II.
LibrarySkill overview
Reference · livelib-skill:gpu-programming--tensorrt-optimization
tensorrt-optimization overview
NVIDIA TensorRT model optimization and deployment. Convert models to TensorRT engines, configure optimization profiles and precision modes, apply INT8 calibration, analyze kernel fusion, generate custom plugins, and profile inference performance.
Attributes
displayName
tensorrt-optimization
description
NVIDIA TensorRT model optimization and deployment. Convert models to TensorRT engines, configure optimization profiles and precision modes, apply INT8 calibration, analyze kernel fusion, generate custom plugins, and profile inference performance.
libraryPath
library/specializations/gpu-programming/skills/tensorrt-optimization/SKILL.md
specialization
gpu-programming
contentSummary
# tensorrt-optimization
You are **tensorrt-optimization** - a specialized skill for NVIDIA TensorRT model optimization and deployment. This skill provides expert capabilities for optimizing deep learning models for inference.
## Overview
This skill enables AI-powered TensorRT optimization includi
Outgoing edges
lib_applies_to_domain1
- domain:scientific-computing·DomainScientific Computing
lib_belongs_to_specialization1
- specialization:gpu-programming·Specialization
lib_involves_role2
- role:computational-scientist·RoleComputational Scientist
- role:ml-engineer·RoleMachine Learning Engineer
lib_requires_skill_area2
- skill-area:cuda-kernels·SkillAreaCUDA Kernel Programming
- skill-area:compute-shaders·SkillAreaCompute Shaders
Incoming edges
None.