We are entering a new era

At BOT4.AI we care about reliability, scalability of our solutions, high performance and customisation for our users. In cooperation with Supermicro, our team is able to make such decisions, are you interested? hello@bot4.ai
We provide you with thorough testing and quality control so you can rest assured that downtime or problems will not affect your business. Scalability is our middle name, so you can easily add resources as your business grows. And our exceptional performance is achieved by using the latest technology and hardware. We can even customise your servers to your specific needs, optimising them for specific applications and services. Not to mention the excellent support and availability of the powerful IPMI remote management tool, which makes Supermicro the preferred choice for many of our solutions.

If you’ve already purchased a Supermicro SYS-821GE-TNHR and want to set up AI yourself, we’re here to help!
To run artificial intelligence (AI) on a Supermicro SYS-821GE-TNHR system, there are a few key steps to follow:
1 Prepare the hardware:

• Make sure the system meets the requirements: The Supermicro SYS-821GE-TNHR is designed for use with powerful graphics processing units (GPUs) and can support up to 10 GPUs on a single server. Make sure you have all the necessary components installed, including sufficient memory and storage drives.
• Install and configure the GPUs: Check that all GPUs are properly installed and running. You can do this by using utilities such as nvidia-smi to check the status of the GPU.
  2 Install the operating system:
• Choose an operating system: Linux-based operating systems such as Ubuntu or CentOS are commonly used for AI.
• Install the GPU drivers: After installing the operating system, you need to install the drivers for your GPUs. For NVIDIA GPUs, this can be done using NVIDIA packages.
  3 Install the AI libraries and tools:
• Install CUDA and cuDNN: These libraries are required to work with GPUs. You can download them from the NVIDIA website and install them by following the instructions.
• Install AI frameworks: The most popular AI frameworks include TensorFlow, PyTorch and others. These can be installed using the pip package manager.
  4 Setting up the development environment:
• Create a virtual environment: This helps you to isolate your project’s dependencies. For example, you can use virtualenv to create a virtual environment.
• Install the required packages: Install all the necessary libraries and tools for your project. These can be data libraries such as pandas and numpy, or AI-specific tools.
  5 Tuning for performance:
• Configure parallel computing: Make sure your AI tasks can efficiently use parallel computing on all available GPUs.
• Performance monitoring: Use monitoring tools to track resource usage and optimise your code.
  6 Deploy and test an AI model:
• Model development and training: Write and train your AI model using your chosen framework.
• Testing and debugging: Test your model on test data, debug and optimise performance.
  7 Support and updates:
• Regular updates: Keep your system up to date with driver and library updates.
• Data Backup: Back up your data and models regularly.
  By following these steps, you should be able to get your AI system up and running on your Supermicro SYS-821GE-TNHR server.

Didn’t make it? Let us help you! info@bot4.ai