Attendee lists and sponsor deals stay off the public cloud.
Run AI on a machine you control.
Private LLM hosting on a dedicated machine in EU-Central, for event and conference organizers managing registration data, sponsor agreements, and speaker contracts under tight deadlines.
Not legal advice. This page describes GPUwerk's infrastructure and contractual commitments. Whether your sponsor or speaker agreements permit AI-assisted processing of their content is a matter for whoever negotiated those contracts, not something GPUwerk's infrastructure can determine.
Why event data doesn't belong in a public AI tool
A mid-size conference stack has real financial and reputational exposure in it: sponsor tier pricing, unreleased speaker line-ups, attendee contact details, and sometimes payment or badge-scan data. Running that through a shared consumer AI service sends it to infrastructure your event contracts almost certainly never contemplated.
"It's just an attendee spreadsheet"
Registration data is personal data under GDPR the moment it includes a name and email address, and event registrations often carry more: dietary restrictions, accessibility needs, sometimes health-adjacent detail volunteered at sign-up. A dedicated instance keeps that inside your own access-controlled environment.
"Sponsor contracts are confidential but not sensitive"
Sponsorship tiers and pricing are usually confidential by contract even when they aren't personal data. Summarizing or comparing sponsor agreements with a public AI tool can put pricing terms in front of a third party your contract never named.
"Our team already drafts with a public AI tool"
Staff drafting sponsor recaps or attendee communications in a public tool is a real exposure, not a hypothetical one. A sanctioned alternative on your own instance, same chat interface, keeps that workflow off third-party infrastructure. See the private ChatGPT setup →
What runs well on a Spark node
Drafting sponsor prospectuses, summarizing post-event surveys, triaging attendee support emails during a live event, and reviewing speaker agreements for calendar and payment clauses are typical workloads. A single dedicated node is enough for most organizers, including during the pre-event traffic spike.
| Question | Answer |
|---|---|
| Where is data physically processed? | EU-Central, on a dedicated single-tenant machine assigned to you |
| Who can access instance content? | Through the instance itself, only holders of your SSH keys; password login is disabled fleet-wide. GPUwerk keeps infrastructure administrator access to the machine, as on any hosted service, and under the DPA does not use it on your content except at your request for support or where a legal obligation requires it. |
| Sub-processors for the workload? | None, listed at /legal/sub-processors |
| DPA (GDPR Art. 28)? | Published at /legal/dpa, no charge |
| Certifications held? | None claimed on this page or elsewhere on the site. If a sponsor or client's procurement process requires a specific certification, verify directly with us before relying on this page. |
| On-demand rate | $0.79/hour (spark-1x), $1.79/hour (spark-2x). See /pricing for held/reserved rates. |
Questions we get from event and conference organizers
Can we process attendee and registration data on this?
Yes. Attendee lists, dietary and accessibility notes, and registration records can be processed on your dedicated instance in EU-Central, under the same Article 28 DPA that covers any other personal data you handle.
Are sponsor and speaker contracts safe to run through an LLM here?
The infrastructure question is straightforward: the instance is single-tenant and dedicated to you, with no sub-processors for instance content. Whether a specific contract's confidentiality clause permits AI-assisted review at all is a question for whoever negotiated it, not something GPUwerk can answer on your behalf.
Does GPUwerk see our event data?
No, not as a matter of course. Under the data processing agreement, GPUwerk does not access instance content except at your request for support or where a legal obligation requires it.
Do you sign a DPA for attendee data?
Yes, a standard GDPR Article 28 DPA is published at /legal/dpa at no charge, and there are no sub-processors for instance workloads.
Related pages
See how other client-facing businesses use private LLM hosting: museums and cultural institutions, gyms and wellness chains, and translation and localization agencies. Or start from the private LLM hosting overview.
Related pages
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