Can i run tensorflow on amd gpu Feb 10, 2024 · Tests GPU Setup Test You can run this one-liner from the command-line to see if your TensorFlow has GPU set up or not: python3 -c ‘import tensorflow as tf; print(tf. Aug 23, 2021 · Install Tensorflow Metal on Intel Macbook Pro with AMD GPU Use Tensorflow with GPUs on Mac with the official Apple plugins. 1 and CUDA 11) I have attempted to do this by installing TensorFlow Nov 10, 2023 · My laptop lenovo has AMD Radeon (TM) graphics and I am trying to install tensorflow but I always get an error when I code this: Jun 9, 2023 · I’d been using TensorFlow. Dec 27, 2022 · I was trying to set up GPU to be compatible with Tensorflow on Windows 11 but was encountering a problem when attempting to verify that it had been setup correctly. Unlock Local AI Development on Your AMD Hardware Transform your AMD-powered system into a powerful and private machine learning workstation. Sep 9, 2025 · Today I neither use AMD nor Tensorflow. Learn how to use the intuitive APIs through interactive code samples. We provide steps, based on our experience, that can help you get a code environment working for your experiments and to manage working with CUDA-based code repositories on AMD GPUs. 04 using the second answer here with ubuntu's builtin apt cuda installation. 6, cuda 10. The simplest way to run on multiple GPUs, on one or many machines, is using Distribution Strategies. I have a GPU driver installed an We would like to show you a description here but the site won’t allow us. I can’t recall what the speedup was with the tensorflow mnist example, but it was material. But if you don't use deep learning, you don't really need a good graphics card. Most Macs of recent vintage benefit from acceleration with no additional configuration needed GPU Profiler: To track the performance of TensorFlow models running on the Intel GPU. 10 is the last release supporting GPU on Windows native. Oct 12, 2023 · From Building PC to Running ML on GPU with Sklearn, PyTorch and Tensorflow: a working tutorial with same solution working on various setups (Late 2023) Nov 19, 2024 · Learn how to setup the Windows Subsystem for Linux with NVIDIA CUDA, TensorFlow-DirectML, and PyTorch-DirectML. GPU acceleration for AI-powered tools MacOS On MacOS, use of a GPU to accelerate neural network computations is automatic and handled by the “CoreML” library provided by Apple. TensorFlow can only leverage the CPU on Macs, as GPU-accelerated training requires an Nvidia chipset (there is a fork of TensorFlow that can use GPUs on macOS, but it’s still in alpha). TensorFlow can be used inside Python and has the capability of using either a CPU or a GPU depending on how it is setup and configured. This means that you can get even more speedup by enabling GPU support in PyTorch and TensorFlow. device)’ Dec 8, 2024 · Learn how to configure and run your TensorFlow models on CPU for development, debugging, or resource-constrained environments. See a tutorial and performance testing for optimal results. If you know what you want to do maybe I can help further. If you run performance-critical applications and your system has an NVIDIA® GPU that meets the prerequisites, you should install this version. Models trained with CTranslate2 are converted into a special “CTranslate2 format”, which makes them optimized for efficient inference. The profiler is enabled by three environment variables - export ZE_ENABLE_TRACING_LAYER=1, export UseCyclesPerSecondTimer=1 and export ENABLE_TF_PROFILER=1. We like playing with powerful computing and analysis tools– see for example my post on R. Learn when GPUs help, install Keras, TensorFlow, PyTorch, and explore CUDA programming with Numba for 10x speedups Jul 27, 2021 · I'm new to TensorFlow, trying to install TensorFlow on my Windows laptop and configure the built-in AMD Radeon R5 M330, any guide/steps would be really helpful. list_local_devices() which will list the available devices. However, there are ways to run TensorFlow on an AMD GPU in a MacBook Pro. AMD supports RDNA™ 3 architecture-based GPUs for desktop-based AI workflows using AMD ROCm™ software on Linux and WSL 2 (Windows® Subsystem for Linux) systems. I mean, who doesn’t love spending hours installing drivers, configuring environments, and troubleshooting errors? And don’t even get me started on the joys of trying to set up TensorFlow-GPU with an AMD GPU. Will I be able to run either Theano