If you've ever wondered what happens when you drop a GPU into your NAS and run AI like private ChatGPT? storage review has a surprising answer.
His project is based in Jordan Ranous used QNAP's TS-h1290FX, a 12 NVMe NAS equipped with an AMD EPYC 7302P CPU and boasting 256GB DRAM, 25GbE connectivity, and numerous PCI slots. He chose his NAS because it supports internal GPU and can host up to 737 TB of his raw storage.
By adding an Nvidia RTX A4000 GPU to the TS-h1290FX and configuring it for AI using Virtualization Station (the NAS's hypervisor), Ranous can now run AI workflows seamlessly.
Nvidia and RTX chat
Nvidia's ChatRTX software package cleaned up the AI interaction side by providing a customized experience through GPT-based LLM with local, unique datasets. This allows us to respond quickly to situations while maintaining privacy and security.
storage review Before configuring GPU passthrough, installing GPU drivers on VMs, and validating passthrough functionality, learn about the process including checking hardware compatibility, installing GPUs, updating QNAP firmware and software, and installing OS on VMs. I explained it in detail.
The ease of setting up GPU for AI on QNAP NAS proves that QNAP NAS can serve as a cost-effective and efficient solution for enterprises looking to harness the power of AI doing. Ranous said: “We found it relatively easy and inexpensive to add a suitable GPU to a QNAP NAS. We ran the A4000, which retails for about $1050, but comes with free Virtualization Station. Not bad considering NVIDIA ChatRTX is available for free.
