Recent Posts - Page 2#
ROCm Gets Modular: Meet the Instinct Datacenter GPU Driver
We introduce the new Instinct driver-a modular GPU driver with independent releases simplifying workflows, system setup, and enhancing compatibility across toolkit versions.
Unlock Peak Performance on AMD GPUs with Triton Kernel Optimizations
Learn how Triton compiles and optimizes AI kernels on AMD GPUs, with deep dives into IR flows, hardware-specific passes, and performance tuning tips
Shrink LLMs, Boost Inference: INT4 Quantization on AMD GPUs with GPTQModel
Learn how to compress LLMs with GPTQModel and run them efficiently on AMD GPUs using INT4 quantization, reducing memory use, shrinking model size, and enabling fast inference
Power Up Llama 4 with AMD Instinct: A Developer’s Day 0 Quickstart
Explore the power of Meta’s Llama 4 multimodal models on AMD Instinct™ MI300X and MI325X GPUs - available from Day 0 with seamless vLLM integration
AMD Instinct™ MI325X GPUs Produce Strong Performance in MLPerf Inference v5.0
We showcase MI325X GPU optimizations that power our MLPerf v5.0 results on Llama 2 70B, highlighting performance tuning, quantization, and vLLM advancements.
Reproducing the AMD Instinct™ GPUs MLPerf Inference v5.0 Submission
A step-by-step guide to reproducing AMD’s MLPerf v5.0 results for Llama 2 70B & SDXL using ROCm on MI325X
Bring FLUX to Life on MI300X: Run and Optimize with Hugging Face Diffusers
The blog will walk you through the FLUX text-to-image diffusion model architecture and show you how to run and optimize it on MI300x.
What's New in the AMD GPU Operator v1.2.0 Release
This blog highlights the new feature enhancements that were released as part of the AMD GPU Operator v1.2.0 release. New features that enhance the use of AMD Instinct GPUs on Kubernetes including Automated Upgrades, Health Checks and Open-sourcing the codebase.
Accelerating LLM Inference: Up to 3x Speedup on MI300X with Speculative Decoding
This blog demonstrates out-of-the-box performance improvement in LLM inference using speculative decoding on MI300X.
Introducing ROCprofiler SDK - The Latest Toolkit for Performance Profiling
Discover ROCprofiler SDK – ROCm’s next-generation, unified, scalable, and high-performance profiling toolkit for AI and HPC workloads on AMD GPUs.
Speculative Decoding - Deep Dive
This blog shows the performance improvement achieved by applying speculative decoding with Llama models on AMD MI300X GPUs, tested across models, input sizes, and datasets.
Efficient MoE training on AMD ROCm: How-to use Megablocks on AMD GPUs
Learn how to use Megablocks to pre-train GPT2 Mixture of Experts (MoE) model, helping you scale your deep learning models effectiveness on AMD GPUs using ROCm