i’m planning to build a PC mainly for gaming like Valorant and GTA FiveM. is the ryzen 7 5700 + rtx 5060 Ti a good combination? also, any recos for the other components/brands I should get? as much as possible, i’d like to keep the build under ₱100k since i’ll also be buying other peripherals. tyia!
So I’m looking to build my first PC. I have a 12,000kr budget I’m from Norway I have a 1440p monitor and already have a mouse and keyboard so I’m just looking for a good value gaming PC (or as good value as one can get in the RAMpocalypse).
Was looking at an Nvidia Spark, and when I heard that about a third of its price is just its connectors, I wondered if something better could be put together for a lower price
I gave a similar prompt to Google and Deepseek
>We want to run the latest top end open models (eg DeepSeek Flash V4), and train models up to 5bn params comfortably, 8-10bn at a push
>Super fast inference is not important. 5 tokens/sec is fine
>We do need to consider the physical properties of the resulting computer. No point having something that sounds like a jet engine, or works for a month before it overheats and breaks
and got the responses below
Google suggests:
The All-Rounder AI Workstation Blueprint (Inference + Scratch Training)
By blending 48GB of ultra-fast VRAM with 192GB of system RAM, this system splits into two distinct, high-end workflows.
| Component | Choice for Dual 3090 Setup | Estimated Cost | Why It Is Crucial |
|---|---|---|---|
| GPU 1 | NVIDIA RTX 3090 (24GB VRAM - Used/Refurbished) | £650 | Supplies massive, fast parallel pipelines needed to hold full training models. |
| GPU 2 | NVIDIA RTX 3090 (24GB VRAM - Used/Refurbished) | £650 | Combines with GPU 1 to hit 48GB VRAM. |
| System RAM | 192GB Corsair Vengeance DDR5 (4 x 48GB) | £500 | Retained strictly to load massive inference models (DeepSeek V4 Flash). |
| Processor | AMD Ryzen 9 9900X (12 Cores) | £350 | Handles heavy data pipelines and token calculations smoothly. |
| Motherboard | ASUS ProArt X670E-CREATOR WIFI | £420 | Upgraded: Specifically engineered for multi-GPU spacing and reliable x8/x8 lane allocation. |
| Power Supply | Corsair AX1600i (or Tier-A 1500W-1600W) | £320 | Upgraded: Two 3090s spike heavily in power. You need a massive unit to prevent shutdowns. |
| Storage | 4TB Crucial T500 NVMe M.2 SSD | £240 | Holds your training datasets alongside frontier inference models. |
| Case & Cooling | Fractal Design Torrent + Noctua NH-D15 | £220 | Upgraded: The absolute best airflow case on the market to prevent the stacked 3090s from choking. |
| Total Hardware | The Ultimate Cross-Discipline AI PC | ~£3,350 | Still roughly £650 cheaper than the Spark. |
Deepseek suggests:
Optimised for quiet operation, massive model inference, and 1-5B training (10B at a push)
| Component | Choice | Cost (£) | Why |
|---|---|---|---|
| GPU | NVIDIA RTX 3090 24GB (Used) | 650 | 24GB VRAM handles full fine-tuning up to 5B, QLoRA at 10B. CUDA mature, wide support. Single card keeps noise down. |
| CPU | AMD Ryzen 9 7950X (16 Cores) | 450 | AVX-512 accelerates CPU inference. 16 cores for data prep and token processing. |
| RAM | 256GB DDR5 (4 × 64GB) | 760 | The heart of the inference strategy. Holds 200B+ models at Q6-Q8 with generous context. Populated fully from day one. |
| Motherboard | ASUS ProArt X670E-CREATOR WIFI | 420 | x16 PCIe 5.0, 4 RAM slots (now full), robust VRMs, designed for sustained workstation loads. |
| Storage | 4TB WD Black SN850X NVMe | 240 | Fast model loading, ample space for datasets and multiple frontier model checkpoints. |
| PSU | Corsair RM1000x (1000W) | 170 | Overspecced for a single 3090 — runs cool and quiet, fan rarely spins up. |
| CPU Cooler | Arctic Liquid Freezer III 360 | 90 | 360mm AIO — overkill thermals means fans stay at near-silent RPMs under any load. |
| Case | Fractal Design Define 7 (Solid) | 160 | Sound-dampened panels. Sealed front for silence, still adequate airflow for a single-GPU setup. |
| Case Fans | 3 × Arctic P14 PWM (Intake) + 1 × P14 (Exhaust) | 40 | 140mm fans move air slowly and silently. Arctic's motors are near-inaudible at low RPM. |
| Total | ~£2,980 | £1,020 under the Spark. £370 under the dual-3090 jet engine. |
Deepseek saw Google's response and advised that two 3090s in that case would overheat and risk failure, so it's build is aimed at being slightly sleeker and quieter
How did they do? Are these decent builds or do they make mistakes? Can we do better?
Hey y’all I am currently working on building my own PC for the first time and was wondering if this is a good setup or if there is any alternatives that would work better for compatibility and maybe save a little money here and there lol I plan on playing games like Baldurs Gate, Detroit Become Human, the Sims 4 (with 3,000+ mods/cc) and I tend to multitask a lot with different apps open at once. I don’t really have a set budget just preferably under $3,000 and I am in the US.
I am also deciding between a MSI MAG 27” 280Hz and a LG UltraGear 27” 280Hz as a new monitor so any suggestions about that are also recommended