GPU VRAM
For local LLMs and generation, VRAM size matters: the model needs to fit (or offload). A gaming card with little VRAM can still hit high FPS — and struggle with larger local models.
Look at GB of VRAM, not only “gaming” marketing.
Local LLMs, image generation and model work lean on VRAM, RAM capacity, cooling and fast SSD — not “max FPS”. Below: an honest explainer and four build slots .
A gaming PC is tuned for frames per second. An AI PC is tuned to keep large models in GPU memory and run stably for hours. Related machines — not identical.
For local LLMs and generation, VRAM size matters: the model needs to fit (or offload). A gaming card with little VRAM can still hit high FPS — and struggle with larger local models.
Look at GB of VRAM, not only “gaming” marketing.
OS + context + layer offload + browser/IDE. 16 GB is often tight; comfortable local work usually starts at 32 GB+.
More RAM does not replace VRAM — different bottlenecks.
Inference and training heat the GPU for hours, unlike a short game session. You need real airflow, PSU headroom and quiet cooling.
A “quiet gaming” case with weak airflow often throttles under AI load.
Model weights are tens of GB each. A fast NVMe and dedicated space for models beats cramming everything onto a tiny system drive.
HDD for models is a bad idea: slow loads and swap pain.
Local: privacy, no per-token bill, offline. Cloud: easier start, but data leaves and cost scales with use. An AI PC makes sense when you actually run models on-site.
We do not promise “cheaper than ChatGPT” without checking your usage.
Software stacks (CUDA on NVIDIA, ROCm on AMD) decide what runs out of the box. We invent neither official “AI PC requirements” nor fake FPS for neural nets.
We match the build to your software and budget after a short chat.
Entry / Creator / Pro / Studio slots. Parts and prices are marked — fill before going live. Typically included: assembly, tests, Windows, build warranty (confirmed at order).
3,990 ₪
Starting local LLMs, learning, light inference
Price/VRAM balance without paying for gaming RGB extras.
5,436 ₪
Content, ComfyUI / generation, comfortable model chat
More VRAM and RAM for creative local pipelines.
8,683 ₪
Serious local inference, several projects in parallel
Headroom in memory and cooling for long loads.
13,825 ₪
Studio / lab: large models, long sessions, room to grow
Maximum headroom for models and upgrades without swapping the platform immediately.
| Build | Price | GPU | RAM | SSD | Best for |
|---|---|---|---|---|---|
| AI Entry VAL 2 AMD |
3,990 ₪ | ASUS RTX 5050 8GB | 16GB DDR4 3200 | SANDISK 1TB Optimus 5100 | Starting local LLMs, learning, light inference |
| AI Creator VAL 4 AMD |
5,436 ₪ | MSI RTX 5060 8GB | 16GB DDR5 5200 | SANDISK 1TB Optimus 5100 | Content, ComfyUI / generation, comfortable model chat |
| AI Pro VAL 6.2 AMD |
8,683 ₪ | ZOTAC RTX 5070 12GB | 32GB DDR5 6000 | SANDISK 1TB Optimus 5100 | Serious local inference, several projects in parallel |
| AI Studio VAL 9 AMD |
13,825 ₪ | Gigabyte RTX 5080 16GB | 32GB DDR5 6000 | Crucial P310 2TB | Studio / lab: large models, long sessions, room to grow |
We build in our Netanya workshop. 19 years with hardware.
Tell us which models/software you run — we size VRAM, RAM and disk without fluff.
Assembly, CPU/GPU stress, temps, Windows and drivers.
On the build — per order terms; on parts — per manufacturer.
Sometimes — if VRAM and RAM/cooling are enough. Often a purpose-built machine wastes less on pure gaming extras and puts more into memory for models.
Depends on model and quantization. Small models can live on 8 GB; larger ones need more. We do not invent official numbers — we discuss your scenario.
Many AI tools are smoother on NVIDIA (CUDA). AMD (ROCm) is improving, but check your stack. We will say honestly what will run.
Weights are large; keep the system disk free and use fast NVMe for model loads.
No. The prices match our ready-builds page and are confirmed by component availability at build time.
WhatsApp us with the models or apps you use and your budget — we reply with a concrete config, no invented FPS.
Pinhas Lavon 18, Netanya · 053-701-2069 · 19 years in repair & builds
Sun 9:00–19:00 (break 13:30–15:00) · Mon–Thu 10:00–19:00 (break 13:30–15:00) · Fri 9:00–14:00