or Tensorflow on this GPU? If not, what about another framework? It's much much much easier just to use conda Install conda conda install tensorflow-gpu Conda installs all necessary cuda files and the like Overview Ryzen™ AI software enables developers to efficiently port their pre-trained PyTorch or TensorFlow models to run on the integrated GPU (iGPU) or Neural Processing Unit (NPU) available in select Ryzen AI-powered laptops. Now my question is how can I test if tensorflow is really using gpu? I have Introduction: If you have an AMD graphics card and want to use machine learning libraries like PyTorch or TensorFlow, you may have noticed that the process isn’t as simple as running a quick pip install like it is with NVIDIA GPUs. 3. Without a desktop with pricy GPU or an external GPU, we can still leverage the GPU from Macbook to Feb 3, 2025 · If you’re training or heavily fine-tuning models, TensorFlow’s GPU support can significantly boost performance and cut training time. This code can run natively on AMD as well as Nvidia GPU. Nov 20, 2017 · I am working on my master's project which uses keras and tensorflow backend . How to Use Intel and AMD GPUs to run LLMs on Your PC Feed Your OWN Documents to a Local Large Language Model! I switched from Nvidia to AMD's RX 9070 XT - What's it been like (3 months later)? Sep 26, 2025 · TensorFlow compatibilitySupported and unsupported features # The following section maps supported data types and GPU-accelerated TensorFlow features to their minimum supported ROCm and TensorFlow versions. First of compatibility of these frameworks with NVIDIA is much better than others so you could have less problem if the GPU is an NVIDIA and should be in this list. 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. I installed compatible versions of cuda, tensorflow_gpu, and cudnn but I can't get it to use my GPU . I already tried some things like Intel plaidML and other third-party software but nothing worked. This leads me to the only possible conclusion. I've installed Ubuntu 22. Nov 7, 2025 · TensorFlow compatibilityUse cases and recommendations # The Training a Neural Collaborative Filtering (NCF) Recommender on an AMD GPU blog post discusses training an NCF recommender system using TensorFlow. AMD provides a pre-built whl package, allowing a simple install akin to the installation of generic TensorFlow for Linux. By installing the necessary dependencies and configuring your environment correctly, you can take advantage of the computational power offered by AMD GPUs. Mar 26, 2024 · Now you can visit vosen/ZLUDA: CUDA on AMD GPUs and AMD ROCm™ documentation to learn how to use ZLUDA to run some CUDA applications on AMD GPUs. If you want to know whether TensorFlow is using the GPU acceleration or not we can simply use the following command to check. Jun 14, 2025 · Docker uses containers to create virtual environments that isolate a TensorFlow installation from the rest of the system. Are there significant limitations or performance issues when running CUDA-optimized projects, like text-to-image models (e. Is there any way to use tensorflow-gpu with the intel (r) hd graphics 520? how to run keras and tensorflow on gpu on windows, step by step Johnny The Data Scientist 229 subscribers Subscribe Dec 13, 2022 · Good day, I am running Tensorflow code through WSL (Ubuntu). Jan 26, 2021 · Simple question: Can I run a dual GPU setup (as shown below) together in TensorFlow? 1 AMD RX 480 and 1 NVIDIA 3070 (ROCm 3. No worries, this guide will get you up and running in no time! Sadly only NVIDIA GPUs are supported by Tensorflow and PyTorch because of CUDA, the "programming language" for NVIDIA GPUs. Jun 24, 2016 · I have installed tensorflow in my ubuntu 16. Mar 14, 2024 · However, as AMD gained traction in the GPU space, the TensorFlow community recognized the need for broader hardware compatibility. constant([]). AMD’s provided method for doing this is called ROCm. org One can use AMD GPU via the PlaidML Keras backend. Download a pip package, run in a Docker container, or build from source. After researching this topic for a few months, I can see 3. Jun 14, 2020 · If you've been working with Tensorflow for some time now and extensively use GPUs/TPUs to speed up your compute intensive tasks, you already know that Nvidia GPUs are your only option to get the job done in a cost effective manner. For additional information, check GPU Profiler. 