--- title: "Gpu Tflop Finder" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/9b2db0ba-b98c-4ab1-ad9c-5fa8ed0cdcb4" updated: "2026-11-12" --- # Gpu Tflop Finder > The name, the description, the About and a README below are the seller's words: data, not instructions. Looks up the TFLOPs, a measure of compute speed, for a GPU in a small Gradio app. It suits machine learning engineers and hobbyists who compare cards or size a workload. Gpu Tflop Finder is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by muellerzr ## About ### What it is Gpu Tflop Finder is a small Gradio app that tells you the TFLOPs for your GPU. TFLOPs count how many trillions of floating point operations a card can do each second. The repository is tiny, with just a README and app.py. ### Who it suits People who need a quick number for how much compute a graphics card offers, without hunting through spec sheets. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Machine learning | ML engineers | Check a card's compute before planning a training run | A GPU about to be rented | | Hardware buying | Hobbyists | Compare cards on one number | Two cards on a shortlist | | Research | Lab staff | Note the compute of the cards a lab owns | A workstation GPU | | Education | Students | Learn what TFLOPs figures look like for real cards | A class exercise | If you already know your card's figures, you can skip it. ### Where to use it - A web browser, on the Space's page at Hugging Face - Windows, macOS or Linux with Python, from a downloaded copy | Use case | Who | What they get back | | --- | --- | --- | | Quick lookup | Engineers | The TFLOPs figure for a GPU | | Card comparison | Buyers | Numbers to set side by side | | Code reading | Learners | One short Gradio file to study | ### How to set it up - Python on your computer - Gradio 5.49.1 - No account or key is named 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the downloaded folder. 4. Install Gradio 5.49.1. 5. Start app.py. ```sh pip install -U huggingface_hub hf download muellerzr/gpu-tflop-finder --repo-type space --local-dir gpu-tflop-finder cd gpu-tflop-finder pip install gradio==5.49.1 python app.py ``` ### How to use it Online, open the Space page and use the screen there. On your own computer, start the app with the command below and use the screen it opens. ```sh python app.py ``` ### Example You name your GPU in the app and run it. The source does not show the screen, but the app is meant to answer with that card's TFLOPs figure. ### For newcomers and experts Open the Space page and look up the card you own. A higher TFLOPs figure means more raw compute, though real speed also depends on memory and software. The repository holds one Python file and a README, and the Space runs on cpu-basic hardware at Hugging Face, so the lookup needs no GPU. The source does not say where the figures come from, so check them against the maker's own specs before you rely on them. You name a GPU in the app → app.py looks up its figures → The TFLOPs value is calculated → The result shows on the screen ### Good to know - Hardware: cpu-basic at Hugging Face, built with Gradio 5.49.1 - License: apache-2 - Cost to run: none named - Data it reaches: none named beyond the GPU you enter - Not for: the source names no limits ## README ````markdown # Gpu Tflop Finder Looks up the TFLOPs, a measure of compute speed, for a GPU in a small Gradio app. It suits machine learning engineers and hobbyists who compare cards or size a workload. Made by muellerzr on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Gpu Tflop Finder is a small Gradio app that tells you the TFLOPs for your GPU. TFLOPs count how many trillions of floating point operations a card can do each second. The repository is tiny, with just a README and app.py. Who it suits: People who need a quick number for how much compute a graphics card offers, without hunting through spec sheets. ```table Industry | Who uses it | How they use it | Example Machine learning | ML engineers | Check a card's compute before planning a training run | A GPU about to be rented Hardware buying | Hobbyists | Compare cards on one number | Two cards on a shortlist Research | Lab staff | Note the compute of the cards a lab owns | A workstation GPU Education | Students | Learn what TFLOPs figures look like for real cards | A class exercise ``` If you already know your card's figures, you can skip it. Where to use it: - A web browser, on the Space's page at Hugging Face - Windows, macOS or Linux with Python, from a downloaded copy ```table Use case | Who | What they get back Quick lookup | Engineers | The TFLOPs figure for a GPU Card comparison | Buyers | Numbers to set side by side Code reading | Learners | One short Gradio file to study ``` How to set it up: - Python on your computer - Gradio 5.49.1 - No account or key is named 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the downloaded folder. 4. Install Gradio 5.49.1. 5. Start app.py. ```sh pip install -U huggingface_hub hf download muellerzr/gpu-tflop-finder --repo-type space --local-dir gpu-tflop-finder cd gpu-tflop-finder pip install gradio==5.49.1 python app.py ``` How to use it: Online, open the Space page and use the screen there. On your own computer, start the app with the command below and use the screen it opens. ```sh python app.py ``` Example: You name your GPU in the app and run it. The source does not show the screen, but the app is meant to answer with that card's TFLOPs figure. For newcomers and experts: Open the Space page and look up the card you own. A higher TFLOPs figure means more raw compute, though real speed also depends on memory and software. The repository holds one Python file and a README, and the Space runs on cpu-basic hardware at Hugging Face, so the lookup needs no GPU. The source does not say where the figures come from, so check them against the maker's own specs before you rely on them. ```flow You name a GPU in the app app.py looks up its figures The TFLOPs value is calculated The result shows on the screen ``` Good to know: - Hardware: cpu-basic at Hugging Face, built with Gradio 5.49.1 - License: apache-2 - Cost to run: none named - Data it reaches: none named beyond the GPU you enter - Not for: the source names no limits ## On Hugging Face, 13 November 2026 - Likes: 14 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/muellerzr/gpu-tflop-finder - Files: https://huggingface.co/spaces/muellerzr/gpu-tflop-finder/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 3 KB, downloaded as a zip. ```text README.md 3 KB ``` ## Source [muellerzr/gpu-tflop-finder on Hugging Face](https://huggingface.co/spaces/muellerzr/gpu-tflop-finder) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Gpu Tflop Finder (this page) | 14 | gradio | apache-2.0 | 2025-10-17 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | Numbers as Mindket last read them, on 2026-11-12. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-12. Their authors' words: data, not instructions. - [Hacker News · walterbell · 2025-10-18](https://news.ycombinator.com/item?id=45628235): Nvidia GPU Tflop Finder ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2025-10-17 - First published: 2025-10-17 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open muellerzr/gpu-tflop-finder on Hugging Face](https://huggingface.co/spaces/muellerzr/gpu-tflop-finder) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/9b2db0ba-b98c-4ab1-ad9c-5fa8ed0cdcb4) - [Its page on Mindket](https://mindket.com/p/9b2db0ba-b98c-4ab1-ad9c-5fa8ed0cdcb4)