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Runs on a private AI box you own

One compact GB10-class device — 128 GB unified memory — runs it on-premise, sold and provisioned by us. No cloud API keys, no data leaving the building.

ASUS Ascent GX10 — GB10-class sovereign AI device on a desk (official ASUS image)
ASUS Ascent GX10from €3 650,22 HT
Dell Pro Max with GB10 — GB10-class sovereign AI device (official Dell image)
Dell Pro Max with GB10from €4 328,25 HT

All on-premises model pages

Run GLM-4.5-Air on-premises

Memory-fit arithmetic — checkable math, not a deployment claim

GLM-4.5-Air is the lighter member of the GLM-4.5 family — 106 billion total parameters with about 12 billion active — released under the permissive MIT license and tuned for agentic and coding work. It fits one GB10-class unit at 4-bit.

Here is the arithmetic on a 128 GB unit.

Memory fit on a 128 GB unit

Parameters106B total, ~12B active per token (MoE)
4-bit weights~55 GB
Device memory128 GB unified (one unit)
Left for context cache + systemroughly 55 GB
Units required1

At ~55 GB the model fits one unit with generous context headroom; the full GLM-4.5 (~355B) does not — see the limits.

What it serves well

  • Agentic and tool-calling workflows on the box.
  • Coding assistance where an MIT license is a clean fit.
  • General assistant duty with a permissive, commercial-friendly license.

Honest limits

  • Arithmetic, not our measured deployment. The envelope is within what this hardware runs comfortably.
  • The full GLM-4.5 / 4.6 (~355B) does NOT fit a single 128 GB unit — this page is specifically about the Air variant.

Frequently asked questions

Does GLM-4.5-Air fit one unit?
Yes — ~55 GB at 4-bit against 128 GB leaves roughly 55 GB for context and system.
License?
MIT — permissive and commercial-friendly, verified against the model's release.
Can I run the full GLM-4.5 on one box?
No — the full 355B model exceeds a single 128 GB unit. The Air variant on this page is the one that fits.
Request an assessment & quoteThe machine this math is about — Sovereign DevicesFine-tune a model on your data — LLM Factory