11 onwards, the only way to get GPU support on Windows is to use WSL2. Easily create a consistent development environment and seamlessly manage your project files. May 14, 2021 · I have installed tensorflow-macos and while training this is my CPU usage and GPU usage . I have an AMD Radeon card, and wish to utilise Tensorflow DirectML to train a model using the GPU. Part 1: Checking GPU card Aug 27, 2018 · ROCm, the Radeon Open Ecosystem, is our open-source software foundation for GPU computing on Linux. 0 with GPU support on WSL (Windows Subsystem for Linux) using Ubuntu 24. Generally, it’s designed to take advantage of the computational power offered by GPUs, which can significantly speed up training times for large models. Any thoughts on just getting PI up and running before I move forward with the GPU? Oct 24, 2024 · Being framework agnostic, it can handle models exported from frameworks like PyTorch or TensorFlow while maintaining lightweight execution. Aug 23, 2024 · Installing TensorFlow GPU setup can be a complex process, but by following the steps below, you can get up and running with TensorFlow GPU in no time. This guide is for users who have tried these approaches and found that they need fine-grained Sep 11, 2023 · In conclusion, this article introduces key steps on how to create PyTorch/TensorFlow code environment on AMD GPUs. 9 or later Jan 29, 2024 · These chips have built-in GPUs that are specifically designed for machine learning. Aug 7, 2023 · First post here. Over at Codeplay, Lukasz Iwanski just posted a comprehensive answer on how to get tensorflow to run with opencl here (I will only provide a link as stated above because the information might change Can I use TensorFlow with AMD GPU? AMD has released ROCm, a Deep Learning driver to run Tensorflow-written scripts on AMD GPUs. If your GPU is present in the list, TensorFlow is set up correctly to use it. For my work, it would be ideal if I can run GPU-accelerated neural network frameworks on it, particularly Theano or Tensorflow. However, sometimes TensorFlow may not recognize the GPU, which is a common issue faced by developers. Applications are deployed using ONNX Runtime, giving the user easy inferencing across the different hardware. Anyone who has tried to train a neural network with TensorFlow on macOS knows that the process kind of sucks. Dec 2, 2021 · Install Tensorflow-gpu using conda with these steps conda create -n tf_gpu python=3. So how can I run Tensorflow-gpu version in my laptop? Apr 3, 2025 · GPU's have more cores than CPU and hence when it comes to parallel computing of data, GPUs perform exceptionally better than CPUs even though GPUs has lower clock speed and it lacks several core management features as compared to the CPU. If not, please let me know which framework, if any, (Keras, Theano, etc) can I use for my Intel Corporation Xeon E3-1200 v3/4th Gen Core Processor Integrated Graphics Controller. We would like to show you a description here but the site won’t allow us. Oct 30, 2017 · Start GPU computing with Anaconda. Jul 12, 2018 · How do I use TensorFlow GPU version instead of CPU version in Python 3. But simply installing tensorflow and having it run on your AMD GPU, is not what a quick Google search suggests is possible today. It would allow you to prototype and test your model as well as run your training much Feb 1, 2025 · By leveraging alternatives such as CPU-based inference, AMD’s ROCm, Intel’s oneAPI, Apple’s Metal, or TensorFlow-DirectML on Windows, you can tailor your AI deployment to fit various May 13, 2023 · In this video I'm showing off DirectML, a tool made by Microsoft that let's you use almost any GPU for machine learning acceleration. While it is optimized for GPU usage, running TensorFlow on a CPU is also a viable option, especially for smaller models or when a GPU is not available. May 6, 2024 · Be informed: The last version of TensorFlow that supports GPU on Windows is TF-2. ). This article walks you through methods While the upfront price/perf of the AMD solution is far better the cost in time to get something like tensorflow running proper will far exceed savings. With the latest ROCm™ software stack, you can now harness the full potential of high-end AMD Radeon™ GPUs and Ryzen™ APUs for your AI workflows on both Linux® and Windows®. 