Which hardware fits your task?
Performance, compatibility and expandability matter just as much as operating costs.
Artifaktory Know-how
Which hardware fits your tasks? How can data be protected and workflows simplified? Our focus areas connect technical context with the requirements of your company.
B2B-first
Integration knowledge for professional systems
Local-first
Operate AI, data and workflows under control
Docs-first
Make decisions, tests and operations traceable
Decision guides
The following topics offer orientation for hardware selection, backup planning and local AI.
Performance, compatibility and expandability matter just as much as operating costs.
Which data is backed up, how quickly it must be available again and how recovery is tested.
Data control, result quality and operational effort form the basis for a suitable decision.
Knowledge Tracks
Jeder Track ist als Einstieg in eine technische Entscheidung gedacht: Welche Hardwareklasse, welche Softwarearchitektur, welche Betriebsregeln und welcher Sicherheitsrahmen passen zum konkreten Prozess?
When local AI makes sense and how document search, analysis and automation fit existing workflows.
How access rights, updates, backups and tested recovery work together.
How devices, applications and data sources are connected with suitable interfaces and governed access.
How sensors, devices and local processing can reduce manual steps in work processes.
How requirements become suitable applications with interfaces, tests and traceable handover.
What matters for PCs, workstations, servers, virtualization and the choice between local operation and cloud.
Operating Principles
Die Leitprinzipien aus dem Integration Lab sorgen dafür, dass Know-how nicht theoretisch bleibt, sondern in sichere, testbare und wartbare Systeme übersetzt wird.
Tasks, budget and existing IT determine the right solution.
Market-available hardware and individual software are aligned with each other.
Access, backup and recovery are planned, implemented and tested.
Function, resilience and handover are tested against agreed requirements.
Application examples
Example system concepts show how hardware, software and protective measures can work together for concrete tasks.
Encrypted storage, backup, restore, access control and secure document management.
Local models, RAG, document and data analysis embedded into concrete workflows.
Compact nodes for sensors, local processing, interfaces and automation.
Multiple small nodes for services, jobs, monitoring, data processing and demo systems.
You have data, hardware, processes or a local AI idea, but no clear system yet? We translate requirements into architecture, building blocks and next steps.