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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.

What is Gemma 4?

Gemma 4 is a modern AI model introduced by Google and built on the Gemini architecture to provide enhanced performance and flexibility for developers and researchers. The model is designed to run efficiently on a single GPU or TPU, which makes powerful AI capabilities more accessible without requiring large-scale infrastructure. Gemma 4 focuses heavily on improving natural language understanding and text generation, enabling it to support a wide range of AI-powered applications. These capabilities allow developers to build systems such as conversational assistants, intelligent search tools, and automated content generation platforms. The architecture behind Gemma 4 enables the model to process language with greater accuracy while maintaining efficient computational requirements. This balance between performance and efficiency allows developers to experiment with advanced AI features without the need for extremely large computing environments. Gemma 4 is designed to be scalable so it can support both small development projects and larger enterprise applications. Researchers can also use the model to explore new approaches to machine learning and language processing. The model’s ability to run on widely available hardware makes it practical for organizations that want to integrate AI into their workflows. By combining strong language capabilities with efficient deployment requirements, Gemma 4 helps broaden access to advanced AI technology. Its design reflects a growing focus on creating models that are both powerful and practical for real-world use. As a result, Gemma 4 supports the continued expansion of AI applications across industries and research fields.

Media

Media

No images available

Integrations Supported

Hermes Agent
Hugging Face
Ollama
OpenCode
Agent Client Protocol (ACP)
BLACKBOX AI
Clearview Elite
Cline
Gemini Enterprise Agent Platform
HTML
IntelliJ IDEA
Java
JavaScript
Kaggle
Nebius Token Factory
OpenAI Codex
Roo Code
Rust
Scala
Zed

Integrations Supported

Hermes Agent
Hugging Face
Ollama
OpenCode
Agent Client Protocol (ACP)
BLACKBOX AI
Clearview Elite
Cline
Gemini Enterprise Agent Platform
HTML
IntelliJ IDEA
Java
JavaScript
Kaggle
Nebius Token Factory
OpenAI Codex
Roo Code
Rust
Scala
Zed

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

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

Poolside

Date Founded

2023

Company Location

United States

Company Website

www.poolside.ai/models

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

deepmind.google/models/gemma/

Categories and Features

Categories and Features

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