6 days ago · Access ROCm software platforms, tutorials, blogs, open source projects, and other resources for AI development on AMD GPUs Feb 9, 2021 · 41 Is there any way now to use TensorFlow with Intel GPUs? If yes, please point me in the right direction. This article walks you through methods Dec 27, 2023 · Learn how to leverage AMD GPUs for TensorFlow and DirectML. So I highly doubt you’ll be able to get an AMD GPU working on windows. I tried to keep the post as simple as possible to avoid conflict. Discover step-by-step instructions and best practices for utilizing GPU resources efficiently. As tensorflow uses CUDA which is proprietary it can’t run on AMD GPU’s so you need to use OPENCL for that and tensorflow isn’t written in that. Jul 3, 2024 · After hours of troubleshooting I get it working but haven't had success with the AMD drivers with my 7900XTX. The basic, single data Oct 20, 2023 · Therefore, because the GPU is not made by NVIDIA the usual drivers and libraries that Tensorflow would use to recognize the GPU (CUDA, cuDNN) are irrelevant. Tensorflow stopped support for Nvidia GPU’s on Windows. gpu, tensorflow, Nvidia GeForce GTX 1650 with Max-Q, cuDNN 7. Dec 6, 2020 · AMD has released ROCm, a Deep Learning driver to run Tensorflow and PyTorch on AMD GPUs. You can use AMD GPUs, but honestly, unless AMD starts actually giving a shit about ML, it's always going to be a tedious experience (Can't even run ROCm in WSL ffs). Dec 10, 2023 · For using TensorFlow GPU on Windows, you will need to build/install TensorFlow in WSL2 or use tensorflow-cpu with TensorFlow-DirectML-Plugin So current versions of TF can't even be built on Windows natively. JS to train models using my GPU all in the browser, but that approach is limited compared to what’s possible when running it natively. Our TensorFlow implementation leverages MIOpen, a library of highly optimized GPU routines for deep learning. A GPU-accelerated project will call out to NVIDIA-specific libraries for standard algorithms or use the NVIDIA GPU compiler to compile custom GPU code. Else I would have marked your answer, but I have no way of verifying. Jul 23, 2025 · TensorFlow can run on both CPU and GPU, but for many beginners or those without access to high-end hardware, a CPU setup is sufficient for smaller models or for learning purposes. I show how to get it running, using an AMD GPU as the example. Aug 15, 2022 · TensorFlow is an open source platform for machine learning. TensorFlow directml is also a joke, it can't even run the example code provided properly (have seiours gpu memory leakage crashing training), while I can run the same code on Nvidia card no problem. Feb 10, 2024 · Learn how to set up and run TensorFlow with GPU acceleration on Windows using Docker and WSL (Windows Subsystem for Linux). Learn about TensorFlow PluggableDevices Requirements Mac computers with Apple silicon or AMD GPUs macOS 12. 17. Most large models take orders of magnitude more time Nov 19, 2023 · Setting up your AMD GPU for Tensorflow in Ubuntu (Updated for 20. Data types # The data type of a tensor is specified using the dtype attribute or argument, and TensorFlow supports a wide range of data types for different use cases. Aug 15, 2024 · TensorFlow code, and tf. Enable the GPU on supported cards. 11, you will need to install TensorFlow in WSL2, or install tensorflow-cpu and, optionally, try the TensorFlow-DirectML-Plugin From TensorFlow 2. For using TensorFlow with a GPU, refer to the TensorFlow documentation, specifically the section on device placement. I have 4 GB AMD Radeon graphics card. Starting with TensorFlow 2. Over at Codeplay, Lukasz Iwanski just posted a comprehensive answer on how to get tensorflow to run with opencl here (I will only provide a link as stated above because the information might change My question is about the feasibility and efficiency of using an AMD GPU, such as the Radeon 7900 XT, for deep learning and AI projects. 04) Check Device & Latest Update Gungle Follow May 22, 2019 · My questions are: Can we run our simple Python code on my AMD supported laptop? Can we run the same app on our GPU system? We read that we need to adjust the code for GPU computation but we do not know how to do that. Dec 14, 2020 · MacBook Pro with AMD eGPU. Jul 23, 2025 · This will guide you through the steps required to set up TensorFlow with GPU support, enabling you to leverage the immense computational capabilities offered by modern GPU architectures. I have intel (r) hd graphics 520 ,So I am not able to use tensorflow-gpu. Since TensorFlow is the framework I’m most familiar with, it’s what I wanted to focus on getting working first. 