Recent Posts#
Fast Image Generation and Editing with SGLang Diffusion on AMD GPUs
Serve and benchmark diffusion models for image generation and editing on AMD Instinct GPUs using SGLang Diffusion on ROCm.
Porting High-Performance HIP Kernels to FlyDSL
This blog post shows how to port HIP C++ GPU kernels to FlyDSL, AMD's new Python DSL, matching hand-tuned C++ performance with less code.
AMD Instinct™ Network Traffic, Congestion Trends, and Harmonics in Scale-Out Networks for AI Training Clusters
Explore how synchronized GPU collectives create harmonic congestion in AI clusters and the strategies to diagnose and mitigate it.
SGLang-ATOM: Bring ROCm-Native Acceleration to SGLang Serving
Explore how SGLang-ATOM connects SGLang serving applications with ROCm-native ATOM execution to accelerate LLM inference on AMD Instinct GPUs.
Towards Feature Complete Triton Support in JAX-Triton
Learn what new features were added to JAX-Triton and how that could help you write or reuse more efficient and readable GPU kernels in JAX.
Efficient Hyperparameter Optimization for Autonomous Driving Models with AMD Instinct GPU Partitioning
Accelerate HPO for autonomous driving models using AMD MI300X GPU partitioning for higher throughput, efficiency, and parallelism.
Occupancy Math on the AMD MI355X GPU (CDNA4): A From-First-Principles Guide
Derive MI355X GPU (CDNA4) occupancy by hand: the four limiters, MXFP8 GEMM examples, and why matrix-bound kernels hit peak throughput at low occupancy.
RDC and RocProfiler Compared to DCGM for Commonly Used Metrics
Learn how CLI commands and Python code help you evaluate app performance without a profiler, with examples explaining what each metric means.
Primus Tuning Agent: Closing the Configuration-Search Loop
Use the Primus Tuning Agent to automatically find optimal LLM training configurations on AMD Instinct GPUs.
Accelerating Diffusers and xDiT Image Generation with MXFP4 using AMD Quark on AMD Instinct™ MI350 GPUs
Accelerate Diffusers and xDiT FLUX.1-dev image generation on AMD Instinct MI350 GPUs using AMD Quark MXFP4 quantization.
AgentKernelArena: Benchmarking AI Coding Agents for GPU Kernel Optimization on AMD Instinct GPUs
Explore how AI coding agents compare on real GPU kernel optimization with AgentKernelArena, AMD's open benchmarking arena for Instinct™ GPUs.
Building a GPU-Resident YOLO26 Object Detection Pipeline on the AMD Radeon™ AI PRO R9700 GPU
Build a GPU-resident object detection pipeline on AMD GPUs with rocDecode, DLPack, and MIGraphX. Frames stay in VRAM end to end.