OpenAIWhisper Large V3 on NVIDIA GeForce RTX 4090
Yes — RTX 4090 runs Whisper Large V3 excellently at FP16. 24 GB VRAM with plenty of headroom.
Model Size
1.55B
Device VRAM
24 GB
Bandwidth
1008 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for Whisper Large V3 on NVIDIA GeForce RTX 4090 at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | – | – | ✓ Yes | Excellent | benchmarked |
Notes
FP16
~30x faster than real-time on 4090. Practically instant transcription.
At 3.1GB, runs alongside any coding model without meaningful VRAM impact.
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 4090
NVIDIA GeForce RTX 4090 has 24 GB at 1008 GB/s. Street price: $1,799.
See all models NVIDIA GeForce RTX 4090 can run →Builds with NVIDIA GeForce RTX 4090
Source: whisper.cpp benchmarks (2026-01-15)
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.