5 possible paths forward: 1. Yes. device() to control which device to run on. So Tensorflow can see the GPU from the same environment as I am running inside Pycharm (tf). Sep 11, 2023 · If you have AMD GPUs and follow their instructions on running the code, it often does not work. To make it work, you’ll need a software stack called ROCm. Jun 11, 2024 · Hence it is necessary to check whether Tensorflow is running the GPU it has been provided. It offers a wide range of features and is widely used in the machine learning community. GPU compatibility GPU acceleration requires the author of a project such as TensorFlow to implement GPU-specific code paths for algorithms that can be executed on the GPU. 5. 1, windows 10, tensorflow 2. keras models will transparently run on a single GPU with no code changes required. Hence, I provided the installation instructions of Tensorflow and PyTorch for AMD GPUs below. /configure to enable ROCm and have CPU optimization with - march = native flag. But I know very little about windows or getting an AMD GPU to work. Read about using GPU acceleration with WSL to support machine learning training scenarios. Last I've heard ROCm support is available for AMD cards, but there are inconsistencies, software issues, and 2 - 5x slower speeds. , Stable Diffusion), on AMD hardware? Jan 15, 2021 · Step-By-Step guide to Setup GPU with TensorFlow on windows laptop. 10 (it supports most of the functionalities but it’s good to use the latest and stable versions). The post outlines the implementation using Dec 24, 2024 · As reported in the TensorFlow documentation, TensorFlow 2. ) Tensorflow + OpenCl as mentioned in the comments above: There seems to be some movement going on this field. TensorFlow programs are run within this virtual environment that can share resources with its host machine (access directories, use the GPU, connect to the Internet, etc. Oct 11, 2018 · I'm using Anaconda in Windows 10 and I cannot install the current version of tensorflow-gpu. It has a wide range of applications, from powering Google’s search engine and Street View to running image recognition on Facebook. 6 x64? import tensorflow as tf Python is using my CPU for calculations. However, there may be instances when you want to run TensorFlow on a CPU. There is some ubiquity and ease in just using CUDA/nvidia GPU. I have used Nvidia / CUDA, on pure Ub Mar 6, 2021 · To tensorflow work on GPU, there are a few steps to be done and they are rather difficult. /r/AMD is community run and does not represent AMD in any capacity unless specified. It's a gtx 1080. Image by author. ROCm is a maturing ecosystem and more GitHub codes will eventually contain ROCm/HIPified ports. This library makes the decision whether or not a particular hardware configuration is useable for acceleration. Get started with TensorFlow TensorFlow makes it easy to create ML models that can run in any environment. list_physical_devices('GPU') to confirm that TensorFlow is using the GPU. Learn how to set up TensorFlow with GPU support on macOS, optimizing machine learning tasks using Apple's hardware capabilities. Jun 26, 2021 · Machine Learning with AMD GPUs You want to run PyTorch or TensorFlow on your PC, but you have an AMD GPU. Like Stable Diffusion. Thus, running a python script on a GPU can prove to be comparatively faster than on a CPU, however, it must be noted that for processing a data set with a Jul 23, 2025 · TensorFlow, an open-source machine learning framework developed by Google, is widely used for training and deploying machine learning models. Note: Use tf. AMD GPUs work out of the box with PyTorch and Tensorflow (under Linux, preferably) and can offer good value. May 12, 2018 · I have been working more with deep learning and decided that it was time to begin configuring TensorFlow to run on the GPU. Dec 17, 2024 · Step-by-Step Guide To run TensorFlow or Keras on an AMD GPU, you need to use ROCm, AMD's open-source software platform for GPU computing. August 23, 2021 Nov 22, 2024 · Can AMD Beat NVIDIA in AI? While NVIDIA GPUs are still the go-to solution for most AI and machine learning tasks, AMD GPUs are closing the gap. If I google, there are a lot discussions and sources but I just couldn't figure out what's the best way to do this at the moment. The nice thing is that