Developers - Software Tools & Optimizations#
Optimizing ATOM and vLLM-ATOM for High-Interactivity Inference
Cut per-token latency on AMD Instinct MI355X GPUs: see how ATOM, vLLM-ATOM, and AITER strip fixed costs out of the LLM decode path.
Exploring XGBoost: A Deep Dive
A single source explanation of XGBoost features and its working principles.
Memory Instruction Scheduling for Lock-Stepped Kernels on AMD Instinct™ MI300X: Introducing the Series
Explore how instruction scheduling eases stalls on AMD Instinct MI300X in a new blog series. This intro covers the motivating example and methodology.
Bring Claude Code On‑Prem with AMD Instinct GPUs
Start running Claude Code securely with a self-hosted SGLang LLM on AMD Instinct MI355X GPUs.
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.
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.
Performance Profiling on AMD GPUs – Part 5: Profiling-Driven Kernel Optimization with an AI Code-Assist Tool
Ready to slash HIP kernel runtimes? See how ROCm profiling + an AI code-assist agent delivered a 28.3× speedup on AMD Instinct MI250.
LogsLop: A Tiny Summarization Tool for Enormous Log Files
LogsLop deduplicates repetitive log lines so humans and LLMs can find failures in enormous log files.
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.