcome and Introduction - Sala d'Actes Vertex - Mateo Valero (BSC) & Rod Evans (NVIDIA)

(1) Agenda (2) Goals and Objectives

9:30 - 10:00
  • Plenary Session 2: Keynote - Sala d'Actes Vertex - Dimosthenis Karatzas (ELLIS Unit Barcelona)

AI researcher to expand on collaboration between SCCs and AI researchers.

10:00 - 10:15
  • Plenary Session 3: About NVAITC - Sala d'Actes Vertex 

Engaging with NVAITC to collaborate and accelerate your AI research - Ignacio Sarasua

10:15 - 11:00
  • Plenary Session 4: NVIDIA NEMO and Models Customization - Sala d'Actes Vertex

(1) Overview of LLM cycle in NeMo (2) Nemo Curator (3) Pretraining (4) Model customization (5)Model deployment/inference - Sergio Perez

11:00 - 11:30

 Coffee Break

11:30 - 12:15

  • Plenary Session 5: NVIDIA Modulus and AI for Science - Sala d'Actes Vertex

(1) Understanding NVIDIA Modulus (2)Key Features and Capabilities (3)Use Cases and Applications - Niki Loppi

12:15 - 13:00
  • Plenary Session 6: Exploring NVIDIA NIMs - Sala d'Actes Vertex

(1) Introduction to NVIDIA NIM (2) Key Features and Advantages (3) Use Cases in Various Industries - Ignacio Sarasua

13:00 - 14:00

Lunch Break

14:00 - 15:00

  • Parallel Tutorials Part 1- Meet with experts

Tutorial 1 : Sergio Perez ; BSC Auditorium

Tutorial 2 : Nikki Loppi ; BSC Room 1

Tutorial 3 : Ignacio Sarasua ; BSC Room 2

(1) Tutorial 1: Model deployment with TensorRTLLM / Triton OR
(2) Tutorial 2 : Sequential Learning in deep learning for HPC Apps OR
(3) Tutorial 3 : Retrieval Augmented Generation using NIMs
15:00 - 15:30
Coffee Break

15:30 - 16:30

  • Parallel Tutorials Part 2 - Meet with experts

Tutorial 1 : Sergio Perez ; BSC Room 1

Tutorial 2 : Nikki Loppi ; BSC Auditorium

Tutorial 3: Ignacio Sarasua ; BSC Room 2

(1) Tutorial 1 : Model deployment with TensorRTLLM / Triton OR
(2) Tutorial 2 : Sequential Learning in deep learning for HPC Apps OR
(3) Tutorial 3 : Retrieval Augmented Generation using NIMs