OpenAIWhisper Large V3 Turbo on NVIDIA GeForce RTX 4070 Super
Yes — RTX 4070 Super runs Whisper Large V3 Turbo excellently at FP16 — real-time capable. 12 GB VRAM with plenty of headroom.
Model Size
810M
Device VRAM
12 GB
Bandwidth
504 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for Whisper Large V3 Turbo on NVIDIA GeForce RTX 4070 Super at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | – | 140ms | ✓ Yes | Excellent | estimated |
Notes
FP16
Real-time audio transcription. 504 GB/s bandwidth.
About Whisper Large V3 Turbo
Whisper Large V3 Turbo (810M) is a transcription model. Distilled version of Whisper Large V3. 8x faster than the full model with minimal quality loss. The go-to for real-time transcription on local hardware. Runs comfortably on any GPU with 2GB+ VRAM.
View all Whisper Large V3 Turbo hardware options →About NVIDIA GeForce RTX 4070 Super
NVIDIA GeForce RTX 4070 Super has 12 GB at 504 GB/s. Street price: $599.
See all models NVIDIA GeForce RTX 4070 Super can run →Builds with NVIDIA GeForce RTX 4070 Super
Estimate method: Performance estimates based on model size and device bandwidth. 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.