Cloudzat GPU & Local AI Hardware Intelligence
A local AI workstation should be sized around the models and workflows you intend to run, not around gaming benchmarks alone. This builder estimates model memory, context overhead, concurrent use, system RAM, storage, power and a practical GPU class.
Build your local AI workstation
Results stay hidden until you click the button.
Start with the workload
Text generation, image generation and video generation stress hardware differently. Text models are often limited by VRAM capacity and memory bandwidth, while image and video workflows can also depend heavily on CUDA support and optimized application pipelines.
VRAM is the hard limit
A card can be fast yet unsuitable when the model, context cache and runtime workspace do not fit. CPU offloading can make a model run, but it usually reduces responsiveness and can require much more system memory.
Plan the whole workstation
The graphics card determines much of the build, but power supply capacity, case clearance, cooling, system RAM and fast SSD storage must also be sized correctly. Multi-GPU systems add slot, airflow and software constraints.
Use estimates as a planning range
Quantization formats and runtimes do not use identical memory. The builder shows minimum and comfortable ranges so you can avoid buying a configuration that works only under ideal conditions.
Current GPU catalogue
Current Amazon offers identified by exact GPU model. Use the calculator above for workload-specific ranking.
| GPU offer | VRAM | Stack | Power | Condition | Price | Price/GB | |
|---|---|---|---|---|---|---|---|
 Intel Arc B580TFGAJKKKKK Intel Arc B Series Intel Arc B580 Limited Edition Graphics Video Card |
12GB GDDR6 |
oneAPI / DirectML | 190W 600W PSU |
New | Price Options | — | Buy on Amazon |
 Intel Arc B580WEELIAO Intel Arc B580 Limited Edition Graphics Card Black GDDR6 2670MHz Dual Fan Video Card (192-bit, PCI-Express 4.0 x8, One HDMI Three DisplayPorts, Supports 4k) |
12GB GDDR6 |
oneAPI / DirectML | 190W 600W PSU |
New | Price Options | — | Buy on Amazon |
 Radeon RX 7800 XTSapphire 11330-02-20G Pulse AMD Radeon RX 7800 XT Gaming Graphics Card with 16GB GDDR6, AMD RDNA 3 |
16GB GDDR6 |
ROCm / DirectML | 263W 700W PSU |
New | Price Options | — | Buy on Amazon |
 Radeon RX 7800 XTGIGABYTE Radeon RX 7800 XT Gaming OC 16GB Graphics Card - 16GB GDDR6 256-bit, Windforce Cooling System, Metal Back Plate, DP 2.1, HDMI 2.1, AMD RDNA 3 Architecture, GV-R78XTGAMING OC-16GD |
16GB GDDR6 |
ROCm / DirectML | 263W 700W PSU |
New | Price Options | — | Buy on Amazon |
 Radeon RX 7800 XTXFX Quicksilver AMD Radeon RX 7800 XT Magnetic Air Gaming Graphics Card with 16GB GDDR6, RDNA3 RX-78TMAIRW9 |
16GB GDDR6 |
ROCm / DirectML | 263W 700W PSU |
New | Price Options | — | Buy on Amazon |
 Radeon RX 7800 XTSapphire 11330-01-20G Nitro+ AMD Radeon RX 7800 XT Gaming Graphics Card with 16GB GDDR6, AMD RDNA 3 |
16GB GDDR6 |
ROCm / DirectML | 263W 700W PSU |
New | Price Options | — | Buy on Amazon |
 Radeon RX 7800 XTPowerColor Fighter AMD Radeon RX 7800 XT 16GB GDDR6 Graphics Card |
16GB GDDR6 |
ROCm / DirectML | 263W 700W PSU |
New | Price Options | — | Buy on Amazon |
 Radeon RX 7800 XTPowerColor Twin Fan AMD Radeon RX 7800 XT 16GB GDDR6 |
16GB GDDR6 |
ROCm / DirectML | 263W 700W PSU |
New | Price Options | — | Buy on Amazon |
Amazon prices and images are refreshed on a 24-hour cycle when available. A matching listing without a current featured numeric price is shown as Price Options; check Amazon for the current offer.
Frequently asked questions
How much system RAM should a local AI PC have?
A practical starting point is at least twice the model size that may be offloaded, with 64GB or 128GB common for larger local models and multi-application workflows.
Is a gaming GPU suitable for local AI?
Yes. Gaming GPUs can offer strong local inference value, but VRAM capacity, software support, power draw and physical size matter more than gaming frame rates.
Can two GPUs combine their VRAM?
Some runtimes can split a model across multiple GPUs, but VRAM is not automatically pooled for every application. Software support and inter-GPU transfer overhead must be checked.