Is the GTX 1650 enough for AI work?

For small models, inference on modest datasets and CUDA learning, yes. Its 4GB of VRAM and lack of tensor cores rule out training large models or running big language models locally.

Can I install my own operating system and drivers?

It is a dedicated bare-metal server, so you control the OS and the Nvidia driver stack. You install and maintain the GPU drivers yourself rather than relying on a managed platform.

How does it compare with hourly cloud GPU instances?

You get a fixed always-on machine with full root access instead of per-hour billing and shared hardware. The trade-off is an older GPU and CPU than the newer cards rented by the hour.

What is the network speed?

The port runs from 100Mbps up to 1Gbps, and one dedicated IP is included. Confirm the exact port speed for your plan before you rely on it for heavy transfers.

What storage does it include?

It ships with a 120GB drive plus a 960GB SSD. The 960GB SSD is the practical place for datasets and game files; the 120GB drive is best kept for the OS.