Images are for reference only. Refer to the linked store for actual product images.An eight-core 3D V-Cache CPU and a 12 GB graphics card, ready to adapt to your games and workload. Check thermal performance, BIOS support and current pricing. 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: 2026-09-19A Ryzen 7 7800X3D and RTX 4070 configuration retained for comparing an older X3D platform with newer complete baskets.
The X3D processor makes gaming CPU behavior part of the choice, while the 12 GB RTX 4070 has separate rendering and software limits. Use exact workload evidence for both.
The 32 GB DDR5 kit and 1 TB SSD keep capacity moderate. More CPU cache does not replace system memory or graphics memory when a project needs those resources.
The NH-D15 and 4000D AIRFLOW require a joint fan-height and memory-clearance check. Noctua's current height information differs from some older material, so identify the actual cooler and installed fan position.
If the cooler arrangement cannot be confirmed, choose a documented-fitting cooling alternative before ordering. For a performance upgrade, first measure the workload and compare a complete change rather than replacing the CPU by generation alone.
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.