Versus Engine
ClawBox vs Threadripper Pro + Dual RTX 4090 Build
Specs, price and the one trade-off that actually decides it — ClawBox against Threadripper Pro + Dual RTX 4090 Build, side by side.
Cheaper to start
Tie
Both start at a similar price.
Rated higher
Tie
Both score 9.2 on our design scale.
Standout
ClawBox
Around 20W continuous draw makes always-on genuinely practical

ClawBox
A dedicated 20W AI appliance that runs a local agent continuously, with no discrete GPU.
Where it wins, where it doesn't
Pros
- Around 20W continuous draw makes always-on genuinely practical
- Dedicated appliance, no general-purpose OS to maintain
- Runs entirely locally — nothing leaves the house
Cons
- Locked to its own model rather than anything you want to load
- Requires real networking competence to integrate
- Nowhere near the capability of a local-inference workstation
Specifications
- cpu—
- gpu—
- tier—
- ram_gb—
- vram_gb_total—
- example_models—
- tokens_per_second—

Threadripper Pro + Dual RTX 4090 Build
Professional-tier workstation: AMD Ryzen Threadripper Pro with two NVIDIA GeForce RTX 4090s (48 GB VRAM total) and 256 GB of RAM. Runs Llama 3.1 405B and gpt-oss-120b at roughly 10-20 tokens/s — the enterprise end of this index for on-premises inference.
Where it wins, where it doesn't
Pros
- 48GB total VRAM for heavy inference
- Massive PCIe lane bandwidth
- 64-core compute headroom
Cons
- Extreme power consumption (1500W+ peak)
- High noise levels under sustained load
Specifications
- cpuAMD Ryzen Threadripper Pro
- gpu2x NVIDIA GeForce RTX 4090
- tierprofessional
- ram_gb256
- vram_gb_total48
- example_modelsLlama 3.1 405B, gpt-oss-120b
- tokens_per_second10-20
