Applications & models - Page 3#
Explore the latest blogs about applications and models in the ROCm ecosystem, including machine learning frameworks, AI models, and application case studies.
Reinforcement Learning from Human Feedback on AMD GPUs with verl and ROCm 7.0.0
Deploy verl on AMD GPUs for fast, scalable RLHF training with ROCm optimization, Docker scripts, and strong throughput and convergence results
Solution Blueprints: Accelerating AI Deployment with AMD Enterprise AI
This blog presents AIMs Solution Blueprints and demonstrates modular, Helm‑based deployment patterns.
Digital Twins on AMD: Building Robotic Simulations Using Edge AI PCs
Explore how Ryzen AI MAX enables robotic simulation on a single AI PC and take your first step into digital twins.
Resilient Large-Scale Training: Integrating TorchFT with TorchTitan on AMD GPUs
Achieve resilient, checkpoint-less distributed training on AMD GPUs by integrating TorchFT with TorchTitan on Primus-SaFE.
Accelerating Graph Layout with AI and ROCm on AMD GPUs
Case study of using AI coding agents to optimize graph layout using GPUs.
Micro-World: First AMD Open-Source World Models for Interactive Video Generation
Micro-World is an action-controlled interactive world model designed to generate high-quality, open-domain scenes.
Foundations of Molecular Generation with GP-MoLFormer on AMD Instinct MI300X Accelerators
Explore molecular generation with GP-MoLFormer on AMD MI300X GPUs, including sequence-based modeling, inference, and property-guided design.
Nitro-AR: A Compact AR Transformer for High-Quality Image Generation
Nitro-AR is a compact E-MMDiT-based masked AR image generator matching diffusion quality with lower latency on AMD GPUs.
Applying Compute Partitioning for Workloads on MI300X GPUs
Learn how to boost MI300X performance using GPU Compute partitioning for parallel workloads like GROMACS and REINVENT
Installing AMD HIP-Enabled GROMACS on HPC Systems: A LUMI Supercomputer Case Study
Installing AMD HIP-Enabled GROMACS on HPC Systems: A LUMI Supercomputer Case Study
Athena-PRM: Enhancing Multimodal Reasoning with Data-Efficient Process Reward Models
Learn how to utilize a data-efficient Process Reward Model to enhance the reasoning ability of the Large Language/Multimodal Models.
Using Gradient Boosting Libraries on MI300X for Financial Risk Prediction
This blog shows how to run LightGBM and ThunderGBM GPU-accelerated training on AMD Instinct MI300X GPUs with ROCm for finance focused workloads.