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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

Training-ready platform with NVIDIA® H100 Tensor Core GPUs. Competitive pricing. Dedicated support. Built for large-scale ML workloads: Get the most out of multihost training on thousands of H100 GPUs of full mesh connection with latest InfiniBand network up to 3.2Tb/s per host. Best value for money: Save at least 50% on your GPU compute compared to major public cloud providers*. Save even more with reserves and volumes of GPUs. Onboarding assistance: We guarantee a dedicated engineer support to ensure seamless platform adoption. Get your infrastructure optimized and k8s deployed. Fully managed Kubernetes: Simplify the deployment, scaling and management of ML frameworks on Kubernetes and use Managed Kubernetes for multi-node GPU training. Marketplace with ML frameworks: Explore our Marketplace with its ML-focused libraries, applications, frameworks and tools to streamline your model training. Easy to use. We provide all our new users with a 1-month trial period.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Founders of AI startups, ML engineers, MLOps engineers, and any roles interested in optimizing compute resources for their AI/ML tasks

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$2.66/hour
Free Version
Free Trial

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:

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Nebius
Founded: 2022
Netherlands
nebius.ai/

Alternatives

OpenVINO

OpenVINO

Intel

Alternatives

Categories

Categories

Integrations

CUDA
Kimi K2
Kimi K2.6
Kimi K2.7 Code
Kimi K3
MATLAB
NVIDIA AI Enterprise
NVIDIA Broadcast
NVIDIA DRIVE
NVIDIA DeepStream SDK
NVIDIA Jetson
NVIDIA Merlin
NVIDIA virtual GPU
Python
RankGPT
RankLLM
Rosepetal AI
Shadeform
TensorFlow
Ultralytics

Integrations

CUDA
Kimi K2
Kimi K2.6
Kimi K2.7 Code
Kimi K3
MATLAB
NVIDIA AI Enterprise
NVIDIA Broadcast
NVIDIA DRIVE
NVIDIA DeepStream SDK
NVIDIA Jetson
NVIDIA Merlin
NVIDIA virtual GPU
Python
RankGPT
RankLLM
Rosepetal AI
Shadeform
TensorFlow
Ultralytics
Claim NVIDIA TensorRT and update features and information
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