Images are for reference only. Refer to the linked store for actual product images.A six-core AM5 starting point with DDR5 memory. Review today’s prices and your applications before buying. Images are for reference only. Refer to the linked store for actual product images.
Explore cloud use, local language models and image generation with the parts you selected. Memory estimates are not speed benchmarks.
A larger local GPU is not required just to chat with a cloud model or request cloud-generated images. Check the service account, availability in your region, internet connection and supported browser or client.
Local editing, 3D work and running several apps still use your PC’s resources. This does not guarantee a service’s response time.
How cloud inference worksCheck the exact GPU, driver and CUDA support in your chosen application.
Image size, batch size, model components and extra nodes change memory use. CPU offloading can reduce VRAM demand but may be slow. Video generation, training and fine-tuning require separate assessments.
ComfyUI hardware requirementsModel memory and offloadingChange the assumptions to explore the memory tradeoff. These are model sizes, not recommendations for a specific model.
Theoretical weight storage only: 3.7 GiB · 8B / 4-bit
Actual use is higher: quantization metadata, unquantized tensors, KV cache, compute buffers and the runtime also need memory. Total installed memory is not the same as free memory.
| Parameters | Weight lower bound | Compared with selected VRAM |
|---|---|---|
| 3B | 1.4 GiB | Weights only; overhead not included |
| 8B | 3.7 GiB | Weights only; overhead not included |
| 14B | 6.5 GiB | Weights only; overhead not included |
| 32B | 14.9 GiB | Not enough for weights alone |
| 70B | 32.6 GiB | Not enough for weights alone |
Weight lower bound = total parameters × bits ÷ 8. B means one billion parameters; GiB means 2³⁰ bytes. All parameters are counted, including inactive experts in a mixture-of-experts model. Nominal catalog RAM and VRAM capacities are used as GiB for this planning comparison.
Shared system memory is not added to dedicated VRAM. RAM kit capacity is counted once. Already-owned parts still count as installed hardware. No throughput or “smooth performance” claim is made.
After assembly, use the actual model file and context setting with the runtime’s resource estimator, then measure response speed and memory use in your workload.
LM Studio resource estimationWeight estimates · Context and memory · GPU runtime support · Application requirements
Selected GPU manufacturer specifications · 2026-09-09
AI documentation checked: 2026-09-19An older-generation AM5 and RTX 4060 configuration kept as an alternative for local price comparison or reuse of already-owned parts.
The Ryzen 5 7600 and B650 board provide AM5, while the exact RTX 4060 card supplies discrete graphics. Compare the older GPU's actual local price and game behavior with the newer alternatives in the library.
The 32 GB DDR5 kit is paired with a 1 TB 990 PRO. A premium SSD model name does not answer whether 1 TB is sufficient for your files and applications.
The AK400, 4000D AIRFLOW and A650BN keep the build on conventional tower air cooling and a selected 650 W PSU.
Compare a larger SSD against a GPU replacement using the symptom you want to fix. Reuse compatible parts when doing so helps the actual total, but recheck power and physical fit for any changed card.
This is an editorial parts-list explanation. The planning target is not a current retailer total, and this configuration has not been benchmarked by RigAtlas.