The local inference engine, tuned to your hardware — not the other way around. Rust + CUDA, NCI-MoE research inside, 57× KV-cache compression: AI processing that stays on your infrastructure, at a fraction of the cost.
Platform module of the AIvantGuard SDK — tier-based licensing, adopted with a deployment.
sm121-native attention with 57× KV-cache compression — more context, less memory.
Rust + CUDA optimized for the GPUs you actually own — no competitor tunes to customer hardware.
Modern numeric formats — more model per GPU, at serving-grade quality.
Mixture-of-Experts research (published on Zenodo) — only the relevant experts load.
Memory-safe, ~17,000 lines across 10 crates. Built for production, not demos.
The engine improves with your workloads — deployment profiles sharpen over time.
Live today
Serving current frontier-class models on your own metal.
Next
The next model generation, tuned in.
Then
Deployment profiles that optimize themselves from real traffic.
Long term
GA as the inference engine of the sovereign stack.
We bring the tuning expertise — you bring the GPUs you already have.
Inference cost curves that actually bend — at serving-grade reliability.
Independence from foreign inference vendors — models on your metal, under your law.