AI Blogs - Page 8#
Edge-to-Cloud Robotics with AMD ROCm: From Data Collection to Real-Time Inference
This blog demonstrates a comprehensive Edge-to-Cloud robotics AI solution powered by the AMD ecosystem and the Hugging Face LeRobot framework.
hipBLASLt Online GEMM Tuning
Learn how to improve model performance with hipBLASLt online tuning merged into LLM framework
Utilizing AMD Instinct GPU Accelerators for Weather and Precipitation Forecasting with NeuralGCM
A showcase of how to run NeuralGCM, a hybrid GCM model, on AMD Instinct hardware, including an introduction, installation, inference, and plotting.
Multi-Node Distributed Inference for Diffusion Models with xDiT
Follow a tutorial on multi-node video generation with diffusion models, covering scaling considerations and a practical Docker-based example.
Agentic Diagnosis for LLM Training at Scale
Explore how AI agents diagnose LLM training incidents — from RCCL hangs to throughput regressions — in one prompt with MaxText-Slurm.
Getting Started with ComfyUI on AMD Radeon™ RX 9000 Series GPUs
Learn how to set up and optimize ComfyUI on AMD Radeon RX 9000 GPUs with ROCm 7.1 — solve common issues and start generating.
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
MaxText-Slurm: Production-Grade LLM Training with Built-In Observability
MaxText-Slurm: A unified launch system for production-grade LLM training with observability on AMD GPU clusters.
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.