NVIDIA TensorRTNVIDIA
|
OpenVINOIntel
|
|||||
Related Products
|
||||||
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 Intel® Distribution of OpenVINO™ toolkit is an open-source AI development toolkit that accelerates inference across Intel hardware platforms. Designed to streamline AI workflows, it allows developers to deploy optimized deep learning models for computer vision, generative AI, and large language models (LLMs). With built-in tools for model optimization, the platform ensures high throughput and lower latency, reducing model footprint without compromising accuracy. OpenVINO™ is perfect for developers looking to deploy AI across a range of environments, from edge devices to cloud servers, ensuring scalability and performance across Intel architectures.
|
|||||
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
Supported
Mac
Supported
Linux
Supported
Cloud
Not 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
AI developers and data scientists seeking optimized, scalable AI deployment solutions across Intel hardware for applications in computer vision, LLMs, and generative AI
|
|||||
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
|
Pricing
Free
Open source
Free Version
Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Company InformationNVIDIA
Founded: 1993
United States
developer.nvidia.com/tensorrt
|
Company InformationIntel
Founded: 1968
United States
www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
|
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Hugging Face
Supported
LaunchX
Supported
PyTorch
Supported
TensorFlow
Supported
Cameralyze
Not Supported
Dataoorts GPU Cloud
Supported
EndoAim
Not Supported
Intel Geti
Not Supported
Intel Open Edge Platform
Not Supported
Kimi K2.6
Supported
|
Integrations
Hugging Face
Supported
LaunchX
Supported
PyTorch
Supported
TensorFlow
Supported
Cameralyze
Supported
Dataoorts GPU Cloud
Not Supported
EndoAim
Supported
Intel Geti
Supported
Intel Open Edge Platform
Supported
Kimi K2.6
Not Supported
|
|||||
|
|
|