Your GPU Is Probably Idle

1. 1Feed the GPU from the input pipeline using large tensor-friendly shapes
2. 2Fuse small kernels with torch.compile to reduce overhead
3. 3Use lower precision data types like BF16 or FP8 to increase throughput
4. 4Treat LLM serving as a scheduling problem to optimize resource allocation
5. 5Scale to more GPUs only after one is healthy and optimized

AI engineers and data scientists can benefit from this knowledge to improve the performance of their GPU-accelerated models, while devops teams can use it to optimize their infrastructure

💡 GPU utilization counters can be misleading, focus on real throughput to optimize performance

💡 Maximize GPU performance by optimizing input pipelines and monitoring real throughput, not just utilization counters!