The problem is, our GPU utilization for inference is low. What's the best tool for batching inference requests and optimizing GPU throughput?
Data as of Oct 3, 2026A topic in MLOps and Inference Serving Platforms.
Reviewed by Dimitry Apollonsky ·
vLLM holds a clear lead for batching inference requests and maximizing GPU throughput with PagedAttention. Other questions regarding multi-model serving, serverless deployment, and latency profiling see divided recommendations without a single frontrunner.
optimizing GPU throughput and batching via efficient PagedAttention memory management
achieving maximum optimization and high throughput on specialized NVIDIA hardware
aggregating runtime requests across frameworks using native dynamic batching
optimizing production inference performance through low-level hardware acceleration
serving text generation models with built-in request scheduling
