OpenAIWhisper Large V3 on NVIDIA GeForce RTX 4070 Ti 12GB
Yes — RTX 4070 Ti 12GB runs Whisper Large V3 excellently at FP16. 12 GB VRAM with plenty of headroom.
Model Size
1.55B
Device VRAM
12 GB
Bandwidth
504 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for Whisper Large V3 on NVIDIA GeForce RTX 4070 Ti 12GB at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | – | – | ✓ Yes | Excellent | estimated |
Notes
FP16
Full FP16 quality. Real-time transcription with headroom.
About Whisper Large V3
Whisper Large V3 (1.55B) is a transcription model. OpenAI's best open speech-to-text model. Supports 99 languages. Near-human accuracy for English. Low VRAM requirements; runs on any GPU. Useful for builders who need voice-to-code or meeting transcription.
View all Whisper Large V3 hardware options →About NVIDIA GeForce RTX 4070 Ti 12GB
NVIDIA GeForce RTX 4070 Ti 12GB has 12 GB at 504 GB/s. Street price: $749.
See all models NVIDIA GeForce RTX 4070 Ti 12GB can run →Estimate method: Transcription model. FP16 3.1GB fits easily. Reference hardware source: github.com (2026-03-15)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.