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    • Rocm benchmark.

  • Rocm benchmark . To learn more about the options for latency and throughput benchmark scripts, see ROCm/vllm. 71 (until v6 comes out). Apr 23, 2021 · I compared the performance of the two GPUs using a sequence of complex-complex large 3d FFTs in ROCm. ROCm provides a comprehensive ecosystem for deep learning development, including open-source libraries for optimized deep learning operations and ROCm-aware versions of deep learning frameworks such as PyTorch, TensorFlow, and JAX. May 7, 2025 · ROCm Bandwidth Test. 最近在整理python-based的benchmark代码，反过来在NV的GPU上又把Triton装了一遍，发现Triton的github repo已经给出了对应的llvm的commit id以及对应的编译细节，然后跟着走了一遍，也顺利的安装成功，只需要按照如下方式即可完成NV GPU上的安装， Jun 9, 2023 · I recently upgraded to a 7900 XTX GPU. The computation hardware has different specializations from other data types, leading to improvement in performance if a faster datatype can be selected for the corresponding task. The published documentation is available at ROCm Performance Primitives (RPP) in an organized, easy-to-read format, with search and a table of contents. AMD needs to enhance ROCm’s performance and integration with popular software to gain developers’ trust. 0 Torch uses MIOpen, ROCBlas, and RCCL to provide optimal performance on AMD GPUs Pytorch can be installed with ROCm support via pip May 13, 2025 · The page is aimed at helping users achieve optimal performance for deep learning and other high-performance computing tasks on the MI300X GPU. Apr 15, 2024 · The unit test confirms our kernel is working as expected. With that out of the way ROCm is absolutely viable for Python and machine learning (on linux). Captures the performance characteristics of buffer copying and kernel read/write operations. x it/s which is the limit at the moment, at least in my testing. A step-by-step guide to setting up llama. Suitable for developers who want to manually install frameworks like PyTorch. HPL, or High-Performance Linpack, is a benchmark which solves a uniformly random system of linear equations and reports floating-point execution rate. Notably, we’ve added: Full support for Ubuntu 22. The bench says about 30% performance drop from the nvidia to the amd, but I’m seeing more like a 85% performance drop ! I’m able to process at full gpu utilization about 9/10 times more batches per second with the nvidia card than with the amd. Dec 22, 2024 · AMD’s training performance is also held back as the MI300X does not deliver strong scale out performance. csv) are integrated into the optimized Docker, use the vLLM benchmarking tool, it automatically utilize the pre-tuned GEMM for optimal performance. 1 regression. I’d been using TensorFlow. To learn more, refer to the documentation. Contribute to ROCm/hip-rdma-perftest development by creating an account on GitHub. New ROCm component. This repository provides a comprehensive benchmarking framework to evaluate the performance of GEMM (General Matrix Multiply) and Attention operations across multiple ROCm backends, including IREE, rocBLAS, hipBLASLt, Triton, and PyTorch. In addition Apr 15, 2025 · See vLLM performance optimization for performance optimization tips. Mar 28, 2025 · Fine-tuning using ROCm involves leveraging AMD’s GPU-accelerated libraries and tools to optimize and train deep learning models. PyTorch training results on the AMD Instinct MI325X platform. Feb 21, 2025 · The benchmark results are saved to a timestamped directory in the folder mapped to /data/benchmarks. 2. Besides ROCm, our Vulkan support allows us to generalize LLM Jan 29, 2025 · Optimizing LLM performance on GPUs is challenging due to diverse model needs, memory constraints, and balancing latency and throughput. Nov 25, 2024 · ROCm 6. More specifically, AMD Radeon™ RX 7900 XTX gives 80% of the speed of NVIDIA® GeForce RTX™ 4090 and 94% of the speed of NVIDIA® GeForce RTX™ 3090Ti for Llama2-7B/13B. rocHPL is created using the HIP programming language and optimized for AMD's latest discrete GPUs. 4) and observe the following results, annotated next to your original results. Starting with the last but one linux driver update (Oct as I recall), the 7900xtx is supported on rocm - latest ROCM update is v5. 4: Breaking Barriers in AI, HPC, and Modular GPU Software. vLLM seamlessly supports many Hugging Face models, including the following architectures: Aquila & Aquila2 ( BAAI/AquilaChat2-7B , BAAI/AquilaChat2-34B , BAAI/Aquila-7B , BAAI/AquilaChat-7B , etc. To get started, build RCCL-tests using the official instructions in the README at ROCm/rccl-tests or use the following commands: Dec 7, 2018 · I’ve experienced with a 580 radeon, and a 1080 Ti. 0 OpenCL Performance Display Drivers : 2019-01-19: Taking Radeon ROCm 2. 4, the latest version as of now) on W10! Benchmark tool for multiple models on multi-GPU setups. 