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Home / Blog / Benchmarks / Coqui XTTS-v2 on RTX 3090: TTS Speed & Cost, Category: Benchmarks, Slug: coqui-xtts-v2-on-rtx-3090-benchmark, Excerpt: Coqui XTTS-v2 benchmarked on RTX 3090: RTF 0.18, 5.6x real-time processing, VRAM usage, and cost per audio hour., Internal links: 8 –>
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Coqui XTTS-v2 on RTX 3090: TTS Speed & Cost, Category: Benchmarks, Slug: coqui-xtts-v2-on-rtx-3090-benchmark, Excerpt: Coqui XTTS-v2 benchmarked on RTX 3090: RTF 0.18, 5.6x real-time processing, VRAM usage, and cost per audio hour., Internal links: 8 –>

Coqui XTTS-v2 benchmarked on RTX 3090: RTF 0.18, 5.6x real-time processing, VRAM usage, and cost per audio hour., Internal links: 8 -->

Most people think of the RTX 3090 as a deep learning or image generation card. Fair enough — but it also happens to be one of the best values for neural text-to-speech. At 5.6x real-time with 21 GB of VRAM to spare, the 3090 running Coqui XTTS-v2 on GigaGPU is built for serious voice production.

Synthesis Benchmarks

MetricValue
Real-Time Factor (lower = faster)0.18
Synthesis speed5.6x real-time
Audio hours processed per GPU-hour5.6
PrecisionFP16
Performance ratingGood

Benchmark conditions: FP16 inference, single-stream processing, 24kHz output, English, single-speaker. XTTS-v2 streaming server.

VRAM: Room for Everything

ComponentVRAM
Model weights (FP16)2.4 GB
Audio buffer + runtime~0.4 GB
Total RTX 3090 VRAM24 GB
Free headroom~21.6 GB

Twenty-one GB of headroom is almost absurd for a TTS model. But it unlocks configurations that no other mid-range card can match: run XTTS-v2 alongside Whisper Large-v3, a 7B LLM, and a Stable Diffusion checkpoint — simultaneously. The 3090 is the single-card multi-model champion at this price point.

Audio Generation Costs

Cost MetricValue
Server cost£0.75/hr (£149/mo)
Cost per audio hour£0.135
Audio hours per £17.4

Just over 13p per hour of synthesised voice. At 5.6x speed, the 3090 can generate roughly 134 hours of speech per day — enough for a small audiobook publisher’s entire monthly catalogue. Compare across all GPUs on the benchmark dashboard.

The Voice Production Workhorse

The 3090’s 5.6x synthesis speed bridges the gap between batch and interactive use. Short utterances (under 5 seconds) render almost instantly, making it viable for chatbot voices with minor latency. For longer narration work, the throughput is excellent. If you need faster interactive responses, the RTX 5080 pushes to 8.3x. Full guide: best GPU for text-to-speech.

Quick deploy:

docker run --gpus all -p 8000:8000 ghcr.io/coqui-ai/xtts-streaming-server:latest

See: Coqui hosting guide, all benchmarks, PaddleOCR hosting.

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