Download - Performance Engineering Platform - Fixstars AIBooster

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Cloud version
On-premise version

Please fill out the required fields in the request form on the right. A representative will contact you within one business day.
In addition to logging into the AIBooster website and configuring various settings, you also need to install the AIBooster Agent (a Linux application) on the GPU server that you want to manage.
The Linux distribution that Fixstars has confirmed to work is Ubuntu 22.04 LTS.
Please see this page for the system configuration.
For users on the Starter plan (free to use), performance data is retained for a limited period of one month. The Performance Intelligence (PI) features are free for the first month of use, and then become a paid service.
At Fixstars, we do not view customer-specific data, such as application information or analysis results from the PO, unless requested by the customer.

Please fill out the required fields in the request form on the right. A representative will contact you within one business day.
For installation instructions, please refer to the installation guide provided in the email or the Quick Start Guide.
Fixstars AIBooster is a Linux application and requires a GPU server running Linux OS. Currently, Ubuntu 22.04 LTS is the officially supported and tested Linux distribution.
Please see this page for the system configuration.
Fixstars AIBooster is available for free use. However, features related to Performance Intelligence (PI) are offered free of charge only for the first month of usage, after which they become a paid service. For detailed terms and conditions, please refer to the Fixstars AIBooster End User License Agreement (EULA).

Software Configuration

AIBooster consists of two main components:

AIBooster Agent
The Agent is a Linux application that you install on the GPU compute nodes you manage. It collects performance data from each node and sends it to the Server. It doesn't matter whether the compute nodes are on the cloud or on-premises.

AIBooster Server
The Server stores the received data and provides a dashboard for easy data visualization. By simply accessing the dashboard from your browser, you can monitor the performance of each compute node.

There are two ways to use the AIBooster Server:

Cloud-based Server
You can use the AIBooster Server managed by us on the cloud.
No installation is required, so you can start using it immediately. We provide a dedicated login page for each customer.
On-premises Server
You can also install and run the AIBooster Server on a Linux server in your own on-premises environment.
Please contact us for more details.

AIBooster supports multi-cloud environments and server clusters distributed across multiple locations. From a single dashboard, you can view the status of your entire system, detailed information for each node, and even detailed information for each compute job.

Software Configuration Example

When using the AIBooster Server provided by Fixstars on the cloud:
Ideal for those who want to get started easily and immediately.
When using the AIBooster Server in your own on-premises environment:
Ideal for those who cannot use external services due to security reasons.

This option is for those who want to get started easily and immediately, without needing to install a management server.

You will install the AIBooster Agent on each GPU compute node.
The management dashboard is provided as a web application on the cloud, managed by Fixstars.
To begin, you will create an account and enter your user information on the management screen. A dedicated URL will be issued for you to access the dashboard through your browser.

This option is for those who need to build everything on-premises and cannot use external services for security reasons.

You will designate one management node and install the AIBooster Server on it, and then install the AIBooster Agent on each GPU compute node.
From your personal computer, you can view the dashboard provided by the management node through a browser via TCP port 3000.
This is the recommended configuration for most GPU cluster server systems.