PC by software · TechCure India

AI PC for Stable Diffusion & Local LLMs

Run Stable Diffusion, ComfyUI and local language models on your own PC — VRAM decides what you can run.

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  • Compatibility-checked parts
  • 24-hour stress test
  • GST invoice · insured delivery

What matters most

  1. GPU VRAM — The most important spec: 12 GB for SD 1.5/SDXL basics, 16 GB comfortable, 24 GB+ for larger models.
  2. NVIDIA CUDA — Most AI tools are built for NVIDIA — we use RTX cards only.
  3. System RAM — About twice the VRAM so models load smoothly.
  4. Storage + PSU — Models are big (2 TB NVMe) and GPUs need a quality Gold PSU.

Recommended specifications

Good Better Best
GPU RTX 5060 Ti 16GB / 4060 Ti 16GB RTX 5070 Ti / 4080 16GB RTX 5090 32GB / NVIDIA DGX Spark
RAM 32 GB 64 GB 128 GB
Storage 1–2 TB NVMe 2 TB NVMe 4 TB NVMe
Budget ₹1.2L–₹1.6L ₹2L–₹3L ₹3.5L+

Budgets are approximate and change with market prices. The Smart PC Builder always uses today's in-stock parts.

Tips from our build team

  • For 70B-class models consider NVIDIA DGX Spark.
  • Linux or WSL2 works well for most AI tools.

Frequently asked questions

How much VRAM for Stable Diffusion?

8 GB runs basics; 12–16 GB is comfortable for SDXL and ComfyUI workflows.

Can I run ChatGPT-like models locally?

Yes — 16 GB VRAM runs many 7–14B models; bigger models need 24 GB+ or a DGX Spark.

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