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About

NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.

About

The Xilinx’s AI development platform for AI inference on Xilinx hardware platforms consists of optimized IP, tools, libraries, models, and example designs. It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on Xilinx FPGA and ACAP. Supports mainstream frameworks and the latest models capable of diverse deep learning tasks. Provides a comprehensive set of pre-optimized models that are ready to deploy on Xilinx devices. You can find the closest model and start re-training for your applications! Provides a powerful open source quantizer that supports pruned and unpruned model quantization, calibration, and fine tuning. The AI profiler provides layer by layer analysis to help with bottlenecks. The AI library offers open source high-level C++ and Python APIs for maximum portability from edge to cloud. Efficient and scalable IP cores can be customized to meet your needs of many different applications.

Platforms Supported

Windows Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Machine learning engineers and data scientists seeking a tool to optimize their deep learning operations

Audience

Developers requiring an adaptable and real-time AI inference acceleration solution to build accelerated applications

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/tensorrt

Company Information

Xilinx
Founded: 1984
United States
www.xilinx.com/products/design-tools/vitis/vitis-ai.html

Alternatives

OpenVINO

OpenVINO

Intel

Alternatives

Categories

AI Inference Supported

Categories

AI Development Supported
AI Fine-Tuning Supported
AI Inference Supported
Machine Learning Supported

Integrations

TensorFlow Supported
CUDA Supported
Dataoorts GPU Cloud Supported
Kimi K2.6 Supported
Kimi K3.1 Pro Supported
LDRA Tool Suite Not Supported
LaunchX Supported
MATLAB Supported
ModelSim Not Supported
NVIDIA Broadcast Supported
NVIDIA Clara Supported
NVIDIA NIM Supported
NVIDIA Riva Studio Supported
NVIDIA virtual GPU Supported
PyTorch Supported
Python Supported
Rapita Verification Suite Not Supported
Rosepetal AI Supported
Thunder Compute Supported
Ultralytics Supported

Integrations

TensorFlow Supported
CUDA Not Supported
Dataoorts GPU Cloud Not Supported
Kimi K2.6 Not Supported
Kimi K3.1 Pro Not Supported
LDRA Tool Suite Supported
LaunchX Not Supported
MATLAB Not Supported
ModelSim Supported
NVIDIA Broadcast Not Supported
NVIDIA Clara Not Supported
NVIDIA NIM Not Supported
NVIDIA Riva Studio Not Supported
NVIDIA virtual GPU Not Supported
PyTorch Not Supported
Python Not Supported
Rapita Verification Suite Supported
Rosepetal AI Not Supported
Thunder Compute Not Supported
Ultralytics Not Supported
Claim NVIDIA TensorRT and update features and information
Claim NVIDIA TensorRT and update features and information
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Claim Xilinx and update features and information