Peter Jang
June 3, 2025 05:40
The NVIDIA AIR now supports an external file upload for creating an expandable network topology, improving the simulation function of data centers and large networks.
NVIDIA AIR is innovating network simulation by creating an expandable custom network topology using an external file upload. According to the NVIDIA Developer Blog, this innovation can simulate everything from small networks to entire data center.
Network topology understanding
The network topology represents the structural layout of the network that includes both the physical arrangement of the device and the logical data flow. To effectively configure the network of NVIDIA AIR, you need to consider a variety of factors such as operating system, storage, RAM allocation, server name specification and connection.
Expansion and reuse
Adopting an external file upload to NVIDIA AIR greatly improves the scalability. The user can quickly create a number of nodes by creating, editing and uploading files to the platform. This approach is especially advantageous for large networks, reducing manual errors and simplifying the simulation of complex data centers.
Promotion of collaboration and automation
External files can be easily shared and collaborated, allowing users to store and reuse the topology. For efficient changes, you can integrate with version control systems such as GIT. This file also serves as a cornerstone for automation in NVIDIA AIR that supports continuous integration and continuous distribution (CI/CD) pipelines through NVIDIA Air API or SDK.
Actual application and start
The actual application of this feature includes the ability to simulate large -scale networks easily and efficiently. The user can use a text editor to create an external topology file and upload and modify these files within the platform along the instructions of the NVIDIA. Drag & drop editor can be used for further adjustments after the hood.
For those who are interested in exploring NVIDIA AIR, the platform provides an example with a topology file and a demo marketplace with a Gitlab repository. These resources provide valuable insights in building custom network topology and understanding the simulation function of NVIDIA AIR.
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