OpenAIWhisper Large V3 Turbo on NVIDIA GeForce RTX 4060 8GB
Yes — RTX 4060 8GB runs Whisper Large V3 Turbo excellently at FP16. 8 GB VRAM with plenty of headroom.
Model Size
810M
Device VRAM
8 GB
Bandwidth
272 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for Whisper Large V3 Turbo on NVIDIA GeForce RTX 4060 8GB 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
8x faster than full Whisper. 1.6GB VRAM. Real-time on any GPU.
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 4060 8GB
NVIDIA GeForce RTX 4060 8GB has 8 GB at 272 GB/s. Street price: $289.
See all models NVIDIA GeForce RTX 4060 8GB can run →Estimate method: 0.81B turbo model. FP16 1.6GB 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.