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What is Nemotron 3 Ultra?

The Nemotron 3 Nano, a compact yet robust language model from NVIDIA's Nemotron 3 lineup, is specifically designed to excel in agentic reasoning, engaging dialogue, and programming tasks. Its cutting-edge Mixture-of-Experts Mamba-Transformer architecture selectively activates a specific subset of parameters for each token, allowing for quick inference times while maintaining high accuracy and reasoning skills. With an impressive total of around 31.6 billion parameters, including about 3.2 billion active ones (or 3.6 billion when including embeddings), this model outperforms its predecessor, the Nemotron 2 Nano, while demanding less computational power for every forward pass. It boasts the capability to handle long-context processing of up to one million tokens, enabling it to efficiently analyze lengthy documents, navigate complex workflows, and carry out detailed reasoning tasks in one go. Additionally, it is designed for high-throughput, real-time performance, making it particularly skilled in managing multi-turn dialogues, executing tool invocations, and handling agent-driven workflows that require sophisticated planning and reasoning. This adaptability renders the Nemotron 3 Nano a top-tier option for a wide range of applications that necessitate advanced cognitive functions and seamless interaction. Its ability to integrate these features sets a new standard in the landscape of language models.

What is Beam?

Beam marks the launch of Reflection’s first open-weight model, distinguished by its sparse Mixture-of-Experts architecture, which boasts an impressive 501 billion parameters, with 23 billion actively engaged, specifically designed for tasks related to coding, reasoning, and agentic functions. This model's capabilities stem from rigorous pretraining and reinforcement learning, built upon a massive dataset of 23.8 trillion diverse, high-quality tokens obtained from various sources, including the internet, public domains, and proprietary licenses. By focusing on optimizing coding and agentic functionalities, Beam aims to deliver competitive performance in the open-weight space while prioritizing efficient inference computation. It is proficient in managing a diverse range of tasks, such as complex software development, terminal commands, STEM-related activities, web searches, tool application, and general knowledge queries. Utilizing reinforcement learning methods enhances its proficiency in multi-step reasoning, effective tool use, and adaptability to environmental cues. Furthermore, users can customize the model's output by adjusting a reasoning effort parameter, allowing for a tailored balance between efficiency and performance to meet their individual requirements. In essence, Beam is not only a technological advancement but also a versatile tool that empowers users to navigate complex tasks with precision.

Media

Media

Integrations Supported

Nemotron 3
OpenTag

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

research.nvidia.com/labs/nemotron/Nemotron-3/

Company Facts

Organization Name

Reflection

Company Location

United States

Company Website

reflection.ai/blog/introducing-beam

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Models

Not specified

AI Reasoning Models

Not specified

Large Language Models

Not specified

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