Applications & models#
Explore the latest blogs about applications and models in the ROCm ecosystem, including machine learning frameworks, AI models, and application case studies.
HPC Coding Agent - Part 3: MCP Tool for Profiling
Build an AI agent specialized in optimizing HPC workloads by connecting a Cline agent to expert-level AMD profiling tools via a custom MCP server.
Fine-Tuning AI Surrogate Models for Physics Simulations with Walrus on AMD Instinct GPU Accelerators
A showcase of fine-tuning the foundational physics simulation model Walrus on a new physics dataset using AMD Instinct hardware.
Ensemble High-Resolution Weather Forecasting on AMD Instinct GPU Accelerators
A discussion on ensembling in weather forecasting, and a guide on how to run forecasting ensembles on AMD GPUs.
HPC Coding Agent - Part 2: An MCP Tool for Code Optimization with OpenEvolve
Learn how to use OpenEvolve as an MCP tool with an AI agent for agentic code optimization
Streamlining Recommendation Model Training on AMD Instinct™ GPUs
Explore how the ROCm training docker can be used for recommendation model training on Instinct GPUs, along with a guide on configuring the workload.
Exploring Use Cases for Scalable AI: Implementing Ray with ROCm 7 Support for Efficient ML Workflows
Ray with ROCm helps you scale AI applications for training and inference workloads on AMD GPUs.
PyTorch Offline Tuning with TunableOp
Learn how to accelerate PyTorch workloads with TunableOp offline tuning—record, tune separately, and deploy faster inference.
Unlocking Sparse Acceleration on AMD GPUs with hipSPARSELt
This blog post introduces semi-structured sparsity technology supported on AMD systems and explains how to use the corresponding library to leverage its benefit.
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.