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Run Flai algorithems locally

Self-Hosted

Run Flai algorithems locally

Designed for scalability, Flai is adept at handling extensive datasets through efficient batch processing. Proven to process areas equivalent to an entire country or state, spanning tens of thousands of square kilometers, Flai solution can be deployed on cloud environments or local workstations. Flai's architecture is optimized for swift and efficient point cloud classification.

 

For sustained engagement, we work closely with clients to find the optimal business model that fits seamlessly into their operations. This comprehensive package includes dedicated support from the Flai team, ensuring optimal setup and maximum productivity.

Benefits of self-hosted solution 

 

  ✔ Classification speed

  ✔ Configurable batch processing

  ✔ Reduced Administrative Overhead

  ✔ Discounts and Incentives

  ✔ Security mitigation

  ✔ Priority Service

Server

Get trial license

Contact us at support@flai.ai to get started with a 10-day trial license. You have the option to utilize the Flai self-hosted solution without any restrictions.

Technical requirements

  • Operating system: Ubuntu 20.x or greater (LTS);

  • CPU: min 8 cores; optimally 16 cores;

  • RAM: min 32 GB; optimally 64 GB;

  • GPU: Nvidia Graphic card with minimum 11 GB vRAM; optimally 16 GB vRAM;

  • Disk: SSD disk with at least 500 GB of free space

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Find more information about the requirements and installation process on Flai's Self-hosted documentation page.

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This comprehensive package includes dedicated support from the Flai team, ensuring optimal setup and maximum productivity. Custom AI models and retraining options are available, enhancing flexibility and ensuring a cost-effective, high-quality solution for point cloud classification. 

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