OpenAIWhisper Large V3 on NVIDIA RTX PRO 6000 Blackwell Max-Q
Yes — RTX PRO 6000 Blackwell Max-Q runs Whisper Large V3 excellently at FP16 — real-time capable. 96 GB VRAM with plenty of headroom.
Model Size
1.55B
Device VRAM
96 GB
Bandwidth
1800 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for Whisper Large V3 on NVIDIA RTX PRO 6000 Blackwell Max-Q at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | – | 32ms | ✓ Yes | Excellent | estimated |
Notes
FP16
FP16 at 3.1 GB with 93 GB headroom. Real-time transcription.
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 RTX PRO 6000 Blackwell Max-Q
NVIDIA RTX PRO 6000 Blackwell Max-Q has 96 GB at 1800 GB/s. Street price: $7,000.
See all models NVIDIA RTX PRO 6000 Blackwell Max-Q can run →Estimate method: Estimated from full RTX PRO 6000 with ~8% reduction for Max-Q 300W power envelope. Reference hardware source: nvidia.com (2026-03-29)
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.