Software tools & optimizations#
Discover the latest blogs about ROCm software tools, libraries, and performance optimizations to help you get the most out of your AMD hardware.
Closing the GPU Cluster Validation Gap: A Kubernetes-Native Approach with CVF
Learn how to validate AMD GPU clusters end-to-end with CVF: hardware acceptance, mesh bandwidth, RDMA, and RCCL testing in one pipeline.
AMD GPU Operator v1.5.0: DRA Support, Automated GPU Node Recovery, and Expanded Kubernetes Infrastructure Control
Discover how AMD GPU Operator v1.5.0 improves GPU scheduling, automates node recovery, and expands Kubernetes control.
Attention Decode on AMD MI450 GPUs: A Gluon Kernel Optimization Guide
Learn how to design a high-performance attention decode kernel on AMD MI450 GPUs using Gluon.
Serve Kimi-K2.5-MXFP4 on MI355X with ATOM
Serve Kimi-K2.5-MXFP4 on MI355X with ATOM and gfx950 block-scaled FP4 kernels for optimized LLM inference.
Hyperloom - Autonomous Agentic Inference Optimization for AMD GPUs
Hyperloom is a new open-source, agentic system aimed at automating the time-consuming task of optimizing end-to-end inference workloads.
Introducing AMD ROCm™ Infera: Scaling Goodput for Agentic AI with Distributed Inference Orchestration
Explore how AMD ROCm Infera orchestrates distributed inference to scale goodput for agentic AI on AMD Instinct GPUs.
Spur: Modern GPU Job Scheduling for HPC and AI Workloads
Explore how Spur addresses pain points in GPU cluster management and how Spur-Cloud extends the platform into a complete GPU-as-a-Service solution.
Deploy an Imaging AMD Solution Blueprint on AMD Radeon™ GPUs
Learn how to deploy AMD Solution Blueprints on AMD Radeon™ GPUs by following a hands-on example of deploying the MRI Analysis Tool Solution Blueprint
Introducing ROCm™ AMD Infinity Context: A Purpose-Built KV Cache Tier for Distributed Inference
Explore ROCm AMD Infinity Context (AIC), AMD's open KV cache tier built on AMD Infinity Storage for distributed LLM inference.
Scaling MiniMax-M3 Inference with Distributed Serving and Operator Co-Design on AMD Instinct MI355X GPUs
Optimize MiniMax-M3 inference on AMD Instinct™ MI355X GPUs with ATOM online quantization, AITER sparse attention, FP8 KV cache, and EAGLE3.
Understanding Attention Algorithms and Their Backends for Image and Video Generation
Practical guide to attention backends in ComfyUI on AMD describing how to optimize performance, memory, and stability with the right configuration.
SPIR-V on ROCm: A Portable IR for AMD GPUs
Learn how SPIR-V brings compile-once, specialize-on-device portability to AMD GPUs — with a reproducible HIP benchmark, trade-off analysis, and quick-start guide.