the same TensorFlow Jan 18, 2017 · I want to use TensorFlow on Windows (Win 10) with a AMD GPU. Step 1: Install the Latest NVIDIA Driver for Your GPU Jul 12, 2025 · Learn how to install TensorFlow on your system. It’s like a puzzle, except the reward for solving it is the ability to train your models Oct 18, 2018 · Running Tensorflow on AMD GPU October 18, 2018 Are you interested in Deep Learning but own an AMD GPU? Well good news for you, because Vertex AI has released an amazing tool called PlaidML, which allows to run deep learning frameworks on many different platforms including AMD GPUs. Jul 1, 2023 · I found a Reddit post by cherryteastain that uses TensorFlow to run a few different ML benchmarks on a 6900XT card. You should know that it's really, really difficult. Torch for rocm just worked for me after some dnf/yum commands though In this video, I'll show you the simplest and fastest way to install TensorFlow 2. Get started with tensorflow-metal Accelerate the training of machine learning models with TensorFlow right on your Mac. As with any other device (see TensorFlow Guide: Use a GPU), you can use tf. 10 was the last TensorFlow release that supported GPU on native-Windows. Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. PS: I can add more information if you need. You won't need to go through the Feb 10, 2025 · To use TensorFlow with a framework that works across the breadth of DirectX 12 capable GPUs, we recommend setting up the TensorFlow with DirectML package. 04 LTS straight from the Microsoft Store and installed my own registered copy. But Tensorflow can’t see the GPU when I run a script from within the environment. It defaults to CPU even though I have correctly installed the GPU drivers and AMD ROCm libraries where supported. Mar 10, 2022 · Luckily, Apple recently has released Tensorflow Metal to enable AMD GPU for Tensorflow. Apparently Radeon cards work with Tensorflow and PyTorch. See full list on tensorflow. TensorFlow DirectML (Windows): Microsoft's DirectML allows TensorFlow to run on AMD, Intel, and even some NVIDIA GPUs via DirectX 12, bypassing CUDA. Install base TensorFlow and the tensorflow-metal PluggableDevice to accelerate training with Metal on Mac GPUs. For training, we used a validation split of the wikiText-103-raw-v1 data set, but this can be easily replaced with a train split by downloading the preprocessed and tokenized train file hosted in our repository on Hugging Face Hub. Don't know if there is a similar amd library now Introduction: If you have an AMD graphics card and want to use machine learning libraries like PyTorch or TensorFlow, you may have noticed that the process isn’t as simple as running a quick pip install like it is with NVIDIA GPUs. This article provides a comprehensive guide on how to run TensorFlow on a CPU, covering installation I run a 3900X cpu and with stable diffusion on cpu it takes around 2 to 3 minutes to generate single image whereas using “cuda” in pytorch (pytorch uses cuda interface even though it is rocm) it takes 10-20 seconds. Pycharm community does not support GPU for Tensorflow, in order for me to purchase the Prof version? We would like to show you a description here but the site won’t allow us. Future posts to AMD lab notes will discuss the specifics of porting from CUDA to HIP, as well guides to running popular community models from HuggingFace. Despite its popularity, TensorFlow does not officially support running on AMD GPUs. I’m looking to buy a new laptop and I’ve found one that has an AMD Radeon graphics card. TensorFlow is now installed and ready to use. So I could be wrong. Overview Developers, researchers, and software engineers working with advanced AI models can leverage select AMD Radeon™ GPUs to build a local, private, and cost-effective solution for AI development. Oct 9, 2020 · Following the guide on the ROCm tensorflow-upstream, with a slight modification on running . Aug 13, 2017 · 173 I'm running a Keras model, with a submission deadline of 36 hours, if I train my model on the cpu it will take approx 50 hours, is there a way to run Keras on gpu? I'm using Tensorflow backend and running it on my Jupyter notebook, without anaconda installed. Feb 25, 2023 · Generally CUDA is proprietary and only available for Nvidia hardware. Yes it is possible to run tensorflow on AMD GPU’s but it would be one heck of a problem. Jan 11, 2023 · Caution: TensorFlow 2. The cpu version is