Custom liquid-cooled GPU inference servers for on-premise AI deployment.
Enterprise-grade hardware without the cloud markup. Purpose-built inference appliances that replace $50K/month API bills with infrastructure you own, control, and colocate.
Get in touchEvery system is designed, assembled, and tested in Southern Utah. No white-label boxes — we engineer our own cooling loops, power distribution, and chassis.
Direct-to-chip and immersion-ready loop designs keep 8 GPUs below 65°C under sustained load. Silent operation, no throttling, no datacenter noise.
768GB+ aggregate VRAM per node. Run the largest open-weight models locally — Llama, DeepSeek, Qwen, Mistral — at 100+ tokens/sec inference.
Zero vendor lock-in. vLLM, TensorRT-LLM, llama.cpp, TGI — your stack, your models. We validate every major open-weight architecture before shipping.
Racked, networked, and validated before it ships. We help with colocation, remote management, and ongoing support. You plug in and deploy models.
Cloud AI APIs price access, not capability. At scale, buying hardware is cheaper, faster, and gives you full control of your stack.
A single 8-GPU server replaces $40K–$60K in monthly API spend for moderate workloads. At 1M+ tokens per day, the math is relentless. Your server pays for itself inside a year.
API pricing changes overnight. Models get deprecated. Rate limits appear. Owning your hardware means fixed costs, predictable performance, and zero dependence on someone else's pricing sheet.
No prompts routed through third-party servers. No training on your data. Full control over model versions, quantization, and serving configuration. Air-gapped deployment available.
Every configuration is customizable. These are baseline capabilities — we scale up from here.