2 serving benchmark on a single node AMD Instinct MI300X GPU (8 GPUs) with concurrency up to 16 looks, serviceable with less than 50ms TPOT, using batch size 1, 2, 4, 8, 16, 32 While Vulkan can be a good fallback, for LLM inference at least, the performance difference is not as insignificant as you believe. I compared the 7900 XT and 7900 XTX inferencing performance vs my RTX 3090 and RTX 4090. rocHPCG is a benchmark based on the HPCG benchmark application, implemented on top of AMD's Radeon Open eCosystem Platform ROCm runtime and toolchains. This result is based on the Docker container (rocm/pytorch-training:v25. For now, NVIDIA CUDA remains the top choice for AI development due to its unmatched performance and deep integration with software. AMD GPUs: see the list of compatible GPUs. It’s best to check the latest docs for information: https://rocm. Depending on your system, the build process might take a significant amount of time. In this blog, we’ve demonstrated how to install Flash Attention with ROCm support and benchmark its performance in two ways: As a standalone module, to measure the speedup of the Flash Attention algorithm over SDPA. 50 vs. The Docker image includes ROCm, vLLM, and PyTorch. Apr 11, 2025 · In the rapidly evolving landscape of high-performance computing and artificial intelligence, innovation is the currency of progress. cpp work well with ROCm on a Ryzen 7 5700U-powered system. 1-onnxruntime1. Open-source advantage: ROCm, the open-source platform powering AMD’s GPU ecosystem, fosters a collaborative environment and continuous development. Jan 19, 2024 · For AMD to truly challenge CUDA, they must double down on ROCm documentation, performance and compatibility. They show possible GPU performance improvements by using later PyTorch versions and features, compares the achievable GPU performance and scaling on multiple GPUs. Image 1: AMD MI250 GPU performance improvement for TorchInductor vs eager-mode using HuggingFace MI200-89. 4. AMD Megatron-LM delivers enhanced scalability, improved performance and resource utilization for AI workloads. 04, ROCm dev-ubuntu-20. Apr 2, 2025 · The performance achieved on MI325X compared to Nvidia H200 in MLPerf Inference for SDXL benchmark is shown in the figure below, MLPerf submission IDs 5. I find it helpful to run these tests with different batch sizes and model configurations to find the optimal settings for your specific use case. AMD ROCm documentation AMD ROCm. Benchmarks# We use Triton’s benchmarking utilities to benchmark our Triton kernel on tensors of increasing size and compare its performance with PyTorch’s internal gelu function. 3 potentially working with the Radeon RX 9070 series, I tried it out. However, I've managed to test a 6800 XT with tensorflow-directml (1. 4 isn’t just another software update—it’s a leap forward that redefines the boundaries of what is possible for AI, developers, researchers, and enterprise innovators. 04 it/s for A1111. Mar 22, 2024 · Set up ROCm 6. This documentation supports the implementation of the HPL benchmark on top of AMD’s ROCm platform. Getting Started# Axolotl relies on multiple packages that must be built from source to run with ROCm support, so this experiment includes a Dockerfile to streamline the installation process. In this section, we discuss how to measure device-to-device communication bandwidth with the OSU Oct 18, 2023 · Anyways, I reran your test on a 7900XTX using a recent release of ROCm (6. 7. 5 times on AMD MI210 with ROCm. 0. May 13, 2025 · The ROCm software platform makes it easier to train models on AMD GPUs while maintaining compatibility with existing code and tools. 0 which includes Bert-large, Distilbert-base, GPT-2, facebook/Bart-large and Roberta-large. Throughput benchmark The benchmark was conducted on various LLaMA2 models, which include LLaMA2-70B using 4 GPUs, LLaMA2-13B using 2 GPUs, and LLaMA2-7B using a single GPU. This is due to its weaker ROCm Compute Communication Library (RCCL) and AMD’s lower degree of vertical integration with networking and switching hardware compared to Nvidia’s strong integration of its Nvidia Collective Communications Radeon ROCm 2. A client solution built on powerful high-end AMD GPUs enables a local, private, and cost-effective workflow to develop ROCm and train Machine Learning for ROCm Bandwidth Test documentation# ROCm Bandwidth Test (RBT) is a ROCm application for reporting system information. Run the LLM performance benchmark using the vLLM benchmarking tool. A command-line interface (CLI) for executing profiling workflows. As a result, many high-performance computing (HPC) applications have begun adapting to the ROCm software stack, with a significant portion achieving advanced stages of development and delivering impressive performance. In a nutshell, vLLM optimizes GPU memory utilization, allowing more efficient handling of large language models (LLMs) within existing hardware constraints, maximizing throughput and minimizing latency. Jan 31, 2025 · ROCm™ has emerged as a premier open software stack designed to address the evolving needs of AI and machine learning workloads. There are four