Hardware
NVIDIA-Based Self-Hosting
CUDA-accelerated local AI rigs from a minimal RTX workstation up to multi-GPU servers.
NVIDIACUDARTXself-hostingGPU
Minimal configuration
- GPU: NVIDIA RTX 3060 12 GB
- RAM: 32 GB DDR4
- Storage: 512 GB NVMe SSD
- OS: Ubuntu 22.04 LTS
- Use case: Running 7B parameter models locally via Ollama or llama.cpp
Recommended configuration
- GPU: NVIDIA RTX 4090 24 GB or dual RTX 3090 24 GB
- RAM: 64 GB DDR4/DDR5
- Storage: 2 TB NVMe SSD
- OS: Ubuntu 24.04 LTS
- Use case: 13B–70B models, fine-tuning with LoRA, local ComfyUI/Stable Diffusion workflows
Premium configuration
- GPU: NVIDIA A100 80 GB or H100
- RAM: 128 GB ECC DDR5
- Storage: 4 TB NVMe SSD
- OS: Ubuntu 24.04 LTS or RHEL 9
- Use case: Full fine-tuning, multi-user inference API, enterprise deployment