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Free 30-minute on-premises review

An Arc53 deployment engineer reviews your hardware, identity, network boundary and governance needs in thirty minutes. You leave with a hardware and governance checklist for your environment, whether or not you deploy DocsGPT.

No charge, no commitment, and no sales engineer on the call.

Last updated:

What the engineer reviews

Four questions decide whether an on-premises deployment is straightforward for you or not. The call goes through them in order; Deployment options covers the same ground in writing.

Hardware

What you already own

GPU class and VRAM against your document volume and expected concurrency. Existing estates are often enough; “none yet” is a valid answer.

T4 · L4 · A10 · A100 · VRAM

Identity

How people get in and out

Your identity provider, single sign-on and provisioning, so joiners and leavers are handled by the system of record.

OIDC SSO · SCIM 2.0 · RBAC

Network

Where the boundary sits

Hybrid, with retrieval local and prompts going to a cloud model, or fully air-gapped with no external egress at all.

hybrid · zero egress

Governance

What your auditor will ask

Retention, redaction, approval gates, and what the append-only audit log has to record for your evidence pack.

audit log · approvals · retention

Tell us about your environment

Anything you tell us about hardware and identity now saves time on the call.

An Arc53 deployment engineer.

next →you pick a time · deployment engineer · 30 min

What happens next

  1. 01

    Pick a time

    You choose a slot on the deployment engineer's calendar. Nothing is charged and nothing is committed.

    30 min · free

  2. 02

    Before the call

    We read what you sent about hardware and identity first, so the thirty minutes go on your environment instead of on questions we can answer ourselves.

  3. 03

    What you leave with

    A hardware and governance checklist for your environment — GPU class and VRAM, identity and SCIM, network boundary, retention and audit — whether or not you deploy DocsGPT.

    checklist · by email

Frequently asked questions

Do we need the hardware already?

No. Sizing is part of the review, and an existing GPU estate is often enough. Hardware fit & sizing gives you a first estimate before the call.

Will you sign an NDA before the review?

Yes, on request — ask for one in the message field. Until it is signed, keep the form to your hardware, identity and network details.

Can we run a proof of concept afterwards?

Yes. The standard Proof of Concept is one week on your infrastructure, with your data and your model, against pass/fail checks agreed before the week starts.