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How to estimate inference cost with TensorRT-LLM

Step-by-step guide: how to estimate inference cost using TensorRT-LLM.

This guide shows you how to estimate inference cost using TensorRT-LLM. Harch Corp provides GPU cloud infrastructure optimized for TensorRT-LLM with H100/H200 GPUs, 400G InfiniBand, and 47 gCO2/kWh carbon intensity.

1

Prerequisites: Set up your TensorRT-LLM environment on Harch Corp GPU cloud.

2

Configuration: Configure TensorRT-LLM for estimate inference cost.

3

Execution: Run your estimate inference cost workload. Monitor GPU utilization.

4

Optimization: Optimize for performance and cost.

5

Monitoring: Set up monitoring with Prometheus and Grafana.

6

Scaling: Scale to multiple GPUs with distributed training.

7

Deployment: Deploy your model to production.

8

Cost optimization: Use spot instances and auto-scaling.

Try on Harch Corp

Deploy TensorRT-LLM on our carbon-aware GPU cloud.