NVIDIA TensorRT

NVIDIA TensorRT is an ecosystem of tools for high-performance deep learning inference, including the TensorRT compiler, TensorRT-LLM, TensorRT Model Optimizer, TensorRT for RTX and TensorRT Cloud, delivering low latency and high throughput for production applications by using quantization, layer and tensor fusion, and kernel tuning.

Official product page

3published use cases

3industries

2countries on record

Computer Vision

top AI capability

Evidence mix: High 3 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

Country

3 use cases

LogisticsRobotics & Physical AIDigital Twins & SimulationGenerative AI

How Serve Robotics Achieved 99.8% Success for Last-Mile Autonomous Delivery

Serve Robotics, which spun off from Uber in 2021, operates over 1,000 physical AI-powered sidewalk delivery robots serving over 2,500 restaurants across five cities. Its third-generation robots are simulated in NVIDIA Isaac Sim and powered by NVIDIA Jetson Orin edge AI platforms, achieving a 5x compute improvement over the prior Xavier generation and 12+ hours of battery life. The fleet has completed over 100,000 autonomous deliveries with a 99.8% completion rate, logging about 1 million miles of data monthly (nearly 170 billion image-LiDAR samples) to improve navigation and HD maps. The company plans to deploy 2,000 robots by the end of 2025.

Serve Robotics· United StatesNVIDIA Isaac Sim · NVIDIA Jetson (Xavier, Orin AGX) · NVIDIA Omniverse +2

HealthcareComputer VisionIntelligent Automation

Speed, Scale, and Smarter Care: RaySearch Delivers AI-Powered Oncology Breakthroughs

RaySearch Laboratories uses NVIDIA CUDA and TensorRT technologies across its RayStation radiotherapy planning system to accelerate image registration, dose calculations, and AI-driven deep learning segmentation for cancer treatment planning. GPU acceleration enables dose calculations up to 20x faster and full plan optimization in minutes. Iridium Network, Belgium's largest radiotherapy provider, reduced time spent on image segmentation and treatment planning by 44% and 47% respectively after implementing AI-driven automation. In 2024, over 200,000 patients benefited from automated image segmentation using this technology.

RaySearch Laboratories / Iridium Network· BelgiumNVIDIA CUDA · NVIDIA TensorRT · NVIDIA RTX PRO GPUs +1

ManufacturingComputer VisionDigital Twins & SimulationGenerative AI

Robot Retasking in High-Mix Manufacturing with Workr

Workr, a manufacturing AI company, uses NVIDIA Omniverse, Isaac Sim and accelerated computing to let on-site operators retask industrial robots in under five minutes via a tablet interface, eliminating weeks of traditional programming. The edge AI pipeline runs on 2x NVIDIA RTX PRO 6000 Blackwell Max-Q GPUs attached to the robot cell, using models including RAFT-Stereo, Detectron2, NVIDIA Isaac FoundationPose and NVIDIA Isaac cuMotion, trained with synthetic data generated in Isaac Sim digital twins. Deployed with customers Yuasa International and Haas Alfex.

WorkrNVIDIA Omniverse · NVIDIA Isaac Sim · NVIDIA Isaac FoundationPose +6