main steps to set up your own system to try to generate the results of the first entry in the submission. But executing that vision will Mar 21, 2025 · We also included performance comparisons against Nvidia H200 GPUs and a short demo application illustrating real-world usage. just google benchmarks, make sure the benchmark is using ROCm and not directml nor shark. May 13, 2025 · The ROCm/rccl-tests suite benchmarks the performance and verifies the correctness of these collective operations. rocHPL-MxP Jan 20, 2025 · In my small sample size most people get better performance and less vRAM consumption on ROCm compared to DirectML. Memory bandwidth is pretty close between these cards and although the 4090 has higher FP32 performance the FP16 performance on the XTX is much higher -- provided the dual-issue SIMIDs can be taken advantage of. Eg. Installation# To access the latest vLLM features on ROCm, clone the vLLM repository and build the Docker image using the commands below. compile significantly enhances the performance of ResNet-152 by more than 3. NVIDIA's Linux Driver Display Drivers : 2019-01-30: AMDGPU-PRO 18. Apr 15, 2025 · ROCm library tuning involves optimizing the performance of routine computational operations (such as GEMM) provided by ROCm libraries like hipBLASLt, Composable Kernel, MIOpen, and RCCL. vLLM Container for Inference and Benchmarking vLLM inference. Docker image compatibility# AMD validates and publishes ready-made ROCm JAX Docker images with ROCm backends on Aug 28, 2023 · Finally, Stable Diffusion SDXL with ROCm acceleration and benchmarks In this post I'd just like to write how ROCm support by AMD and the ecosystem python, pytorch,. 2 brings pro-level performance for Large Language Model inference via vLLM and Flash Attention 2. NOTE: If comparing --distributed_dataprallel performance with torchrun one, you need to multiply the --batch-size with number of nodes in the torchrun command. Endnotes# [1] On average, a system configured with an AMD Instinct™ MI300X GPUs shows 1. Explore ROCm 6. For detailed information about available models for benchmarking, see the version-specific documentation. 3x performance boost on Dec 1, 2024 · It’s official: we’ve successfully ported vLLM’s GGUF kernel to AMD ROCm, and the performance results are remarkable. cpp with Vulkan This is similar to the Apple Silicon benchmark thread, but for Vulkan! Many improvements have been made to the Vulkan backend and I think it's good to consolidate and discuss our results here. Here's how easy it has become (at least if you're running Fedora) : Grab the Fedora repo. When running without MPI, a command similar to the following one should be sufficient: rocHPL is a benchmark based on the HPL benchmark application, implemented on top of AMD's Radeon Open Compute ROCm Platform, runtime, and toolchains. Use the following instructions to set up the environment, configure the script to train models, and reproduce the benchmark results on the MI300X Nov 9, 2023 · Accelerate Inferencing on AMD RDNA3 GPUs with Composable Kernel library Hello, and welcome to the AMD RDNA3 GPU High Performance Inferencing blog post. compile # The Vision Transformer (ViT) is a transformer encoder model (BERT-like) pre-trained on a large collection of images in a supervised fashion, namely If they run on Pytorch and Tensorflow, they both now natively support ROCm. nktice/AMD-AI: AMD (Radeon GPU) ROCm based setup for popular AI tools on Ubuntu 22. cpp HEAD, but text generation is +44% faster and prompt processing is +202% (~3X) faster with ROCm vs Vulkan. OpenCL has not been up to the same level in either support or performance. I just ran a test on the latest pull just to make sure this is still the case on llama. Jun 8, 2023 · Noel Chalmers is a Senior Member of Technical Staff (SMTS) in the Data Center GPU Software Solutions Group at AMD. 0, and includes the dynamic libraries specific to this version of ROCm needed to run NAMD. Apr 22, 2025 · ROCm library tuning involves optimizing the performance of routine computational operations (such as GEMM) provided by ROCm libraries like hipBLASLt, Composable Kernel, MIOpen, and RCCL. Minimal Docker image with ROCm software on Ubuntu 22. The Inception with PyTorch documentation describes how PyTorch integrates with ROCm for AI workloads It outlines the use of PyTorch on the ROCm platform and focuses on efficiently leveraging AMD GPU hardware Jan 19, 2025 · NVIDIA’s investment in optimizing these frameworks for CUDA ensures developers can achieve top-tier performance out of the box. Additionally, the benchmarks offer the following options: "-f" * can be used to report additional statistics of the benchmark, such as min * and max latencies and the number of iterations. Jul 26, 2024 · Benchmark. Unfortunately, the performance is almost identical on similar hardware, with the non-Pro winning by a few percent. With an appropriate library search path, this should allow users to run NAMD without downloading the full