SupremeBrain
Hardware Lab

Run Your Own
AI Stack

Complete hardware guides with exact parts lists, benchmarks, energy cost analysis, and deployment configurations.

Why Run Local?

Data Sovereignty

Your data never leaves your servers. Full control over privacy and compliance.

Long-Term Savings

After 6-12 months, local inference is 5-10x cheaper than API costs at scale.

Performance Control

No rate limits, no latency, no cold starts. Run inference as fast as your hardware allows.

Customization

Fine-tune models on your data. Run any model, any size, any framework.

Recommended Builds

Curated hardware configurations with exact parts, benchmarks, and affiliate links.

Starter

$2,000 – $3,000

Perfect for experimentation & small-scale production

~150W under load • ~$15/mo electricity

Specifications

GPUNVIDIA RTX 4070 Ti Super (16GB)
CPUAMD Ryzen 7 7700X
RAM32GB DDR5
Storage1TB NVMe SSD
Power650W 80+ Gold

Capabilities

Run 7B–13B parameter models locally
~30-50 tokens/sec on 7B models
Basic RAG pipelines
Development & testing

Growth

RECOMMENDED

$5,000 – $8,000

Production-ready multi-GPU for serious workloads

~450W under load • ~$45/mo electricity

Specifications

GPU2x NVIDIA RTX 4090 (48GB total)
CPUAMD Ryzen 9 7950X
RAM64GB DDR5
Storage2TB NVMe SSD
Power1200W 80+ Platinum

Capabilities

Run 70B parameter models locally
~50-80 tokens/sec on 13B models
Multi-agent orchestration
Production inference serving

Enterprise

$15,000+

Rack-mount cluster for unlimited scale

~1200W under load • ~$120/mo electricity

Specifications

GPU4x NVIDIA A100 80GB (320GB total)
CPUAMD EPYC 9654
RAM256GB ECC DDR5
Storage8TB NVMe RAID
Power2400W redundant PSU

Capabilities

Run any model size (405B+)
Fine-tuning & training
Cluster orchestration
99.9% uptime SLA-ready

Prefer Hosted?

Not ready to build? We also curate the best cloud GPU providers for hybrid setups.

RunPod

Cloud GPU hosting

Lambda Labs

Cloud GPU hosting

Vast.ai

Cloud GPU hosting