AI - Applications & Models#
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.
Accelerating IBM Granite 4.0 with FP8 using AMD Quark on MI300/MI355 GPUs
Learn how AMD Instinct MI355 Series GPUs deliver competitive Granite 4.0 inference with faster TTFT, lower latency, and strong throughput.
Bridging the Last Mile: Deploying Hummingbird-XT for Efficient Video Generation on AMD Consumer-Grade Platforms
Learn how to use Hummingbird-XT and Hummingbird-XTX modelS to generate videos. Explore the video diffusion model acceleration solution, including dit distillation method and light VAE model.
High-Resolution Weather Forecasting with StormCast on AMD Instinct GPU Accelerators
A showcase for how to run high-resolution weather prediction models such as StormCast on AMD Instinct hardware.
Breaking the Accuracy-Speed Barrier: How MXFP4/6 Quantization Revolutionizes Image and Video Generation
Explore how MXFP4/6, supported by AMD Instinct™ MI350 series GPUs, achieves BF16-comparable image and video generation quality.
ROCm Fork of MaxText: Structure and Strategy
Learn how the ROCm fork of MaxText mirrors upstream while enabling offline testing, minimal datasets, and platform-agnostic, decoupled workflows.
ROCm MaxText Testing — Decoupled (Offline) and Cloud-Integrated Modes
Learn how to run MaxText unit tests on AMD ROCm GPUs in offline and cloud modes for fast validation, clear reports, and reproducible workflows.
SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning
In this blog we will discuss SparK, a training-free, plug-and-play method for KV cache compression in large language models (LLMs).
GEAK-Triton v2 Family of AI Agents: Kernel Optimization for AMD Instinct GPUs
Introducing GEAK Family - AI-driven agents that automate GPU kernel optimization for AMD Instinct GPUs with hardware-aware feedback
A Step-by-Step Walkthrough of Decentralized LLM Training on AMD GPUs
Learn how to train LLMs across decentralized clusters on AMD Instinct MI300 GPUs with DiLoCo and Prime—scale beyond one datacenter.
Medical Imaging on MI300X: SwinUNETR Inference Optimization
A practical guide to optimizing SwinUNETR inference on AMD Instinct™ MI300X GPUs for fast 3D segmentation of tumors in medical imaging.
Accelerating Autonomous Driving Model Training on AMD ROCm™ Software
Learn how to deploy AMD GPUs for high-performance autonomous driving related model training with ROCm optimization.