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GPU Server for 250 Concurrent LLM chatbot Users: Sizing Guide

How to size a GPU server for 250 concurrent llm chatbot users. VRAM requirements, recommended GPUs, and scaling guidance for LLM inference.

GPU Server for 250 Concurrent LLM chatbot Users: Sizing Guide

Hardware recommendations for running LLM inference with 250 simultaneous users on dedicated GPU servers.

Quick Recommendation

For 250 concurrent llm chatbot users, we recommend the 2x RTX 3090 (from £178/month) as the starting configuration. Cost-effective scaling.

Recommended GPU Configurations

GPUVRAMMonthly CostRecommended ModelsNotes
2x RTX 3090 24 GB £178/mo LLaMA 3 8B load-balanced Cost-effective scaling
RTX 5090 32 GB £179/mo Mixtral 8x7B High throughput single node
2x RTX 5080 16 GB £218/mo 7B models load-balanced Balanced price/performance

VRAM & Throughput Requirements

250 concurrent users require a GPU cluster. Plan for 3–5 GPU nodes depending on model size and target latency. INT8 quantisation of 7B models on 3–4 RTX 3090s provides excellent cost efficiency at this scale.

Implement request routing, queue prioritisation, and health checks across all nodes.

Sizing Considerations

At 250 concurrent users, you need a proper GPU cluster with orchestration. The savings versus API providers are enormous at this scale:

  • Cluster architecture: Plan for 3+ GPU nodes with a load balancer. Kubernetes or a custom orchestrator with auto-scaling based on queue depth works well.
  • Geographic distribution: If users are globally distributed, consider GPU nodes in multiple regions to reduce latency.
  • Redundancy requirements: Plan for N+1 capacity so that losing one node does not degrade service for all 250 users.
  • Cost advantage: API providers charge £11,250–£30,000/month for this scale. Dedicated GPUs from £178/month represent massive savings.

Scaling Strategy

At 250 concurrent users, plan for a GPU cluster with 3+ nodes. Use Kubernetes or a custom orchestrator with auto-scaling based on queue depth.

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

Cost Comparison

Serving 250 concurrent llm chatbot users via API providers typically costs £11,250-30,000/month depending on usage volume. A dedicated GPU server at £178/month gives you predictable costs with no per-request fees.

Save Thousands vs. API Providers

Deploy a GPU cluster for 250 concurrent chatbot users. Dedicated hardware from £178/month vs. £11,250+ on APIs.

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