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What is NVIDIA Alpamayo 2 Super?

NVIDIA Alpamayo 2 Super emerges as an innovative open model specifically designed for robotaxis and autonomous vehicles, capable of navigating unique and complex driving situations while producing decisions that developers can thoroughly analyze, validate, and trust. Built on the principles of NVIDIA Cosmos 3 Super Reasoner and further enhanced through reinforcement learning techniques, it balances commercial viability with the capability to manage various tasks associated with autonomous driving. The model conducts an in-depth analysis of full-surround camera feeds, elegantly merging viewpoints from the front, sides, and rear to competently tackle lane changes, merges, unprotected turns, and intricate intersections. For every driving situation it encounters, it is equipped to generate a planned trajectory for the vehicle, a chain-of-causation that clarifies the decision-making pathway, meta-actions like yielding or stopping, and reasoning auto-labels intended for both training and validation, alongside visual question-answering outputs that are grounded in specific regions of the images. These interconnected outputs not only enhance the relationship between the model’s observations and the actions it executes but also significantly improve transparency in the autonomous decision-making process. Furthermore, this sophisticated functionality aids developers in fine-tuning and boosting the model's performance for practical applications in the real world, ensuring that it meets the rigorous demands of autonomous navigation. Thus, it represents a significant advancement in the field of autonomous driving technology.

What is Laguna M.1?

Laguna M.1 is recognized as Poolside's premier model for agentic coding, meticulously designed in-house to optimize software development processes. This sophisticated model incorporates 225 billion parameters and employs a Mixture of Experts architecture with 23 billion parameters activated, all trained on a colossal dataset of 30 trillion tokens using a network of 6,144 NVIDIA H200 GPUs. Poolside committed to developing Laguna M.1 from the ground up, utilizing proprietary data, a specialized training codebase, and an asynchronous on-policy reinforcement learning strategy within its agent framework, all specifically oriented towards agentic coding applications. The model's architecture is crafted to deliver top-tier performance within Poolside's coding agent, empowering it to adeptly reason through programming tasks, engage with an array of tools, modify code, run tests, and support extensive autonomous development sessions. Tailored for developers and teams facing complex coding obstacles, Laguna M.1 boasts enhanced capabilities in reasoning, understanding architecture, managing terminal actions, and executing multi-step processes, far exceeding the abilities of lighter models. Overall, its comprehensive feature set establishes it as an indispensable tool for professionals immersed in high-stakes software projects, making it a vital component in the landscape of agentic coding solutions.

Media

Media

Integrations Supported

Agent Client Protocol (ACP)
Claude Code
Cline
Hermes Agent
Hugging Face
IntelliJ IDEA
Kilo Code
Nous Portal
Ollama
OpenAI Codex
OpenClaw
OpenCode
OpenRouter
Poolside
Roo Code
Visual Studio
Visual Studio Code
Zed

Integrations Supported

Agent Client Protocol (ACP)
Claude Code
Cline
Hermes Agent
Hugging Face
IntelliJ IDEA
Kilo Code
Nous Portal
Ollama
OpenAI Codex
OpenClaw
OpenCode
OpenRouter
Poolside
Roo Code
Visual Studio
Visual Studio Code
Zed

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version
Free Trial Offered?

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

nvidia.com

Company Facts

Organization Name

Poolside

Date Founded

2023

Company Location

United States

Company Website

www.poolside.ai/models

Categories and Features

Categories and Features

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