GPU Server for 10 Concurrent Voice agent Users: Sizing Guide
Hardware recommendations for running real-time STT + TTS pipeline with 10 simultaneous users on dedicated GPU servers.
Ten Voice Agents, One GPU, £119/month
Most teams assume 10 concurrent voice users require expensive multi-GPU setups. They do not. An RTX 5060 Ti at £119/month handles 10 simultaneous voice streams with sub-500ms latency — because voice conversations have natural pauses, and the GPU is only actively processing during speech segments. API providers charge £450-£1,200/month for the same throughput.
Recommended Hardware
| GPU | VRAM | Monthly Cost | Recommended Models | Notes |
|---|---|---|---|---|
| RTX 5060 Ti | 16 GB | £119/mo | Whisper + XTTS v2 | Small team voice assistant |
| RTX 3090 | 24 GB | £159/mo | Whisper Large + StyleTTS2 | Higher quality pipeline |
Understanding Voice Pipeline Memory
The three-model pipeline — Whisper Large (~3 GB), an LLM (4-8 GB), and TTS (2-4 GB) — totals 10-16 GB of VRAM. All three models stay resident in memory, eliminating model-loading latency between conversation turns.
Here is the key insight for 10 users: in a typical voice conversation, each participant speaks 40-50% of the time. With 10 concurrent sessions, you have 4-5 active transcription tasks at any moment, not 10. The RTX 5060 Ti handles this comfortably while maintaining the under-500ms latency threshold that makes AI conversations feel natural.
Practical Sizing Considerations
- Call duration patterns: Short customer service calls (2-3 minutes) create bursty but manageable GPU load. Long consultative sessions (15+ minutes) produce more consistent utilisation. Profile your use case.
- Simultaneous speech detection: If callers frequently talk over the agent, you need faster STT processing. The RTX 3090’s extra bandwidth handles overlapping audio more gracefully.
- Response generation speed: The LLM step is usually the bottleneck. A 7B model generates responses fast enough for 10 streams; a 13B model might introduce noticeable pauses.
- Audio quality requirements: 16kHz audio is sufficient for telephony. 44.1kHz for premium experiences. Higher sample rates increase processing load per stream.
Path to 20 Users
A single RTX 5060 Ti serves 10 voice agents well. As you push toward 20 concurrent users, add a second GPU node and split the pipeline: one GPU handles STT+LLM, the other handles TTS. This eliminates VRAM contention and keeps latency tight.
GigaGPU supports multi-server deployments natively. Scale horizontally when your P95 latency starts creeping above 500ms.
Replacing Three API Bills
10 voice agent users through API providers means paying for Whisper API, an LLM provider, and a TTS service separately — totalling £450-£1,200/month. One RTX 5060 Ti at £119/month covers all three. That is £4,572-£13,572 in annual savings, plus you gain complete data privacy for every conversation.
Launch Your Voice Platform
Full voice agent pipeline for 10 concurrent users. One GPU, one bill, £119/month. No per-minute charges, no API rate limits.