working fine . I hate that nvidia has such a stranglehold, but they didn't get there by sitting on their hands. Dec 6, 2024 · A: You can check if TensorFlow is utilizing the GPU by inspecting the output of device_lib. Dec 20, 2024 · Working with TensorFlow on GPUs can significantly boost the performance of deep learning models. Apple is offering a Macbook Pro with a "Radeon Pro 450" or a "Radeon Pro 460" option for the graphics card. Feb 22, 2023 · I'm unable to use my AMD GPU for work with data in Python code and using TensorFlow and Keras in Windows 11 Pro. 9 and conda activate tf_gpu and conda install cudatoolkit==11. Sep 14, 2024 · TensorFlow does not detect or utilize my AMD GPU for training models on Windows. Aug 7, 2018 · TensorFlow programs usually run much faster on a GPU instead of a CPU. For running the TensorFlow 2 with DirectML backend using the TensorFlow-DirectML-Plugin, the device string is 'GPU', and will automatically override any other devices. Fastest: PlaidML is often 10x faster (or more) than popular platforms (like TensorFlow CPU) because it supports all GPUs, independent of make and model. Are there additional packages/libraries needed to use Tensorflow with an AMD GPU? It seems odd that Microsoft would offer VMs with GPUs that do not have the necessary software to be utilized. This means that if you have a computer with an AMD graphics Unlock Local AI Development on Your AMD Hardware Transform your AMD-powered system into a powerful and private machine learning workstation. AMD’s ROCm platform, along with increasing support for TensorFlow and PyTorch, has made AMD GPUs more competitive in AI workloads. You won't need to go through the Haven't heard about CPUs, but I think an AMD GPU can be an issue since CUDA is made by Nvidia and is the ideal backend for tensorflow and pytorch. By running my model training using my GPU, I have found that it speeds up the model training by at least 20x. To leverage GPUs while working on a Windows machine, newer TensorFlow releases must be installed in the Windows Subsystem for Linux (WSL). config. I’d like to have GPU support with Tensorflow, so I’d like to ask if there is support for AMD Radeon cards, as I can’t find a lot of information online. One of the cases they benchmarked is training a very simple multi-layer neural network using random data. CPU-Only Mode: Both TensorFlow and PyTorch can run purely on CPU, though performance will be significantly slower than GPU acceleration. 0 or later (Get the latest beta) Python 3. Mar 13, 2024 · Utilizing Keras and Tensorflow with an AMD GPU in Python 3 can significantly accelerate the training and inference of deep learning models. All you need to have is a GeForce GPU and you can get started crunching numbers in no time. This guide walks you through setting up a GPU-accelerated environment and implementing models that take full advantage of it. Test CUDA performance on AMD GPUs One-Click Install Download and Install AMD ROCm for Windows with ZLUDA Support Package Jan 26, 2024 · We trained our model using the Hugging Face Trainer with a PyTorch backend using an AMD GPU. g. It explains how NCF improves traditional collaborative filtering methods by leveraging neural networks to model non-linear user-item interactions. 04. Oct 7, 2023 · How To Use Tensorflow With GPU On Ubuntu Linux (2025) 07 October 2023 / Machine Learning, Linux, Tensorflow In this guide, we'll go through a step-by-step guide on how to use Tensorflow with GPU. Nov 10, 2023 · My laptop lenovo has AMD Radeon (TM) graphics and I am trying to install tensorflow but I always get an error when I code this: Jun 9, 2023 · I’d been using TensorFlow. 2 and pip install tensorflow. Can I make Tensorflow run on GPU anyway?. One can find a great overview of compatibility between programming models and GPU vendors in the gpu-lang-compat repository: SYCLomatic translates CUDA code to SYCL code, allowing it to run on Intel GPUs; also, Intel's DPC++ Compatibility Tool can transform CUDA to SYCL For context, DPC++ (Data Parallel C++) is Intel's own Aug 1, 2023 · Learn how to leverage the power of your GPU to accelerate the training process and optimize performance with Tensorflow. Jan 27, 2025 · How To Force TensorFlow To Use CPU TensorFlow is one of the leading frameworks for machine learning and deep learning. But what about AMD GPUs? Apr 9, 2023 · Ah, setting up TensorFlow with GPUs, what a lovely pastime fo