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audio model · whisper · Windows

Can I run Whisper large-v3 on Nvidia GeForce RTX 4070 (12GB)?

Compatibility verdict memory check
Yes, it runs fast on this GPU

Yes. Whisper large-v3 runs on Nvidia GeForce RTX 4070 (12GB) at int8 (~2.5 GB of ~11 GB usable).

Needs ~2.5 GB Device usable ~11 GB

Runs at int8 using ~2.5 GB of ~11 GB usable.

Peak memory
~2.5 GB
Usable on device
~11 GB
Device memory
12 GB
Quant
int8
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How to run it

Use whisper.cpp or faster-whisper at int8. It is light enough to run on CPU; a GPU just makes it faster.

Model whisper
Type
Speech to text
Parameters
1.55B
Peak memory
~2.5 GB at int8
License
MIT
Full Whisper large-v3 requirements →
Device Windows
Memory
12 GB vram
Usable for weights
~11 GB
Power draw
~200 W
Best runtime
Ollama (CUDA) / vLLM (Linux)
Best models for Nvidia GeForce RTX 4070 (12GB) →

You could also run

Run Whisper large-v3 on other hardware

Nvidia GeForce RTX 2060 (6GB)Apple M1 (8GB)8GB RAM Laptop (CPU/iGPU only)iPhone 15 ProiPhone 16iPhone 16 Pro

FAQ

Can Nvidia GeForce RTX 4070 (12GB) run Whisper large-v3?

Yes. Whisper large-v3 runs on Nvidia GeForce RTX 4070 (12GB) at int8 (~2.5 GB of ~11 GB usable).

How much memory does Whisper large-v3 need?

Nvidia GeForce RTX 4070 (12GB) has room to spare. At int8 the realistic peak is ~2.5 GB of memory.

What do I use to run Whisper large-v3 locally?

Whisper large-v3 runs in whisper.cpp or faster-whisper (among others). It runs on CPU, so no GPU is required.

Sources

VRAM figures are sourced peak-usage anchors at the noted quant; catalog updated 2026-10-05. See methodology.