GPU Server for 1000 Concurrent LLM chatbot Users: Sizing Guide
Hardware recommendations for running LLM inference with 1000 simultaneous users on dedicated GPU servers.
Quick Recommendation
For 1000 concurrent llm chatbot users, we recommend the 2x RTX 5090 (from £358/month) as the starting configuration. High-capacity deployment.
Recommended GPU Configurations
| GPU | VRAM | Monthly Cost | Recommended Models | Notes |
|---|---|---|---|---|
| 2x RTX 5090 | 32 GB | £358/mo | LLaMA 3 70B or Mixtral 8x7B | High-capacity deployment |
| 4x RTX 3090 | 24 GB | £356/mo | 7B models load-balanced | Maximum value at scale |
| 3x RTX 5080 | 16 GB | £327/mo | 7B models with vLLM batching | Balanced cluster |
VRAM & Throughput Requirements
1,000 concurrent users require a production-grade GPU cluster. Plan for 8–12 GPU nodes with redundancy. INT8-quantised 7B models on clusters of RTX 3090s deliver the best cost-per-user at this scale. For higher-quality output, a smaller cluster of RTX 5090s running Mixtral 8x7B provides GPT-3.5-class quality.
Sizing Considerations
1,000 concurrent users puts you in the realm of enterprise-scale AI infrastructure. The cost difference between dedicated hardware and API providers is staggering:
- Enterprise architecture: Deploy 8–12 GPU nodes with Kubernetes orchestration, auto-scaling, and rolling updates for zero-downtime deployments.
- Cost savings: API providers charge £45,000–£120,000/month for this scale. Dedicated GPUs from £358/month represent 99%+ savings.
- Global distribution: For international user bases, distribute GPU nodes across regions to minimise latency.
- SLA considerations: Implement N+2 redundancy, automated failover, and comprehensive monitoring across all cluster nodes.
Scaling Strategy
At 1,000 concurrent users, plan for a GPU cluster with 8+ nodes. Use Kubernetes with horizontal pod auto-scaling based on queue depth and GPU utilisation.
GigaGPU supports seamless multi-server deployments. Contact us for custom enterprise configurations.
Cost Comparison
Serving 1000 concurrent llm chatbot users via API providers typically costs £45,000-120,000/month depending on usage volume. A dedicated GPU server at £358/month gives you predictable costs with no per-request fees.
Enterprise Scale: £358/Month vs. £45,000+ on APIs
Deploy an enterprise GPU cluster for 1,000 concurrent chatbot users. The ROI is immediate and substantial.
