Applications & models#
Explore the latest blogs about applications and models in the ROCm ecosystem, including machine learning frameworks, AI models, and application case studies.
Bringing the MONAI Model Zoo to AMD Instinct™ GPUs: Validated Inference on ROCm
Learn how to run validated inference for five MONAI Model Zoo bundles on AMD Instinct™ GPUs using a ROCm overlay.
ROCm 10.0.0 Support for Ray 2.58.0: Enabling Scalable AI Workflows
ROCm 10.0.0 with Ray 2.58.0 continues PyTorch 2.12 and vLLM support.
Training EAGLE3 Speculative Decoding Draft Models on AMD Instinct MI350X with AMD Quark
Learn how the AMD Quark team trains EAGLE3.1 draft models from scratch on AMD Instinct MI350X GPUs using ROCm, vLLM, TorchSpec, and SPEED-Bench.
Accelerating MONAI Digital-Pathology Pipelines on AMD Instinct™ GPUs with hipCIM
In this blog you will measure a MONAI digital-pathology pipeline on AMD Instinct™ GPUs using hipCIM as the WSIReader backend.
Micro-World 2: Streaming Real-time Interactive World Model
This blog demonstrates how Micro-World 2 combines precisely annotated action data, four-step diffusion distillation, and ROCm-optimized inference to deliver controllable, long-horizon, real-time world generation on a single AMD Instinct GPU through a fully open-source pipeline.
Optimizing World Action Models on AMD GPUs
Speed up World Action Models on AMD GPUs with GEAK kernels, fewer denoising steps, and latent actions, cutting FastWAM latency 25× at about 97 percent success.
Introducing rocOpt: GPU-Accelerated Decision Optimization on AMD ROCm
Run large-scale MILP, LP, QP, and vehicle routing problems on AMD Instinct GPUs - introducing rocopt, optimization built for ROCm.
Long Context, One Node: Serving GLM-5.3-FP8 on MI300X with DP8+EP8
Learn how to serve GLM-5.3-FP8 on one AMD Instinct™ MI300X node with DP8+EP8 and vLLM v0.28 for long-context workloads, and compare it with TP=8.
Pre-Training Hybrid LLMs from Scratch in Primus on AMD Instinct™ GPUs
Pre-train hybrid LLMs mixing MLA attention with Gated DeltaNet, Kimi Delta Attention and Mamba2 mixers on AMD Instinct MI355X GPUs, with open recipes.
Completing the GPU Performance Picture: Understanding TAF Alongside Peak FLOPs and MAF
Learn how Typical Attained FLOPs complements Peak FLOPs and Max-Achievable FLOPs, including the methodology and MI325X results
Running MolmoAct2 Robot Policy on an AMD Ryzen AI Max+ 395 Mini PC
In this tutorial, users are introduced to a state of the art vision-language-action model and the steps to implement the model directly optimized for the AMD Ryzen AI Max+ 395 Computer.
AIM: Unified User Experience from Profile Discovery to Deployment
Learn how AIMs offer a unified user experience as you explore and deploy them across AMD Instinct, Radeon PRO, and EPYC.