Whisper Video Transfer and GPU Processing Plan | Generated by AI
Question: I have a video file “meeting_01 2.mp4” and an RTX 4070 GPU machine at 192.168.1.36. What’s the best plan to transfer the video there and run Whisper with GPU acceleration?
Answer:
Plan Overview
Here’s what needs to happen end-to-end:
Step 1 — Locate the video on this machine
Find where meeting_01 2.mp4 lives (likely ~/Downloads/ or similar).
Step 2 — Transfer the video to the remote machine
Use scp (or rsync) to copy it over your LAN:
scp "~/Downloads/meeting_01 2.mp4" lzw@192.168.1.36:~/projects/whisper-test/
Note: The space in the filename needs quoting.
Step 3 — SSH into the remote machine and set up the project
ssh lzw@192.168.1.36
mkdir -p ~/projects/whisper-test
cd ~/projects/whisper-test
pip install openai-whisper
Step 4 — Run Whisper with CUDA (RTX 4070)
whisper "meeting_01 2.mp4" --model large --device cuda --output_dir ~/projects/whisper-test/
Expected time: ~2–3 minutes for a 2-hour video on RTX 4070.
What I Can and Cannot Do Here
| Task | Feasible? | Why |
|---|---|---|
| Find the file on this machine | ✅ | Can search local filesystem |
Run scp / ssh to remote |
❌ | No network access to 192.168.1.36 (private LAN) from this sandbox |
| Create project folder remotely | ❌ | Same reason — private LAN not reachable |
| Generate a ready-to-run shell script | ✅ | Can write it for you to execute yourself |
Recommended: I Generate a Shell Script You Run Locally
I can produce a single setup_whisper.sh script that does all steps automatically when you run it on your local machine:
- Finds the video file
- Creates the remote project directory via SSH
- Transfers the file via
scp - Installs Whisper remotely
- Runs Whisper with
--device cuda
Just say “yes, generate the script” and I’ll produce it ready to go.
Note: You’ll need SSH key auth or be ready to type the password a couple of times.