ROCm stack immeadiately. This is absolutely NOT an official AMD benchmark of any kind, I just ran your benchmark locally to spare you from updating ROCm to latest and rerunning things yourself. However, I wanted to try out some machine learning on it. ) Oct 11, 2024 · AMD ROCm 6. Downgrading ROCm is not trivial, as Ollama depends on its installed version. The performance work that we did for DirectML was originally focused towards inference, which is one of the reasons it is currently slower than the alternatives for TensorFlow. Sep 19, 2024 · ROCm: see the installation instructions. On some earlier versions of ROCm (before ROCm 6. In this blog we will delve into how using the SGLang framework, critical kernel optimizations like AI Tensor Engine for ROCm™, and hyperparameter tuning helps to achieve performance boosts. Run the rocm onnxruntime model training benchmarks packaged in docker superbench/benchmark:rocm4. Hardware verification with ROCm showed the rocm-smi--showtopo command to show how the system structure and how the GPUs are located and connected in this structure. is a mess but it finally works! At least for my CPU / APU, AMD Ryzen 7 7700 glx1036 / 48Gb RAM @ 5200Mhz. Apr 28, 2025 · AITER Github: ROCm/aiter. Dec 19, 2023 · SYCL can get pretty much equivalent performance in Kernels to eg. rocDecode, a new ROCm component that provides high-performance video decode support for AMD GPUs. (Well, there is also OpenCL support via Clover Gallium3D but that is still a work-in-progress and lacking OpenCL image support among other features Feb 14, 2025 · After reading, users will know how AMD measures maximum delivered performance, and how AMD recommends measured device performance is used. Historically, terms such as peak FLOPs, max achievable FLOPs, and delivered FLOPs have been used interchangeably, creating confusion and incorrect comparisons. 1 release consists of new features and fixes to improve the stability and performance of AMD Instinct™ MI300 GPU applications. Troubleshooting Attempts Setting performance mode to compute (rocm-smi --setperflevel compute) → No effect Manually setting GPU clocks (rocm-smi --setclk OD) → No Dec 15, 2023 · Stable Diffusion Benchmarks: 45 Nvidia, AMD, and Intel GPUs Compared : Read more However AMD on Linux with ROCm support most of the stuff now with few limitations and it runs way faster than Mar 23, 2025 · Generally, however, NVIDIA’s CUDA has maintained a performance lead in most AI benchmarks (often sweeping categories in MLPerf tests), whereas AMD’s ROCm can achieve competitive performance in Jun 22, 2023 · 用7900XTX做了一点点AI测试，感觉AMD的ROCM目前还是不太行,测试如下，大家可以下我的代码一起测试，模型大概是用lstm神经网络预测股票价格，测试只改变了lstm神经网络的hidden_dim（这个hidden_dim在jupyter notebook的某一个代码单 ,电脑讨论(新),讨论区-生活与技术的讨论 ,Chiphell - 分享与交流用户体验 I recently picked up a 7900 XTX card and was updating my AMD GPU guide (now w/ ROCm info). GPUs AMD-optimized Stable Diffusion models achieve up to 3. 1x Llama 4 throughput performance boost using vLLM. We would like to show you a description here but the site won’t allow us. 0 OpenCL For A Benchmarking Test Drive Display Drivers : 2018-12-28 引言. The results show a high level of competitive performance of the AMD solution vs competing solutions. Tags: ROCm dev-ubuntu-22. In this blog post, we will discuss how to use Jun 10, 2022 · This week's release of Blender 3. Kernel-level profiling for machine learning and high performance computing (HPC) workloads. For more details, the rocm-bandwidth-test can run benchmarks to show the effective link bandwidth between the components of the system. May 23, 2024 · Benefits of AMD + ROCm for Ollama: Cost-effective performance: AMD GPUs offer exceptional value for money, making them a great choice for budget-conscious LLM enthusiasts. CUDA. In our benchmarks, vLLM has shown superior performance compared to Ollama on an AMD Radeon 7900XTX, even at a batch size of 1, where Ollama typically excels. The Help screen of the benchmark shows various options for initiating copy, read, or write operations. Compatible to CUDA (NVIDIA) and ROCm (AMD). 2 brings AMD GPU rendering support on Linux via AMD's HIP interface in conjunction with their ROCm compute stack. May 15, 2024 · Flash Attention is a fast and memory-efficient implementation of self-attention that is both exact and hardware-aware. To get started, clone the rocm-blogs repository and navigate to the src folder to build the Dockerfile Jul 11, 2024 · From the graph, we observe that torch. "-m" option can be used * to set the maximum message length to be used in a benchmark. 