GPU Server for 10 Concurrent LLM chatbot Users: Sizing Guide
Hardware recommendations for running LLM inference with 10 simultaneous users on dedicated GPU servers.
Quick Recommendation
For 10 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
7B models need 7–8 GB VRAM in FP16. At 10 concurrent users, continuous batching becomes essential — vLLM or TGI should be your serving framework. Target sub-200ms time-to-first-token for real-time chat applications.
The RTX 3090’s extra 8 GB of VRAM over the 4060 Ti provides a meaningful buffer for KV cache as concurrency grows.
Sizing Considerations
Ten concurrent users is the threshold where continuous batching transitions from optional to essential. Here are the key factors:
- Batching is critical: At 10 users, request queuing and continuous batching through vLLM or TGI can increase effective throughput by 2–3x over naive sequential processing.
- KV cache pressure: Each concurrent conversation consumes KV cache memory. Longer conversations need more VRAM, which is why the RTX 3090’s 24 GB is attractive here.
- Response length matters: Average response tokens directly impact how many users a single GPU can serve simultaneously.
- Burst handling: Size for P95 concurrent load. Brief spikes to 15 users can be absorbed by request queuing without noticeable latency impact.
Scaling Strategy
A single GPU with continuous batching can typically handle 10 concurrent chatbot users. As you approach 20, add a second node behind a reverse proxy.
GigaGPU supports seamless multi-server deployments with straightforward load-balancing configuration.
Cost Comparison
Serving 10 concurrent llm chatbot users via API providers typically costs £450-1,200/month depending on usage volume. A dedicated GPU server at £69/month gives you predictable costs with no per-request fees.
Handle 10 Users on a Single GPU
Deploy a dedicated GPU server optimised for 10 concurrent chatbot users. Fixed monthly pricing, no usage-based fees.
