AI Blogs#
PyTorch Offline Tuning with TunableOp
Learn how to accelerate PyTorch workloads with TunableOp offline tuning—record, tune separately, and deploy faster inference.
LuminaSFT: Generating Synthetic Fine-Tuning Data for Small Language Models
Learn how task-specific synthetic data can improve small language model performance and explore results from the LuminaSFT study.
Getting Started with AMD Resource Manager: Efficient Sharing of AMD Instinct™ GPUs for R&D Teams and AI Practitioners
Learn how to utilize the AMD Resource Manager by following this step-by-step guide on how to setup projects, share compute resources and monitor resource utilization.
JAX-AITER: Bringing AMD’s Optimized AI Kernels to JAX on ROCm™
Use JAX-AITER to run AMD’s AITER-optimized AI kernels from JAX on AMD ROCm, starting with faster multi-head attention and expanding to more ops.
Primus-Pipeline: A More Flexible and Scalable Pipeline Parallelism Implementation
Learn how to use our flexible and scalable pipeline parallelism framework with Primus backend and AMD hardware.
FlyDSL: Expert GPU Kernel Development with the Ease of MLIR Python Native DSL on AMD GPUs
FlyDSL is a Python-first, MLIR-native DSL for expert GPU kernel development and tuning on AMD GPUs.
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.
Advanced MXFP4 Quantization: Combining Fine-Tuned Rotations with SmoothQuant for Near-Lossless Compression
Showcase advanced algorithms available in AMD Quark for efficient MXFP4 quantization on AMD Instinct accelerators with high accuracy retention.
Adaptive Top-K Selection: Eliminating Performance Cliffs Across All K Values on AMD GPUs
Explore adaptive Top-K on MI300X! See how auto-selection and hardware optimizations like DPP and double buffering drive peak efficiency.
Elevate Your LLM Inference: Autoscaling with Ray, ROCm 7.0.0, and SkyPilot
Learn how to use multi-node and multi-cluster autoscaling in the Ray framework on ROCm 7.0.0 with SkyPilot
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.