Scaling Large Language Models on Serverless GPUs: A Benchmark

The Setup

We ran a 70B-parameter instruction-tuned model on A100s using our optimized inference stack, orchestrated by a distributed serving framework.

Results

Our optimized inference engine provided a 3x throughput increase over standard pipelines, with a simplified scaling layer that handles burst traffic effectively.