AI Blogs - Page 2#
GPU Partitioning Made Easy: Pack More AI Workloads Using AMD GPU Operator
What’s New in AMD GPU Operator: Learn About GPU Partitioning and New Kubernetes Features
Coding Agents on AMD GPUs: Fast LLM Pipelines for Developers
Accelerate AI-assisted coding with agentic workflows on AMD GPUs. Deploy DeepSeek-V3.1 via SGLang, vLLM, or llama.cpp to power fast, scalable coding agents
Matrix Core Programming on AMD CDNA™3 and CDNA™4 architecture
This blog post explains how to use Matrix Cores on CDNA3 and CDNA4 architecture, with a focus on low-precision data types such as FP16, FP8, and FP4
Day-0 Support for the SGLang-Native RL Framework - slime on AMD Instinct™ GPUs
Learn how to deploy slime on AMD GPUs for high-performance RL training with ROCm optimization
Accelerating Audio-Driven Video Generation: WAN2.2-S2V on AMD ROCm
This blog will highlight AMD ROCm’s ability to power next-generation audio-to-video models with simple, reproducible workflows.
A Simple Design for Serving Video Generation Models with Distributed Inference
Minimalist FastAPI + Redis + Torchrun design for serving video generation models with distributed inference.
Optimizing Drug Discovery Tools on AMD MI300X Part 1: Molecular Design with REINVENT
Learn how to set up, run, and optimize REINVENT4, a molecular design tool, on AMD MI300X GPUs for faster drug discovery workflows
An Introduction to Primus-Turbo: A Library for Accelerating Transformer Models on AMD GPUs
Primus streamlines training on AMD ROCm, from fine-tuning to massive pretraining on MI300X GPUs—faster, safer, and easier to debug
Running SOTA AI-based Weather Forecasting models on AMD Instinct
We look at a few State of the Art AI models in weather forecasting, and demonstrate how to run them on AMD Instinct MI300X in a step-by-step fashion.
AMD-HybridLM: Towards Extremely Efficient Hybrid Language Models
Explore AMD-HybridLM’s architecture and see how hybridization redefines LLM efficiency and performance without requiring retraining from scratch
ROCm 7.0: An AI-Ready Powerhouse for Performance, Efficiency, and Productivity
Discover how ROCm 7.0 integrates AI across every layer, combining hardware enablement, frameworks, model support, and a suite of optimized tools
Efficient LLM Serving with MTP: DeepSeek V3 and SGLang on AMD Instinct GPUs
This blog will show you how to speed up LLM inference with Multi-Token Prediction in DeepSeek V3 & SGLang on AMD Instinct GPUs