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Description

NVIDIA NeMo Megatron serves as a comprehensive framework designed for the training and deployment of large language models (LLMs) that can range from billions to trillions of parameters. As a integral component of the NVIDIA AI platform, it provides a streamlined, efficient, and cost-effective solution in a containerized format for constructing and deploying LLMs. Tailored for enterprise application development, the framework leverages cutting-edge technologies stemming from NVIDIA research and offers a complete workflow that automates distributed data processing, facilitates the training of large-scale custom models like GPT-3, T5, and multilingual T5 (mT5), and supports model deployment for large-scale inference. The process of utilizing LLMs becomes straightforward with the availability of validated recipes and predefined configurations that streamline both training and inference. Additionally, the hyperparameter optimization tool simplifies the customization of models by automatically exploring the optimal hyperparameter configurations, enhancing performance for training and inference across various distributed GPU cluster setups. This approach not only saves time but also ensures that users can achieve superior results with minimal effort.

Description

The Nemotron-3 Super is an innovative member of NVIDIA's Nemotron 3 series of open models, specifically crafted to facilitate sophisticated agentic AI systems that can effectively reason, plan, and carry out multi-step workflows in intricate environments. This model features a unique hybrid Mamba-Transformer Mixture-of-Experts architecture that merges the streamlined efficiency of Mamba layers with the contextual depth provided by transformer attention mechanisms, which allows it to adeptly manage extended sequences and intricate reasoning tasks with impressive accuracy and throughput. By activating only a portion of its parameters for each token, this architecture significantly enhances computational efficiency while preserving robust reasoning capabilities, making it ideal for scalable inference under heavy workloads. The Nemotron-3 Super comprises approximately 120 billion parameters, with around 12 billion being active during inference, which substantially boosts its ability to handle multi-step reasoning and collaborative interactions among agents within extensive contexts. Such advancements make it a powerful tool for tackling diverse challenges in AI applications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon SageMaker Model Training
NVIDIA BioNeMo
Nemotron 3
Perplexity Computer
Perplexity Pro
Together AI

Integrations

Amazon SageMaker Model Training
NVIDIA BioNeMo
Nemotron 3
Perplexity Computer
Perplexity Pro
Together AI

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

developer.nvidia.com/nemo/megatron

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

nvidia.com

Product Features

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