AI Blogs - Page 13#
High-Throughput BERT-L Pre-Training on AMD Instinct™ GPUs: A Practical Guide
Learn how to optimize BERT-L training with mixed precision and Flash Attention v2 on AMD Instinct GPUs — follow our tested MLPerf-compliant step-by-step guide.
Scale LLM Inference with Multi-Node Infrastructure
Learn how to horizontally scale LLM inference using open-source tools on MI300X, with vLLM, nginx, Prometheus, and Grafana.
From Theory to Kernel: Implement FlashAttention-v2 with CK-Tile
Learn how to implement FlashAttention-v2 with CK-Tile: minimize memory overhead, maximize compute efficiency, and scale on AMD GPUs
AMD Integrates llm-d on AMD Instinct MI300X Cluster For Distributed LLM Serving
AMD Integrates llm-d on AMD Instinct MI300X Cluster For Distributed LLM Serving
Step-Video-T2V Inference with xDiT on AMD Instinct MI300X GPUs
Learn how to accelerate text-to-video generation using Step-Video-T2V, a 30B parameter T2V model, on AMD MI300X GPUs with ROCm—enabling scalable, high-fidelity video generation from text
DataFrame Acceleration: hipDF and hipDF.pandas on AMD GPUs
This blog post demonstrates how hipDF significantly enhances and accelerates data manipulation, aggregation, and transformation tasks on AMD hardware using ROCm.
CuPy and hipDF on AMD: The Basics and Beyond
Learn how to deploy CuPy and hipDF on AMD GPUs. See their high-performance computing advantages, and use CuPy and hipDF in a detailed example of an investment portfolio allocation optimization using the Markowitz model.
Beyond Text: Accelerating Multimodal AI Inference with Speculative Decoding on AMD Instinct™ MI300X GPUs
This blog shows you how to speedup your multimodal models with AMD’s open-source PyTorch tools for speculative decoding on MI300X GPUs
Boosting Llama 4 Inference Performance with AMD Instinct MI300X GPUs
Learn how to boost your Llama 4 inference performance on AMD MI300X GPUs using AITER-optimized kernels and advanced vLLM techniques
Power Up Qwen 3 with AMD Instinct: A Developer’s Day 0 Quickstart
Explore the power of Alibaba's QWEN3 models on AMD Instinct™ MI300X and MI325X GPUs - available from Day 0 with seamless SGLang and vLLM integration
Reinforcement Learning from Human Feedback on AMD GPUs with verl and ROCm Integration
Deploy verl on AMD GPUs for fast, scalable RLHF training with ROCm optimization, Docker scripts, and impressive throughput-convergence results
A Step-by-Step Guide On How To Deploy Llama Stack on AMD Instinct™ GPU
Learn how to use Meta’s Llama Stack with AMD ROCm and vLLM to scale inference, integrate APIs, and streamline production-ready AI workflows on AMD Instinct™ GPU