AI PCs Singapore — Run Local LLMs, Stable Diffusion & ML from $950
High-VRAM builds ready for Ollama, Stable Diffusion, PyTorch and video AI workloads — plus 3D rendering and content creation. CUDA-ready NVIDIA GPUs, tested and warranted, at a fraction of new prices.
AI-Ready Builds — In Stock Now
For AI, VRAM is king. These builds are sorted by AI capability — from student experimentation to serious local-model workstations.
Entry AI Build — RTX 3070 Ti + 32GB RAM
Great for learning: runs 7B–8B LLMs, Stable Diffusion 1.5/SDXL, and ML coursework. 32GB system RAM handles bigger datasets.
| GPU | Zotac RTX 3070 Ti 8GB |
| CPU | Ryzen 5 5600X |
| RAM | 32GB DDR4 3200 |
| Storage | 512GB M.2 NVMe |
| PSU | Super Flower 750W Gold+ |
Creator Build — RX 7800 XT 16GB
16GB VRAM powerhouse for rendering, video editing and 4K gaming. Note: AMD GPU — best for creative work; NVIDIA recommended for CUDA-based AI.
| GPU | AMD RX 7800 XT 16GB |
| CPU | Ryzen 7 7800X |
| RAM | 16GB DDR4 3200 |
| Case | Phanteks Evolv S2 |
Alienware Aurora R13 — RTX 3080 Ti + 64GB DDR5
The workstation pick: 12GB VRAM runs 13B LLMs comfortably, and 64GB DDR5 + 16-core i9 chews through data pipelines and multitasking.
| GPU | RTX 3080 Ti 12GB |
| CPU | i9-12900KF (16C) |
| RAM | 64GB DDR5 |
| Storage | 512GB SSD + 2TB HDD |
| Cooling | Cryo-tech Liquid |
Tecware VX Prism — RTX 5070 + 32GB DDR5
Blackwell-generation GPU with the latest CUDA and DLSS 4 support — fast inference, great for AI image/video generation and modern frameworks.
| GPU | RTX 5070 12GB |
| CPU | Intel i7-14700F |
| RAM | 32GB DDR5 |
| PSU | 750W |
| Case | Tecware VX Prism M TG |
Aftershock — RTX 4070 Ti Super 16GB
Our best AI value: 16GB of CUDA VRAM runs larger local LLMs, SDXL/Flux image generation and fine-tuning experiments — plus elite 1440p/4K gaming.
| GPU | RTX 4070 Ti Super 16GB |
| CPU | Ryzen 7 7800X3D |
| RAM | 32GB DDR5 |
| Storage | 1TB NVMe SSD |
| Cooling | Corsair 240mm AIO |
What Can These Builds Actually Run?
Honest guidance — matched to VRAM, since that’s what decides your AI ceiling.
8GB VRAM (RTX 3070 Ti)
7B–8B LLMs (Llama, Mistral, Qwen), Stable Diffusion 1.5/SDXL, Whisper transcription, ML coursework.
12GB VRAM (3080 Ti / 5070)
13B LLMs, faster SDXL, AI video experiments, light fine-tuning with LoRA.
16GB VRAM (4070 Ti Super)
Larger quantised models (up to ~30B), Flux image generation, serious LoRA fine-tuning, RAG development.
Also Great For
Poly & uni students — Rhino 3D, KeyShot rendering, Adobe Suite, video editing and CAD all fly on these machines.
Not Sure Which AI Build You Need?
Tell us what you want to run — Ollama, ComfyUI, PyTorch, Premiere — and we’ll recommend the right VRAM tier for your budget.