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What is NVIDIA TensorRT?

NVIDIA TensorRT is a powerful collection of APIs focused on optimizing deep learning inference, providing a runtime for efficient model execution and offering tools that minimize latency while maximizing throughput in real-world applications. By harnessing the capabilities of the CUDA parallel programming model, TensorRT improves neural network architectures from major frameworks, optimizing them for lower precision without sacrificing accuracy, and enabling their use across diverse environments such as hyperscale data centers, workstations, laptops, and edge devices. It employs sophisticated methods like quantization, layer and tensor fusion, and meticulous kernel tuning, which are compatible with all NVIDIA GPU models, from compact edge devices to high-performance data centers. Furthermore, the TensorRT ecosystem includes TensorRT-LLM, an open-source initiative aimed at enhancing the inference performance of state-of-the-art large language models on the NVIDIA AI platform, which empowers developers to experiment and adapt new LLMs seamlessly through an intuitive Python API. This cutting-edge strategy not only boosts overall efficiency but also fosters rapid innovation and flexibility in the fast-changing field of AI technologies. Moreover, the integration of these tools into various workflows allows developers to streamline their processes, ultimately driving advancements in machine learning applications.

What is LEAP?

The LEAP Edge AI Platform provides an all-encompassing on-device AI toolchain enabling developers to construct edge AI applications, covering aspects from model selection to direct inference on the device itself. This innovative platform includes a best-model search engine that efficiently identifies the ideal model tailored to specific tasks and hardware constraints, alongside a variety of pre-trained model bundles available for quick download. Furthermore, it offers fine-tuning capabilities, complete with GPU-optimized scripts, allowing for the customization of models such as LFM2 to meet specific application needs. With its support for vision-enabled features across multiple platforms including iOS, Android, and laptops, the platform also integrates function-calling capabilities that enable AI models to interact with external systems via structured outputs. For effortless deployment, LEAP provides an Edge SDK that allows developers to load and query models locally, simulating cloud API functions while working completely offline. Additionally, its model bundling service simplifies the process of packaging any compatible model or checkpoint into an optimized bundle for edge deployment. This extensive array of tools guarantees that developers are well-equipped to efficiently and effectively build and launch advanced AI applications, ensuring a streamlined development process that caters to modern technological demands.

Media

Media

Integrations Supported

CUDA
Hugging Face
Kimi K2
Kimi K2.5
Kimi K2.6
Liquid AI
NVIDIA AI Enterprise
NVIDIA Clara
NVIDIA DRIVE
NVIDIA Jetson
NVIDIA Merlin
NVIDIA Morpheus
NVIDIA NIM
NVIDIA Riva Studio
NVIDIA virtual GPU
Python
RankGPT
RankLLM
Thunder Compute
Ultralytics

Integrations Supported

CUDA
Hugging Face
Kimi K2
Kimi K2.5
Kimi K2.6
Liquid AI
NVIDIA AI Enterprise
NVIDIA Clara
NVIDIA DRIVE
NVIDIA Jetson
NVIDIA Merlin
NVIDIA Morpheus
NVIDIA NIM
NVIDIA Riva Studio
NVIDIA virtual GPU
Python
RankGPT
RankLLM
Thunder Compute
Ultralytics

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/tensorrt

Company Facts

Organization Name

Liquid AI

Date Founded

2023

Company Location

United States

Company Website

leap.liquid.ai/platform

Categories and Features

Categories and Features

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