0), setting HSA_NO_SCRATCH_RECLAIM=1 as part of the environment is necessary to achieve better performance on MI300 GPUs. Besides being great for gaming, I wanted to try it out for some machine learning. ROCm Compiler. And ROCm now natively supports by official decree, Radeon Graphics cards, like 6800 and above for both HIP SDK and Runtime. Understanding deepseek and rocm: A technical overview Benchmarking methodology: rigorous performance evaluation Performance analysis: deepseek on AMD GPUs Optimization strategies for AI workloads on AMD ROCm Conclusion: the future of AI computing on AMD ROCm Introduction Understanding deepseek and rocm: A technical overview Benchmarking methodology: rigorous performance Jun 11, 2019 · One of the other areas I was curious to see how the Linux performance evolved in the few months since the original Radeon VII Linux benchmarks was checking on the ROCm OpenCL performance. ROCm Compute Profiler and ROCm Systems Profiler# These ROCm components have been renamed to reflect their new direction as part of the ROCm software stack. 1 driver for Ubuntu Linux supports PyTorch 2. Sep 13, 2023 · We executed the benchmark by utilizing the official vLLM script. ROCm Device-Libs, ROCm Compiler Support, and hipCC are now located in the llvm-project/amd subdirectory of AMD's fork of the LLVM project. 4's key advancements: AI/HPC performance boosts, enhanced profiling tools, better Kubernetes support and modular drivers, accelerating AI and HPC workloads on AMD GPUs. Jul 11, 2024 · From the graph, we observe that torch. Amd's stable diffusion performance now with directml and ONNX for example is at the same level of performance of Automatic1111 Nvidia when the 4090 doesn't have the Tensor specific optimizations. Performance Comparison on shareGPT Dataset: This partnership ensures that developers are fully equipped to leverage the DeepSeek-V3 model on AMD Instinct™ GPUs right from Day-0 providing a broader choice of GPUs hardware and an open software stack ROCm™ for optimized performance and scalability. The source files provided can be compiled with ROCm 3. Most ML frameworks have NVIDIA support via CUDA as their primary (or only) option for acceleration. Obtaining decent performance with NVIDIA hardware requires a fairly significant investment. 0 introduces the rocJPEG library to the ROCm software stack. The contents are structured according to the hardware: AMD RDNA Aug 12, 2024 · Moreover, ROCm’s flexibility allows organizations to integrate the platform with their existing infrastructure more seamlessly, making it easier to optimize performance and reduce overhead costs. Even if nothing changes 80% the performance still means the 7900XTX is punching well above its price bracket. The upgrade itself went quite smoothly from both a hardware and software perspective. ROCm Compute Profiler. see [1]. Feb 17, 2024 · AMD ROCM有没有明显的坑？,主要为了学习AI和做一些小的项目，春节期间把Windows平台迁到了Ubuntu。手上的显卡目前就一张7900xtx、Telsa P40、Intel A770。之前的方案是P40强开WDDM，使用WSL做一些 ,电脑讨论(新),讨论区-生活与技术的讨论 ,Chiphell - 分享与交流用户体验 The Training a model with PyTorch for ROCm performance testing guide has been updated to feature the latest ROCm/pytorch-training Docker image. Combined projects. This document examines how hardware utilization, memory and communication bandwidth and scaling, contribute to inference performance, detailing optimal configurations for AMD Instinct™ MI300X GPUs. That being said, the Mar 28, 2025 · This guide outlines system setup and tuning suggestions for AMD hardware to optimize performance for specific types of workloads or use-cases. This tuning aims to maximize efficiency and throughput on Instinct MI300X accelerators to gain improved application performance. Flex Attention : Delivers a significant performance leap over ROCm 6. This guide demonstrates how to use the AMD Model Automation and Dashboarding (MAD) tool with the ROCm PyTorch container to test inference performance on various models efficiently. > And I guess XTX performance can increase with rocm updates and amd drivers? Note. Noel is the lead developer of the rocHPL benchmark, AMD's optimized implementation of the well-known LINPACK benchmark which is responsible for achieving over 1 Exaflop of performance on the Frontier supercomputer at ORNL. High-performance computing workloads # High-performance computing (HPC) workloads have unique requirements. Using Linux 6. Pytorch benchmarks for current GPUs meassured with this scripts are available here: PyTorch 2 GPU Performance Benchmarks Jul 1, 2023 · I recently upgraded to a 7900 XTX GPU. Comprehensive profiling and tracing of applications running on the CPU or the CPU and GPU Oct 30, 2024 · ROCm library tuning involves optimizing the performance of routine computational operations (such as GEMM) provided by ROCm libraries like hipBLASLt, Composable Kernel, MIOpen, and RCCL. Nov 18, 2020 · The only OpenCL support option right now is the ROCm-based OpenCL code path found in the packaged driver and presumably within the open-source ROCm repository shortly. Install ROCm packages: dnf install rocm-opencl rocm-smi rocminfo rocm-hip Oct 11, 2024 · In this blog, we’ll demonstrate the latest performance enhancements in vLLM inference on AMD Instinct accelerators using ROCm. 04 (github. 8) was made available for AMD GPUs with ROCm 4. Dec 3, 2024 · ROCm 6. 9. Feb 21, 2025 · ROCm 6. 