Gpu Tflop Finder

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.

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.

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.

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

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.