← Back to Setups

RTX 4090 Workstation — Local LLM Powerhouse

vLLM / Ollama gpu-workstation Custom PC with NVIDIA RTX 4090 · Llama 3.3 70B / Mixtral 8x7B

Why RTX 4090 for AI Agents?

If you need maximum local inference speed and want to run the largest open-source models without API costs, the RTX 4090 is still the king of consumer GPUs for AI. With 24GB VRAM, it handles 70B parameter models in quantized form.

ComponentRecommendationPrice
GPUNVIDIA RTX 4090 24GB$1,600
CPUAMD Ryzen 9 7950X$450
RAM64GB DDR5-6000$180
MotherboardB650E / X670E$200
Storage1TB NVMe Gen4$80
PSU850W+ 80+ Gold$120
CaseGood airflow mid-tower$100
Total~$2,730

Best Use Cases

  • Running 70B models locally at high speed
  • Serving multiple AI agents from one machine
  • Fine-tuning models on your own data
  • Privacy-critical applications (no data leaves your network)

✅ Pros

  • Fastest local inference for consumer hardware
  • 24GB VRAM runs most open models
  • CUDA ecosystem — widest software compatibility
  • Can serve multiple agents simultaneously
  • Great for fine-tuning

❌ Cons

  • Expensive ($1,600+ for GPU alone)
  • High power draw — $20-40/month electricity
  • Loud under load
  • Overkill if you mainly use cloud APIs

Quick Specs

From $2,500+
CPUAMD Ryzen 9 7950X / Intel i9-14900K
RAM64GB DDR5
Storage1TB NVMe SSD
GPUNVIDIA RTX 4090 (24GB VRAM)
Speed80 tok/s
ModelLlama 3.3 70B (Q4)
Power150-450W
View on Amazon →