High-VRAM builds for local LLMs, Stable Diffusion, model training and inference.
32GB VRAM on the RTX 5090 handles large local AI models and 8K rendering/editing workloads.
Flagship Core Ultra 9 and RTX 5090 combo built for serious local AI training and heavy 3D rendering.
96GB RAM and a 32GB GPU are built for large-scale AI training, 8K editing and heavy rendering.
16 X3D cores, 128GB RAM and a 32GB flagship GPU -- the strongest Ryzen build we offer, for AI training and rendering at the largest scale.
The most affordable real entry into local AI work -- 12GB VRAM runs 7B-13B local LLMs and Stable Diffusion comfortably. Move up to Pro/Flagship tiers for larger models and faster training.
A 13th-gen i9 and 16GB GPU handle demanding dev workloads and entry ML experimentation.
16-core 7950X3D and 64GB RAM power serious rendering, AI experimentation and 4K editing.
12-core 9900X3D and 16GB VRAM handle serious 3D rendering, AI inference and archviz.
Threadripper's massive core count and ECC RAM are built for scientific and engineering simulation workloads at the highest level.
64GB RAM and a 16GB GPU handle real-time archviz rendering and AI experimentation together.
Latest-gen Arrow Lake flagship performance for 4K gaming with strong rendering headroom.
24GB VRAM on the RTX 4090 is a proven, powerful choice for 8K editing and GPU rendering.
12 AM4 cores and 64GB RAM handle serious rendering and local AI experimentation at a real discount versus AM5.
The last word in AM4 -- 16 cores and 64GB RAM for engineering simulation and rendering at a fraction of AM5 flagship cost.
16 full-power AM5 cores (no X3D trade-off) for the heaviest simulation, AI training and rendering workloads.
The newest X3D refresh paired with the RTX 5090 -- as far as gaming-plus-creation hybrids currently go.
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