Can the RTX 3050 Run Whisper?
Yes — the RTX 3050 6 GB is the cheapest dedicated GPU we host that fits Whisper Large-v3 at FP16. Real-time transcription is comfortable; batch jobs hit ~3× real-time factor.
Yes — tightThe RTX 3050 (6 GB) just fits Whisper Large-v3 at FP16 (6 GB). For comfortable production use, drop to FP8 / INT8 quantisation.
Detailed Breakdown
The RTX 3050 has 6 GB of VRAM and Whisper Large-v3 needs about 6 GB at FP16. The fit is tight but works. With faster-whisper (CTranslate2) the model runs at INT8 by default, dropping memory pressure to ~3 GB and freeing room for VAD and pre/post-processing.
- Whisper Large-v3 INT8 — ~3 GB. RTF 3-4× on the 3050.
- Whisper Large-v3 FP16 — 6 GB. Tight, but works for one stream.
- Distil-Whisper Large-v3 — ~3 GB INT8. Faster, English-only.
- VAD + Whisper — Silero VAD adds ~500 MB. Still fits.
The 3050 is the right card for transcription-only deployments at low concurrency. From £69/mo, it’s the cheapest dedicated server we host. For multi-stream concurrency or stacking with an LLM, step up to a 3090 or 5090.
Frequently Asked Questions
The questions buyers actually ask before committing to a GPU server.
Can I do real-time on a 3050?
Yes — single-stream real-time captioning works with Whisper-Streaming. Time-to-first-word ~1.2 seconds.
Concurrent streams?
1-2 streams comfortably. For more, the 3060 12 GB or 3090 are better fits.
Does the 3050 support Whisper-Streaming?
Yes — same software stack works on every NVIDIA card we rent.
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