5 release). To learn more about system settings and management practices to configure your system for MI300X accelerators, see AMD Instinct MI300X system optimization Mar 5, 2025 · But with indications of ROCm 6. 0 or above. Support NVIDIA CUDA and AMD ROCm. Feb 21, 2025 · [1] Figure 1 herein represents the results of inference performance testing by AMD over 2 weeks in February 2025, with the DeepSeek R-1 FP8 LLM, running the SGLang 0. At a Glance# Feb 6, 2025 · 2). compile # The Vision Transformer (ViT) is a transformer encoder model (BERT-like) pre-trained on a large collection of images in a supervised fashion, namely 本文首发于GiantPandaCV,未经作者允许不得转载. rocJPEG is a high performance JPEG decode SDK for AMD GPUs. Mar 13, 2025 · The ROCm Megatron-LM training docker is designed to enable efficient training of large-scale language models on AMD Instinct MI300X and MI325X GPUs. Oct 31, 2023 · People really don’t like ROCm, and with a reason. Option 1: Start from ROCm software only. Ai-benchmark seems outdated and doesn't give reliable results. Download the Llama 2 70B model. Note: ensure rocm-cmake is installed, apt install rocm-cmake. Apr 4, 2024 · まえがき ROCmを試すためにRadeon Instinct MI50を買ってみて、PyTorchで使えるようにセットアップをしたのが前回。 hashicco. Windows support is still incomplete, and tooling hasn't quite caught up (like CMAKE integration for Windows ROCm) and small things here and there. Summary# The ROCm Validation Suite (RVS) is a system validation and diagnostics tool for monitoring, stress testing, detecting and troubleshooting issues that affects the functionality and performance of AMD GPU(s) operating in a high-performance/AI/ML computing environment. To build the RCCL package and install package : Assuming you have already cloned this repository and built the library as shown in the previous section: We are looking forward to continued engagement with members of the PyTorch team at Meta to enable further optimization on ROCm software stack and the additional performance improvement for future PyTorch releases. 1 improves performance for transformer-based models with support for Flash Attention, which boosts the memory efficiency of popular models such as BERT, GPT, and Stable Diffusion, helping ensure faster, more power-efficient processing of complex neural networks. Used by third-party profiling tools and ROCm-based profilers like ROCm Systems Profiler, ROCm Compute Profiler, and rocprofv3 CLI tool. I've been using an 7900XTX using directml on Windows and rocm 5. Any supported Linux distributions supported by the version of ROCm you are using. 3 introduces multi-node FFT support in rocFFT, enabling high-performance distributed FFT computations. 5), which was released on April 15, 2025. Dec 2, 2022 · Unlike CUDA, the ROCm software stack can take advantage of several domains, such as general-purpose GPGPU, high-performance computing (HPC), and heterogeneous computing. Dec 18, 2024 · Performance of llama. The documentation source files reside in the docs folder of this repository. 3 packages, I was able to get the Radeon RX 9070 series graphics cards detected by the ROCm software, including working OpenCL support too. The latest AMD ROCm 6. Aug 9, 2023 · MLC-LLM makes it possible to compile LLMs and deploy them on AMD GPUs using ROCm with competitive performance. For more information, see vLLM inference performance testing. com 今回は取ったベンチマークの結果をご紹介！ まとめ ROCmは本当にほぼコード変更無しでCUDA用のTensorFlow、PyTorch、Transformersのコードが動く。素晴らしい。 1GPUであればMI50 May 13, 2025 · This guide helps users achieve optimal performance for deep learning and other high-performance computing tasks on the MI300X accelerator. Here are those results up against NVIDIA with their proprietary Linux graphics driver. Jun 8, 2023 · Performance measurement with the OSU microbenchmarks# The OSU microbenchmarks provide a series of MPI benchmarks to measure the performance of various MPI operations including point-to-point, collective, host-based, and device-based communications. 12 release. The pre-compiled binary was compiled with ROCm 3. 04; Option 2: Start from the ROCm software with PyTorch Verbs/RDMA benchmarks with ROCM support. I also ran some benchmarks, and considering how Instinct cards aren't generally available, I figured that having Radeon 7900 numbers might be of interest for people. With the ROCm support for PyTorch move from “Beta” to “Stable,” all the functions and features commits are now verified through a full Continuous Integration (CI) process. Aug 25, 2023 · In the past two years, numerous world-leading supercomputers have embraced AMD GPUs as heterogeneous accelerators. Customizing Benchmark Parameters# Apr 11, 2025 · The ROCm open-source software stack is optimized to extract high-performance computing (HPC) workload performance from AMD Instinct™ accelerators while maintaining compatibility with industry software frameworks. Games worked great out of the box with no driver or other configuration needed - as plug and play as it could possibly get. Accelerate Vision Transformer with torch. Oct 17, 2023 · AMD's ROCm 5. See the ROCm Quick start installation guide for information on how to install ROCm. This helps ensure optimal scaling for multi-accelerator tasks. These new GPUs based on the RDNA 4 architecture join the already-supported Radeon 7000 series built on RDNA 3, further expanding support for high-performance local ML development on Linux®. 