TensorRT

Definitions

1. TensorRT is an NVIDIA inference optimization runtime for compiled neural networks. It is commonly used for serving GPU models with lower latency and higher throughput, where teams need predictable behavior under real workloads rather than toy examples. Practitioners pay attention to supported operators, precision modes, and memory use, because those factors usually determine whether the approach improves quality, latency, reliability, or operating cost in production.

   In plain English: TensorRT is an AI concept teams use to train models, guide predictions, or make model behavior more reliable and easier to control in practice.

   Example: "We evaluated TensorRT in the new model pipeline because the baseline was plateauing; once it was wired into training and evaluation, quality improved enough to justify rolling it into the next release."

Related Terms

• Allocator
• Pipeline Parallelism
• Streaming Inference
• Tensor
• Tensor Core
• Tensor Parallelism
• TensorFlow
• TPU