GPU Server for 5 Concurrent LLM chatbot Users: Sizing Guide
Hardware recommendations for running LLM inference with 5 simultaneous users on dedicated GPU servers.
Quick Recommendation
For 5 concurrent llm chatbot users, we recommend the RTX 4060 Ti (from £69/month) as the starting configuration. Budget-friendly for small teams.
Recommended GPU Configurations
| GPU | VRAM | Monthly Cost | Recommended Models | Notes |
|---|---|---|---|---|
| RTX 4060 Ti | 16 GB | £69/mo | Mistral 7B / LLaMA 3 8B | Budget-friendly for small teams |
| RTX 3090 | 24 GB | £89/mo | LLaMA 3 8B / Qwen 7B | Best value with 24 GB VRAM |
VRAM & Throughput Requirements
A 7B-parameter model in FP16 consumes 7–8 GB of VRAM. INT4 quantisation can squeeze 13B models into 8 GB or 70B models into 40 GB. For 5 concurrent users running a 7B model, a single 16 GB GPU handles the load comfortably — especially with continuous batching through vLLM or TGI keeping GPU utilisation high.
Sizing Considerations
Five concurrent users is a common starting point for internal tools and small-scale customer bots. Here is what to consider when choosing hardware:
- Real vs. peak concurrency: 5 concurrent users rarely means 5 simultaneous GPU operations. Request queuing and batching keep actual utilisation around 40–60% of theoretical peak.
- Response length: Short 200-token replies serve more users per second than 2,000-token responses. Profile your average output length to size accurately.
- Latency targets: For real-time chat, aim for sub-200ms time-to-first-token. Batch or async workloads can tolerate higher queue depths.
- Growth plan: If you expect to double users within months, start with the RTX 3090 for its larger VRAM buffer.
Scaling Strategy
A single GPU comfortably handles 5 chatbot users. As you approach 10 concurrent sessions, consider adding a second node behind a reverse proxy for horizontal scaling.
GigaGPU supports seamless multi-server deployments. Start with the minimum configuration and scale out as your user base grows.
Cost Comparison
Serving 5 concurrent llm chatbot users via API providers typically costs £225-600/month depending on usage volume. A dedicated GPU server at £69/month gives you predictable costs with no per-request fees.
Start Small, Scale When Ready
Deploy a dedicated GPU server sized for 5 concurrent chatbot users. Fixed monthly pricing, no per-request charges, full control.