0-0060, respectively. May 13, 2025 · The ROCm PyTorch Docker image offers a prebuilt, optimized environment for testing model inference performance on AMD Instinct™ MI300X series accelerators. 0 OpenCL Benchmarks With Linux 5. Eager to see the AMD GPU support on Linux finally arrive, I quickly began trying out this new Blender open-source 3D modeling software release while seeing how the AMD RDNA2 HIP performance compares to that of NVIDIA GeForce RTX 30 GPUs that have Different quantization data types are typically chosen between training (FP32, BF16) and inference (FP16, INT8). A new topic, Hardware atomics operation support, discusses the support for atomic read-modify-write (atomicRMW) operations on gfx9, gfx10, gfx11, gfx12, MI100, MI200 and MI300 AMD GPUs. An overview of PyTorch performance on latest GPU models. rocprofv3 Tool. You can visit our Github page to find the steps necessary to replicate the results. This container should not be expected to provide generalized performance across all training workloads. Sep 12, 2024 · This guide outlines system setup and tuning suggestions for AMD hardware to optimize performance for specific types of workloads or use-cases. rocHPL. OC brings the card to 16. 14 Git for the latest upstream AMDGPU and AMDKFD kernel drivers paired with the latest ROCm 6. Try looking at SYCL performance papers on Arxiv. ROCm provides a prebuilt optimized Docker image for validating the performance of LLM inference with vLLM on the MI300X accelerator. Contribute to ROCm/rocPRIM development by creating an account on GitHub. 5 on Linux for ~2 months now (using the leaked rc before the official 5. For more information, see the rocJPEG documentation. We are now ready to benchmark our kernel and assess its performance. rocHPCG is created using the HIP programming language and optimized for AMD's latest discrete GPUs. Full Continuous Integration (CI) for ROCm on PyTorch. Previously Apr 14, 2025 · ROCm 6. May 13, 2025 · This table lists previous versions of the ROCm PyTorch training Docker image for training performance validation. ROCm spans several domains: General-Purpose computing on GPUs (GPGPU), High Performance Computing (HPC) and heterogeneous computing. x and Pytorch Pytorch is a python package based on the Torch machine learning library In March 2021, Pytorch (v1. 04. 10 vs. My observation is that • Updating SE mode for new ROCm versions is time consuming • Ideally, avoid updating gem5 every time ROCm is updated • Solution: add GPU FS mode support • Can checkpoint and fast-forward to focus on simulating ROIs • Newer ROCm versions more easily supported • Enables studying full impact of drivers on ML applications Mar 21, 2025 · In this blog we introduced AMD’s AI Tensor Engine for ROCm (AITER), our centralized high performance AI operators repository, designed to significantly accelerate AI workloads on AMD GPUs. ROCm Systems Profiler. May 13, 2025 · For application performance optimization strategies for HPC and AI workloads, including inference with vLLM, see AMD Instinct MI300X workload optimization. Mar 8, 2025 · Table of contents. It’s well known that NVIDIA is the clear leader in AI hardware currently. Aug 28, 2024 · ROCm 6. Welcome to the ultimate guide to building your own AI AMD inference server! This repository is packed with everything you need to replicate my success of getting llama. Frameworks such as To learn more about the options for latency and throughput benchmark scripts, see ROCm/vllm. Previously AMD yes！A卡战未来！翻看rocm社区的记录，性能曲线一路彪升。听说亚马逊都和AMD签了云计算的合作协议，我在等着rocm完善的那一天。 缺点： 深度分离卷积的支持一塌糊涂，不知道是rocm还是tensorflow的锅，我准备去提个issue。 Provides direct access to GPU performance counters, kernel execution tracing, and communication profiling. 0 On Ubuntu 18. 20. 04 / 23. ROCm enhances support and access for developers by providing streamlined and improved tools that significantly increase productivity. 3. Therefore, my question is how I can make use of the higher FP64 performance of the Radeon Pro VII for FP64 calculations. Yep, AMD and Nvidia engineers are now in an arm's race to have the best AI performance. 