TensorRT-LLM in 2026: what is the PyTorch backend, how does its in-flight batching admit requests, and when do you still pick it?
Most answers still describe building a TensorRT engine per GPU and batch shape. The current release accepts only the PyTorch backend, and its default admission policy can halve your concurrency. The answer covers both, then says when it is still the right engine.
Updated Oct 2026 · Worked answers on inference mechanisms, with calculations, implementation details, and follow-up questions.
Most answers still describe building a TensorRT engine per GPU and batch shape. The current release accepts only the PyTorch backend, and its default admission policy can halve your concurrency. The answer covers both, then says when it is still the right engine.
At batch 1 the step reads every weight once to produce one token per sequence, so arithmetic intensity sits near 1 FLOP per byte and the tensor cores idle.