RTX 5090
Vorteile
- Runs Whisper Large V3 at Q4 natively
- 32 GB VRAM — adequate headroom
40 consumer GPUs can run Whisper Large V3 at Q4 natively. Precise VRAM thresholds and benchmarks below.
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llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →
This model requires aEntry GPU (8 GB VRAM)
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
Vorteile
Vorteile
Vorteile
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Check if your GPU can run Whisper Large V3 →
VRAM Calculator — instant compatibility check
RTX 5090
32 GB · Runs Q4 natively · Check availability
*Prices and availability may change. Some links are affiliate links.
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 4 GB | 3.1 GB | Maximum |
| Q8 (high quality) | 2.5 GB | 1.6 GB | Near-lossless |
| Q4 (recommended) Best balance | 1.5 GB | 0.9 GB | Recommended |
| Q2 (minimum) | 1 GB | 0.5 GB | Quality loss |
| Developer | OpenAI |
| Parameters | 1.55B |
| License | MIT |
| Use cases | voice |
| Released | 2023-11 |
Hugging Face
openai/whisper-large-v3 Whisper Large V3 requires <strong class="text-primary-container">1.5 GB VRAM</strong> at Q4. 40 consumer GPUs meet this threshold. Below 8 GB or -0.5 GB you'll hit significant offload latency.
40 Q4 native · 0 offload
| GPU Unit | VRAM | Compatibility | Est. Speed | Action |
|---|---|---|---|---|
| RTX 5090 | 32GB | Optimal | 345 tok/s | Calculate → |
| RTX 4090 | 24GB | Optimal | 345 tok/s | Calculate → |
| M4 Ultra | 128GB | Optimal | 345 tok/s | Calculate → |
| RTX 5080 | 16GB | Optimal | 345 tok/s | Calculate → |
| M3 Ultra | 192GB | Optimal | 336 tok/s | Calculate → |
| RTX 4080 Super | 16GB | Optimal | 322 tok/s | Calculate → |
| RTX 5070 Ti | 16GB | Optimal | 342 tok/s | Calculate → |
| RTX 3090 | 24GB | Optimal | 344 tok/s | Calculate → |
| M4 Max 48GB | 48GB | Optimal | 240 tok/s | Calculate → |
| RX 7900 XTX | 24GB | Optimal | 345 tok/s | Calculate → |
| M4 Max 36GB | 36GB | Optimal | 240 tok/s | Calculate → |
| RTX 4070 Ti Super | 16GB | Optimal | 295 tok/s | Calculate → |
| RTX 3080 Ti | 12GB | Optimal | 340 tok/s | Calculate → |
| RX 7900 XT | 20GB | Optimal | 336 tok/s | Calculate → |
| RTX 5070 | 12GB | Optimal | 295 tok/s | Calculate → |
| RTX 3080 | 10GB | Optimal | 333 tok/s | Calculate → |
| M4 Pro | 24GB | Optimal | 119 tok/s | Calculate → |
| RX 7800 XT | 16GB | Optimal | 274 tok/s | Calculate → |
| RX 6800 XT | 16GB | Optimal | 225 tok/s | Calculate → |
| RTX 4070 | 12GB | Optimal | 221 tok/s | Calculate → |
| RTX 4060 Ti 16GB | 16GB | Optimal | 126 tok/s | Calculate → |
| RX 7700 XT | 12GB | Optimal | 190 tok/s | Calculate → |
| RTX 3070 Ti | 8GB | Optimal | 267 tok/s | Calculate → |
| RTX 4060 Ti | 8GB | Optimal | 126 tok/s | Calculate → |
| RTX 3070 | 8GB | Optimal | 196 tok/s | Calculate → |
| RX 6700 XT | 12GB | Optimal | 169 tok/s | Calculate → |
| M3 Pro | 18GB | Optimal | 66 tok/s | Calculate → |
| RTX 3060 Ti | 8GB | Optimal | 197 tok/s | Calculate → |
| RTX 2080 Ti | 11GB | Optimal | 197 tok/s | Calculate → |
| RTX 3060 | 12GB | Optimal | 158 tok/s | Calculate → |
| M2 Pro | 16GB | Optimal | 88 tok/s | Calculate → |
| RTX 4060 | 8GB | Optimal | 119 tok/s | Calculate → |
| Arc A770 16GB | 16GB | Optimal | 98 tok/s | Calculate → |
| M1 Pro | 16GB | Optimal | 88 tok/s | Calculate → |
| RX 7600 | 8GB | Optimal | 127 tok/s | Calculate → |
| RX 6600 XT | 8GB | Optimal | 119 tok/s | Calculate → |
| Arc A750 8GB | 8GB | Optimal | 89 tok/s | Calculate → |
| RX 6600 | 8GB | Optimal | 108 tok/s | Calculate → |
| RTX 3050 8GB | 8GB | Optimal | 98 tok/s | Calculate → |
| GTX 1660 Super | 6GB | Optimal | 147 tok/s | Calculate → |
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
RTX 5090
32 GB VRAM
Check availability →
RTX 4090
24 GB VRAM
Check availability →
M4 Ultra
128 GB VRAM
Check availability →
Einige Links sind Amazon-Partnerlinks. Wir koennen ohne Mehrkosten fuer Sie eine Provision erhalten. Amazon-Cookies koennen nach Ihrem Klick bis zu 24 Stunden bestehen.
A lightweight model like Whisper Large V3 runs well on consumer hardware from 6 GB VRAM. Ideal for daily use with Ollama or LM Studio. Use the VRAM calculator to check your setup.
Which GPU is worth it? Real specs and benchmarks side by side.
GPUs that run Whisper Large V3 at Q4 — sorted by AI performance score.
Einige Links sind Amazon-Partnerlinks. Wir koennen ohne Mehrkosten fuer Sie eine Provision erhalten. Amazon-Cookies koennen nach Ihrem Klick bis zu 24 Stunden bestehen.
Similar models in the voice category with comparable VRAM footprints.
The VRAM Calculator tells you exactly which quantization your hardware can handle.
RTX 5090
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