Images are for reference only. Refer to the linked store for actual product images.A dual-cache 16-core CPU, 32 GB GeForce GPU and 96 GB DDR5 for demanding mixed workloads. A large chassis and 420 mm AIO are selected; check radiator position and memory QVL. High-end stock and pricing may push the purchase total well above this target. This USD budget is an illustrative planning target, not a verified parts total or a retailer quote. Check current local prices, BIOS support and mounting clearances. Images are for reference only. Refer to the linked store for actual product images. MSI X870 Tomahawk is listed by ARCTIC for pump clearance; confirm exact CPU BIOS support separately.
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 | Weights only; overhead not included |
| 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 · 2026-09-10
AI documentation checked: 2026-09-19A large, high-capacity enthusiast configuration combining Ryzen 9 9950X3D2 Dual Edition, a 32 GB RTX 5090 and 96 GB system memory. It requires careful workload justification and installation planning.
The CPU and GPU are separate high-end choices, not a guarantee of proportionate benefit in ordinary applications. Confirm that your workload uses the extra compute and memory resources.
The 96 GB memory kit and 4 TB 9100 PRO expand capacity and storage capability. Verify the exact kit, firmware, M.2 connection and heatsink requirements rather than relying on capacity labels.
The 420 mm Liquid Freezer III Pro, 7000D AIRFLOW and 1200 W Straight Power 12 make physical installation and cabling major parts of the plan. Read the exact radiator and motherboard pump-clearance guidance.
Validate the current workload before adding still more hardware. External backup, application workflow and display requirements can be more relevant than another specification increase. Record real project results instead of treating the flagship label as evidence.
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.