AI desktops, compared.

How to compare AI desktops

AI desktops combine local compute, memory and storage in a machine you can manage yourself. This directory compares 30 specific systems and configurations, from compact mini PCs to larger AI workstations. Start with your software requirements, then use the table to compare the hardware and dated seller offers.

First, choose the model or application you want to run. Check its supported processor architecture, operating system and accelerator backend. NVIDIA CUDA, AMD-compatible runtimes, Intel graphics support and Apple Metal have different requirements. A machine with more memory is useful only if the software can use its hardware.

Memory and storage in AI desktops

Compare installed capacity rather than a family’s advertised maximum. Unified memory and integrated graphics use a shared pool, while a workstation with dedicated GPU memory has separate memory tiers. Do not add a shared GPU allocation to system RAM as if it were extra hardware. Also leave room for context, working buffers and the operating system.

Next, review storage. An SSD holds model files, datasets and checkpoints, but it does not replace GPU memory. Check the installed drive capacity, free expansion slots and supported interface. Barebone kits may require separate memory, storage and an operating-system license. Moreover, RAID can reduce usable capacity below the sum of the installed drives.

Compare prices with the exact configuration

Each AI desktops profile identifies the seller and the configuration behind its recorded price. Prices retain their original currency; the directory does not apply an exchange-rate conversion. Select one currency before sorting by price. A starting price, a confirmed configuration price and an unverified price have different meanings, so review the label alongside the amount.

Finally, open the seller listing to confirm stock, dispatch time, taxes, shipping and warranty coverage. An out-of-stock listing can still show a price, while a preorder may have a later delivery window. Undisclosed information stays marked for confirmation. Follow the manufacturer links on each profile to inspect the original specifications before purchasing.

For a cloud deployment instead of local hardware, explore the agent hosting comparison. For platform documentation, consult the official NVIDIA DGX Spark page. Use these sources to check compatibility and compare an appropriate local or hosted setup.