3, dramatically reducing training time and memory overhead—especially in LLM workloads that rely on Note. In addition, this release also includes beta support for the Triton framework enabling more users to develop AI functionality on AMD hardware”, says Erik Hultgren, Software Product Manager at AMD. You can and probably will experience bugs directly related to (pun unintended) DirectML, similar to ZLUDA & forks. com) you can check this on how you might deploy stuff. RBT is designed to capture the performance characteristics of buffer copying and kernel read or write operations. What's the state of AMD and AI? I'm wondering how much of a performance difference there is between AMD and Nvidia gpus, and if ml libraries like pytorch and tensorflow are sufficiently supported on the 7600xt. 76 it/s for 7900xtx on Shark, and 21. ROCm, while newer, is rapidly catching up. cpp with ROCm on AMD APUs with awesome performance. Recent events suggest a growing commitment to ROCm. Comprehensive profiling and tracing of applications running on the CPU or the CPU and GPU The prebuilt Megatron-LM with ROCm training environment allows users to quickly validate system performance, conduct training benchmarks, and achieve superior performance for models like Llama 3. Nov 15, 2020 · We are already working closely with Intel, AMD and Nvidia to improve DirectML's performance and we currently have performance improvements in the pipeline. The ability to tweak and modify the platform at the source level is a significant advantage for companies looking to build custom solutions or Once the benchmark is finished, one can press Ctrl+C in the benchmark shell and should find a markdown table summarizing prefill and decode latency, as well as throughput. The platform also provides features like multi-GPU support, allowing for scaling and parallelization of model training across multiple GPUs to enhance performance. 15. @Daniel451 @EmilPi @qixiang109 Unfortunately, without ROCm support for RDNA*, we can't test ROCm performance yet. Sep 23, 2024 · ROCm 6. 04 or 20. 4 software delivers major performance enhancements within the PyTorch framework, including optimized Flex Attention, TopK, and Scaled Dot-Product Attention (SDPA). 1 and Llama 2. 2 software stack for GPU programming unlocks the massively parallel compute power of these RDNA 3 GPUs for use with various ML frameworks. hatenablog. With rocDecode, you can decode compressed video The pre-built ROCm Megatron-LM environment allows users to quickly validate system performance, conduct training benchmarks, and achieve superior performance for models like Llama 2 and Llama 3. Since the pre-tuned GEMM configuration files (. Pytorch-benchmark doesn't recognize the GPU. ROCm Parallel Primitives. However, Apple’s Metal and AMD’s ROCm offer promising alternatives for specialized and future Mar 28, 2025 · ROCm is an open-source software platform optimized to extract HPC and AI workload performance from AMD Instinct accelerators and AMD Radeon GPUs while maintaining compatibility with industry software frameworks. JS to train models using my GPU all in the browser, but Docker Benchmarks ROCm ONNXRuntime Model Benchmarks# ort-models# Introduction#. Reply reply More replies Top 5% Rank by size May 12, 2025 · As of August 2023, AMD’s ROCm GPU compute software stack is available for Linux or Windows. rocDecode ROCm's newest component, providing high-performance video decode support for AMD GPUs. Below are a few of the key updates for ROCm support since the PyTorch 1. ROCm library tuning involves optimizing the performance of routine computational operations (such as GEMM) provided by ROCm libraries like hipBLASLt, Composable Kernel, MIOpen, and RCCL. Built for inference and training, ROCm delivers leadership performance, empowering developers and organizations to optimize their workloads for efficiency, scalability, and cost-effectiveness. Apr 16, 2024 · The ROCm™ 6. Why It Matters for HPC: Built-in Message Passing Interface (MPI) Integration: Simplifies multi-node scaling, helping reduce complexity for developers and accelerating the enablement of distributed applications. For more use cases and recommendations, see ROCm JAX blog posts. ROCm 6. Aug 17, 2022 · Couldn't get any of those two benchmarks to get running. The benchmarks cover training of LLMs and image classification. torchrun will split the batch size into mini batches that run on each of the nodes. 目前，nvidia的 cuda 和amd的 rocm 是两个最主流的平台。 cuda长期以来一直是行业标准，而rocm则作为开源的替代方案逐渐崭露头角。最近在搞国产适配，没少看rocm和cuda的资料，今天整理了一下相关资料，对其进行了比较深入的对比，方便大家使 Jan 30, 2025 · It is unclear whether this issue is caused by Ollama’s inference engine or a ROCm 6. 1. AITER has already demonstrated its value by substantially accelerating AI workloads and significantly improving efficiency and performance. ROCm 2. That isn't to say that SYCL code is optimised on every platform without tweaking - you do still need to put effort into target specific optimizations to get the best performance, like you would in the CUDA or HIP. 0-0002 and 5. AMD’s ROCm 6. Last I've heard ROCm support is available for AMD cards, but there are inconsistencies, software issues, and 2 - 5x slower speeds. 1 on Radeon Pro, Radeon RX 7900 graphics cards. 0 or newer. --distributed_dataparallel doesn't do that automatically, it run with whatever the user provides May 2, 2025 · Reproduce these results on your system by following the instructions in measuring training performance with ROCm PyTorch Docker on the AMD GPUs user guide. 0+: see the installation instructions. nbmq ent qcr zswohv qicy cvqcsz neqyj bcj gryg fbwwkgy