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Llama-3.3-70B

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Information

Llama-3.3-70B is a high performance language model with 70 billion parameters for local use by Ollama. The model requires powerful computing resources with at least 53 GB of video memory (NVIDIA A100/H100 or multiple consumer GPUs). Deployment on Ubuntu 22.04 supports distributed computing and integration with the Open Web UI for full data control and performance optimization.

Key Features of Llama-3.3-70B

  • High performance architecture: The model has 70 billion parameters and is optimized to process complex tasks with unparalleled accuracy using advanced distributed computing technologies;
  • Integration with Open Web UI: Modern web interface available via port 8080, providing complete control over data, computing resources and processing workflows;
  • Distributed Computing: Advanced support for multi-card configurations with automatic load balancing across multiple GPUs;
  • Scalability: Ability to scale horizontally by adding additional GPUs to increase performance;
  • Performance: Use of LLAMA_FLASH_ATTENTION technology to optimize computation and accelerate request processing;
  • Fault Tolerance: Automatic service recovery system ensures continuous operation in the event of failures.
  • 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
253 Ubuntu 22.04 - - + + 4 64 - 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;
  • Distributed computing configuration for multi-card systems;
  • System state monitoring, including GPU temperature and performance;
  • Optimization of parallel operation for multiple graphics accelerators;
  • All computation and data processing occurs locally on the server. Administrators can configure LLM for specific tasks through OpenWebUI tools.

System Requirements and Technical Specifications

  • GPUs (one of the following):
    • 2x NVIDIA A100 (48 GB video memory each)
    • 1x NVIDIA H100
    • 3x NVIDIA RTX 4090 (24 GB video memory each)
    • 3x AMD RX 7900 (24 GB video memory each)
    • 3x NVIDIA A5000 (24 GB video memory each)
  • Disk Space: SSD with sufficient capacity for system and model;
  • Software: NVIDIA drivers and CUDA;
  • Video Memory Consumption: 53 GB with 2K token context;
  • System Monitoring: Comprehensive checking of driver status, containers, and GPU temperature.

Getting Started with Your Deployed Llama-3.3-70B

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://llama<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 Llama-3.3-70B 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.