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GPU Server for 50 Concurrent LLM chatbot Users: Sizing Guide

How to size a GPU server for 50 concurrent llm chatbot users. VRAM requirements, recommended GPUs, and scaling guidance for LLM inference.

GPU Server for 50 Concurrent LLM chatbot Users: Sizing Guide

Hardware recommendations for running LLM inference with 50 simultaneous users on dedicated GPU servers.

Quick Recommendation

For 50 concurrent llm chatbot users, we recommend the RTX 3090 (from £89/month) as the starting configuration. Solid mid-range option.

Recommended GPU Configurations

GPUVRAMMonthly CostRecommended ModelsNotes
RTX 3090 24 GB £89/mo LLaMA 3 8B or Mistral 7B Solid mid-range option
RTX 5080 16 GB £109/mo 7B models with INT8 quantisation Higher throughput per request
RTX 5090 32 GB £179/mo Mixtral 8x7B or LLaMA 3 70B (INT4) Premium single-GPU option

VRAM & Throughput Requirements

50 concurrent chatbot users push a single GPU toward its limits. Plan for 2–3 GPUs with load balancing, or use a high-VRAM card like the RTX 5090 with aggressive quantisation and optimised batching.

Continuous batching via vLLM is non-negotiable at this scale. Target under 500ms time-to-first-token for acceptable user experience.

Sizing Considerations

At 50 concurrent users, you are running a serious production deployment. Multi-GPU configurations start to make sense:

  • Multi-GPU planning: A single GPU can handle 50 users with aggressive batching, but two load-balanced GPUs provide better latency and redundancy.
  • Session affinity: For multi-turn conversations, route returning users to the same GPU to leverage cached KV state.
  • Queue management: Implement priority queuing to ensure premium users or time-sensitive requests get processed first.
  • Failover: At this user count, downtime is visible. Consider redundant GPU nodes for high availability.

Scaling Strategy

A multi-GPU setup is recommended at 50 users. Use load balancing across 2–3 GPUs with session affinity for consistent performance.

GigaGPU supports seamless multi-server deployments. Start with the minimum viable configuration and scale horizontally as traffic grows.

Cost Comparison

Serving 50 concurrent llm chatbot users via API providers typically costs £2,250-6,000/month depending on usage volume. A dedicated GPU server at £89/month gives you predictable costs with no per-request fees.

Scale to 50 Concurrent Users

Deploy dedicated GPU servers for 50 concurrent chatbot users. Fixed pricing, no per-request charges, enterprise-ready.

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