OpenAIWhisper Large V3 Turbo on NVIDIA GeForce RTX 4070 Ti Super
Yes — RTX 4070 Ti Super runs Whisper Large V3 Turbo excellently at FP16 — real-time capable. 16 GB VRAM with plenty of headroom.
Model Size
810M
Device VRAM
16 GB
Bandwidth
672 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for Whisper Large V3 Turbo on NVIDIA GeForce RTX 4070 Ti Super at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | – | 120ms | ✓ Yes | Excellent | estimated |
Notes
FP16
672 GB/s delivers fast transcription. Processing latency ~120ms.
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 Ti Super
NVIDIA GeForce RTX 4070 Ti Super has 16 GB at 672 GB/s. Street price: $779.
See all models NVIDIA GeForce RTX 4070 Ti Super can run →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.