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Gemma-2-27B

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Information

Gemma-2-27B is a powerful language model that requires significant computing resources for local deployment via the Ollama platform. This model has increased hardware requirements, especially in terms of GPU video memory. It is deployed on Ubuntu 22.04 using modern NVIDIA graphics accelerators. Integration with the Open Web UI provides a convenient interface for interacting with the model while maintaining full control over data and request processing.

Key Features of Gemma-2-27B

  • High performance architecture: The model has 27 billion parameters and is optimized to handle complex tasks with high accuracy using advanced technologies;
  • Integration with Open Web UI: Provides a modern web interface for convenient interaction with the model via port 8080, ensuring complete control over data and query processing;
  • Scalability: Supports multi-card configurations and the ability to load balance across multiple GPUs for optimal performance;
  • Security and control: Full local deployment ensures data confidentiality, while OLLAMA_HOST and OLLAMA_ORIGINS settings guarantee network security;
  • Performance: Use of LLAMA_FLASH_ATTENTION technology to accelerate request processing and optimize model operation;
  • Fault Tolerance: Built-in automatic container and service restart system ensures stable operation.
  • Use Cases:
    • Customer support: Automate responses to user questions;
    • Education: Create educational materials, help solve problems;
    • Marketing: Generate promotional copy, analyze reviews;
    • Software Development: Writing code and documentation.

Deployment Features

ID Compatible OS VM BM VGPU GPU Min CPU (Cores) Min RAM (Gb) Min HDD/SDD (Gb) Active
250 Ubuntu 22.04 - - + + 4 32 - Yes
  • Installation time 15-30 minutes including OS;
  • Ollama server downloads and runs LLM in memory;
  • Open WebUI is deployed as a web application connected to the Ollama server;
  • Users interact with LLM through the Open WebUI web interface, sending requests and receiving responses;
  • All computation and data processing is done locally on the server. Administrators can configure LLM for specific tasks using OpenWebUI tools.

System Requirements and Technical Specifications

  • GPUs (one of the following):
    • 2x NVIDIA A4000 (16/24 GB video memory each)
    • 1x NVIDIA A6000 (48 GB video memory)
    • 1x NVIDIA 5090 (32 GB video memory)
  • Disk Space: SSD with sufficient capacity for system and model;
  • Software: NVIDIA drivers and CUDA;
  • Video Memory Consumption: 28 GB with 2K token context;
  • System Monitoring: Automatic checking of drivers and containers.

Getting Started with Your Deployed Gemma-2-27B

Upon the completion of your order and payment process, a notification will be sent to the email address provided during registration, confirming that the server is ready for operation. This communication includes the VPS IP address and login credentials necessary for connection purposes. Our company's equipment management team utilizes our control panels for servers and APIs — specifically, Invapi.

Once you click the webpanel tag link, a login window will appear.

The access details for logging into Ollama's Open WebUI web interface are as follows:

  • Login URL for accessing the management panel with Open WebUI and a web interface: Via the webpanel tag. Specific address in the format https://gemma<Server_ID_from_Invapi>.hostkey.in as indicated in the confirmation email upon handover.

Following this link, you'll need to create an identifier (username) and password within Open WebUI for user authentication purposes.

Attention

Upon the registration of the first user, the system automatically assigns them an administrator role. To ensure security and control over the registration process, all subsequent registration requests must be approved by an administrator using their account credentials.

Note

A detailed description of working with the Ollama control panel with Open WebUI can be found in the article AI chatbot on your own server

Ordering a Server with Gemma-2-27B via API

To install this software using the API, follow these instructions.

Some of the content on this page was created or translated using AI.