NVIDIA MerlinNVIDIA
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NVIDIA TensorRTNVIDIA
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Related Products
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About
NVIDIA Merlin empowers data scientists, machine learning engineers, and researchers to build high-performing recommenders at scale. Merlin includes libraries, methods, and tools that streamline the building of recommenders by addressing common preprocessing, feature engineering, training, inference, and deploying to production challenges. Merlin components and capabilities are optimized to support the retrieval, filtering, scoring, and ordering of hundreds of terabytes of data, all accessible through easy-to-use APIs. With Merlin, better predictions, increased click-through rates, and faster deployment to production are within reach. NVIDIA Merlin, as part of NVIDIA AI, advances our commitment to supporting innovative practitioners doing their best work. As an end-to-end solution, NVIDIA Merlin components are designed to be interoperable within existing recommender workflows that utilize data science, and machine learning (ML).
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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.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Data scientists wanting an open-source framework for building high-performing recommender systems
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Audience
Machine learning engineers and data scientists seeking a tool to optimize their deep learning operations
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Company InformationNVIDIA
United States
developer.nvidia.com/merlin
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Company InformationNVIDIA
Founded: 1993
United States
developer.nvidia.com/tensorrt
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Categories |
Categories |
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Integrations
Dataoorts GPU Cloud
Not Supported
Hugging Face
Not Supported
Kimi K2
Not Supported
Kimi K2.6
Not Supported
Kimi K2.7 Code
Not Supported
Kimi K3
Not Supported
MATLAB
Not Supported
NVIDIA AI Enterprise
Not Supported
NVIDIA Clara
Not Supported
NVIDIA DRIVE
Not Supported
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Integrations
Dataoorts GPU Cloud
Supported
Hugging Face
Supported
Kimi K2
Supported
Kimi K2.6
Supported
Kimi K2.7 Code
Supported
Kimi K3
Supported
MATLAB
Supported
NVIDIA AI Enterprise
Supported
NVIDIA Clara
Supported
NVIDIA DRIVE
Supported
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