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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 GPUonCLOUD?

Previously, completing tasks like deep learning, 3D modeling, simulations, distributed analytics, and molecular modeling could take days or even weeks. However, with GPUonCLOUD's specialized GPU servers, these tasks can now be finished in just a few hours. Users have the option to select from a variety of pre-configured systems or ready-to-use instances that come equipped with GPUs compatible with popular deep learning frameworks such as TensorFlow, PyTorch, MXNet, and TensorRT, as well as libraries like OpenCV for real-time computer vision, all of which enhance the AI/ML model-building process. Among the broad range of GPUs offered, some servers excel particularly in handling graphics-intensive applications and multiplayer gaming experiences. Moreover, the introduction of instant jumpstart frameworks significantly accelerates the AI/ML environment's speed and adaptability while ensuring comprehensive management of the entire lifecycle. This remarkable progression not only enhances workflow efficiency but also allows users to push the boundaries of innovation more rapidly than ever before. As a result, both beginners and seasoned professionals can harness the power of advanced technology to achieve their goals with remarkable ease.

Media

Media

Integrations Supported

PyTorch
TensorFlow
CUDA
Dataoorts GPU Cloud
Kimi K2
MATLAB
MXNet
NVIDIA AI Enterprise
NVIDIA Broadcast
NVIDIA Clara
NVIDIA DeepStream SDK
NVIDIA Merlin
NVIDIA Morpheus
NVIDIA NIM
NVIDIA Riva Studio
Python
RankGPT
RankLLM
Rosepetal AI
Ultralytics

Integrations Supported

PyTorch
TensorFlow
CUDA
Dataoorts GPU Cloud
Kimi K2
MATLAB
MXNet
NVIDIA AI Enterprise
NVIDIA Broadcast
NVIDIA Clara
NVIDIA DeepStream SDK
NVIDIA Merlin
NVIDIA Morpheus
NVIDIA NIM
NVIDIA Riva Studio
Python
RankGPT
RankLLM
Rosepetal AI
Ultralytics

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$1 per hour
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

GPUonCLOUD

Company Location

India

Company Website

gpuoncloud.com/gpu-as-a-service/

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