NVIDIA Modulus (opens new window)

NVIDIA Modulus is an open-source, freely available, AI framework for building, training, and fine-tuning Physics-ML models with a simple Python interface. Using Modulus, engineers can build high-fidelity AI surrogate models that blend the causality of physics described by governing partial differential equations (PDEs) with simulation data from CAE solvers or observed data. Such AI models can predict with near-real-time latency and for a parameterized design space.

Use Modulus to bolster your engineering simulations with AI https://github.com/NVIDIA/modulus (opens new window) Download, build on, and customize state-of-the-art pretrained models from the NVIDIA NGC™ catalog (opens new window)

Production-Ready Solution With NVIDIA AI Enterprise (opens new window)

Modulus is now available with NVIDIA AI Enterprise, an end-to-end AI software platform optimized to accelerate enterprises to the leading edge of AI. NVIDIA AI Enterprise delivers validation and integration for NVIDIA AI open-source software, access to AI solution workflows to speed time to production, certifications to deploy AI everywhere, and enterprise-grade support, security, and API stability while mitigating the potential risks of open-source software.

Elevate your skills with a free technical training “Introduction to Physics-informed Machine Learning with Modulus” from the NVIDIA Deep Learning Institute (DLI) to understand the various building blocks of Modulus and the basics of physics-informed deep learning. Join the NVIDIA Developer Program (opens new window) now to claim your free complementary course.

Check out NVIDIA on-demand Modulus Featured Content (opens new window)

NVIDIA Data Loading Library (DALI) (opens new window)

The NVIDIA Data Loading Library (DALI) is a collection of highly optimized building blocks, and an execution engine, for accelerating the pre-processing of input data for deep learning applications. DALI provides both the performance and the flexibility for accelerating different data pipelines as a single library. This single library can then be easily integrated into different deep learning training and inference applications. DALI is preinstalled in the TensorFlow (opens new window), PyTorch (opens new window), NVIDIA Optimized Deep Learning Framework, powered by Apache MXNet (opens new window), and PaddlePaddle (opens new window) containers on NVIDIA GPU Cloud (opens new window).

• Easy-to-use Python API
• Transparently scales across multiple GPUs
• Accelerates image classification (ResNet-50),object detection (SSD) workloads and speech recognition models such as Jasper and RNN-T
• Flexible graphs lets developers create custom pipelines
• Supports multiple data formats - LMDB, RecordIO, TFRecord, COCO, JPEG, wav, flac, ogg, H.264 and HEVC
• Developers can add custom audio, image and video processing operators

More information on DALI on Github: https://github.com/NVIDIA/DALI (opens new window)

Exaion (opens new window)

The participants should train and fine-tune their models on their own computers based on the provided dataset. A cluster of 8 NVIDIA RTX A6000 (opens new window) GPUs will be made available by Exaion (opens new window) for participants who may not have their own GPU resources. For the training phase, Baseline solutions will be made available to help participants.

Exaion is pioneering the responsible digital services of tomorrow. As a 100% subsidiary of the EDF Group, it supports developers, businesses, institutions, and industries in their digital transformation. In line with EDF's raison d’être, it provides infrastructure services with an eco-responsible, high-performance, and sovereign approach.

Exaion's mission revolves around data, aiming to accelerate its processing, secure it, and facilitate user access and control. Its experts are dedicated to developing state-of-the-art solutions and services. Exaion operates in three distinct verticals: blockchain through Exaion Node, 3D Cloud via Exaion Studio, and edge computing with Exaion Compute. It caters to diverse sectors, including finance, media, energy, and industry.

Since 2022, Exaion has established a presence in Canada, expanding its reach to serve the North American market.