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About

Train, deploy, and commercialize your neural machine translator with just a few clicks, no coding required. Upload your parallel data CSV file with a simple drag-and-drop interface. Fine-tune your model with advanced settings for optimal performance. Start training instantly with our powerful NVIDIA GPU infrastructure. Train models for a wide range of language pairs, including low-resource languages. Track training progress and performance metrics in real time. Easily integrate your trained model with our comprehensive API. Configure your model parameters and hyperparameters. Upload your parallel data CSV file to the dashboard. Review training metrics and BLEU scores. Use your deployed model via dashboard or API. Click "start training" and let our GPUs do the work. It's often beneficial to start with default values and then experiment with different configurations. Keep track of your experiments and their results to find the optimal settings for your specific translation task.

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.

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

Any user looking for a solution to build their own neural machine translator

Audience

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

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

No information available.
Free Version
Free Trial

Pricing

Free
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:

Review this Software

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

Gaia
Peru
gaia-ml.com

Company Information

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

Alternatives

Alternatives

OpenVINO

OpenVINO

Intel
Ludwig

Ludwig

Uber AI
NVIDIA NGC

NVIDIA NGC

NVIDIA

Categories

Categories

Integrations

CUDA
Dataoorts GPU Cloud
Hugging Face
Kimi K2
Kimi K2.6
Kimi K3
NVIDIA DRIVE
NVIDIA DeepStream SDK
NVIDIA GPU-Optimized AMI
NVIDIA Jetson
NVIDIA Morpheus
NVIDIA Riva Studio
NVIDIA virtual GPU
Python
RankGPT
RankLLM
Rosepetal AI
TensorFlow
Thunder Compute
Ultralytics

Integrations

CUDA
Dataoorts GPU Cloud
Hugging Face
Kimi K2
Kimi K2.6
Kimi K3
NVIDIA DRIVE
NVIDIA DeepStream SDK
NVIDIA GPU-Optimized AMI
NVIDIA Jetson
NVIDIA Morpheus
NVIDIA Riva Studio
NVIDIA virtual GPU
Python
RankGPT
RankLLM
Rosepetal AI
TensorFlow
Thunder Compute
Ultralytics
Claim Gaia and update features and information
Claim Gaia and update features and information
Claim NVIDIA TensorRT and update features and information
Claim NVIDIA TensorRT and update features and information