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ease
features
design
support

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Description

NVIDIA Confidential Computing safeguards data while it is actively being processed, ensuring the protection of AI models and workloads during execution by utilizing hardware-based trusted execution environments integrated within the NVIDIA Hopper and Blackwell architectures, as well as compatible platforms. This innovative solution allows businesses to implement AI training and inference seamlessly, whether on-site, in the cloud, or at edge locations, without requiring modifications to the model code, all while maintaining the confidentiality and integrity of both their data and models. Among its notable features are the zero-trust isolation that keeps workloads separate from the host operating system or hypervisor, device attestation that confirms only authorized NVIDIA hardware is executing the code, and comprehensive compatibility with shared or remote infrastructures, catering to ISVs, enterprises, and multi-tenant setups. By protecting sensitive AI models, inputs, weights, and inference processes, NVIDIA Confidential Computing facilitates the execution of high-performance AI applications without sacrificing security or efficiency. This capability empowers organizations to innovate confidently, knowing their proprietary information remains secure throughout the entire operational lifecycle.

Description

NVIDIA TensorRT is a comprehensive suite of APIs designed for efficient deep learning inference, which includes a runtime for inference and model optimization tools that ensure minimal latency and maximum throughput in production scenarios. Leveraging the CUDA parallel programming architecture, TensorRT enhances neural network models from all leading frameworks, adjusting them for reduced precision while maintaining high accuracy, and facilitating their deployment across a variety of platforms including hyperscale data centers, workstations, laptops, and edge devices. It utilizes advanced techniques like quantization, fusion of layers and tensors, and precise kernel tuning applicable to all NVIDIA GPU types, ranging from edge devices to powerful data centers. Additionally, the TensorRT ecosystem features TensorRT-LLM, an open-source library designed to accelerate and refine the inference capabilities of contemporary large language models on the NVIDIA AI platform, allowing developers to test and modify new LLMs efficiently through a user-friendly Python API. This innovative approach not only enhances performance but also encourages rapid experimentation and adaptation in the evolving landscape of AI applications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Blackwell Security
CUDA
Dataoorts GPU Cloud
Google Cloud Platform
Hugging Face
Kimi K2
Kimi K2.5
LaunchX
MATLAB
NVIDIA AI Enterprise
NVIDIA Broadcast
NVIDIA DRIVE
NVIDIA DeepStream SDK
NVIDIA Morpheus
NVIDIA NIM
NVIDIA Riva Studio
RankLLM
Rosepetal AI
TensorFlow
Thunder Compute

Integrations

Blackwell Security
CUDA
Dataoorts GPU Cloud
Google Cloud Platform
Hugging Face
Kimi K2
Kimi K2.5
LaunchX
MATLAB
NVIDIA AI Enterprise
NVIDIA Broadcast
NVIDIA DRIVE
NVIDIA DeepStream SDK
NVIDIA Morpheus
NVIDIA NIM
NVIDIA Riva Studio
RankLLM
Rosepetal AI
TensorFlow
Thunder Compute

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/data-center/solutions/confidential-computing/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/tensorrt

Product Features

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Alternatives

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