Private LLM Inference on Dedicated GPUs

Banking & Financial Services: Customer data could not leave the firm's cloud account, and per-token API costs were growing faster than usage. Inference Cost…

Client: Mid-size Financial Services Firm. Industry: Banking & Financial Services.

Challenge: Customer data could not leave the firm's cloud account, and per-token API costs were growing faster than usage.

Solution: Deployed open-weight LLMs inside the client's own cloud on autoscaling GPU nodes — vLLM serving with quantisation, an AI gateway for routing, fallbacks and caching, and full telemetry on latency and cost.

Technologies: vLLM, Kubernetes, NVIDIA GPUs, AI Gateway, Prometheus.

• Inference Cost: -60%
• P95 Latency: <800 ms
• Data Egress: Zero
• Uptime: 99.9%

• All case studies