Recent Posts - Page 7#
Onboard and Deploy Custom Models in AMD AI Workbench
Learn how to deploy custom models in AMD AI Workbench, utilizing the AIM Engine, orchestration, scaling, profile parameters and API keys.
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.
Efficient MiniMax-M3 Inference on AMD Instinct GPUs with ATOM and ATOMesh
Serve and benchmark MiniMax-M3 on AMD Instinct MI355X GPUs using ATOM and ATOMesh with EAGLE3 speculative decoding.
Building a High-Performance Video Inference Pipeline with ROCm Libraries Using C/C++
Learn how to build a powerful, GPU-accelerated video analytics pipeline with ROCm, combining rocDecode for fast hardware video decoding and MIGraphX for efficient AI-powered analysis and inference.
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.
GEAK V3: Agent-Driven, Repository-Level GPU Kernel Optimization across HIP, Triton, and FlyDSL on AMD GPUs
Explore GEAK v3: agent-driven, repository-level GPU kernel optimization across HIP, Triton, and FlyDSL on AMD Instinct™ GPUs.