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White Sausage & Technology
On April 16, 2026, Ginzinger once again hosted the “Weißwurst und Technik” technology demo. The goal of the event was to spark widespread interest in the latest technologies within the company.
Tech demo for employees
The goal of the “Weißwurst & Technik” series is to spark broad interest in current technologies within the company and to foster lively dialogue between departments. In this way, we ensure technological progress for our customers by driving new trends and processes in production and development.
Featured Topics
Once again, there was a diverse mix of topics, including the following presentations:
- From Quality Assurance: How to Create Cross-Sections?
- Technology Development: CI/CD: Platform Testing
- Software Development:
- -GELin Releases & Roadmap
- -Encryption Explained Simply
- Hardware Development: Insights into DDR Memory, Market Trends, and Qualification
- Innovation: Ginzinger ChatBot: OpenWebUI, LiteLLM, N8N, and more
Afterward, we invited everyone to a relaxed get-together with white sausage and drinks. We’re already looking forward to the next event this fall!
Details about the highlights:
From the metallurgy lab: micrographs
Alex from Quality Assurance demonstrated just how much technical expertise goes into a cross-section image during a hands-on presentation. He guided us step by step through the entire process.
Starting with the precise cutting of the printed circuit board, the sample is embedded, cast, and cured. Only then does the crucial precision work begin: on the grinding machine, the material is carefully removed layer by layer until the relevant structures become visible. Every single step requires the highest precision and coordinated procedures.
The result is high-resolution cross-sectional images that provide in-depth insights into material structure and manufacturing quality. They form a central foundation for reliable analyses and robust electronic systems.
Encryption Made Easy
In his concise presentation, Stefan from the software development team showed us how encryption protects our daily lives.
From Caesar’s cipher to modern algorithms like AES, one thing became clear: encryption always relies on the interplay between the algorithm and the key. Symmetric algorithms are fast and efficient, but they require a secure key exchange. Asymmetric methods solve precisely this problem with public and private keys—but are significantly slower as a result.
In practice, therefore, hybrid encryption is used: fast and secure at the same time. A well-known example is the padlock icon in the web browser, which indicates secure connections. The key takeaway: Encryption is not a niche topic, but the foundation of secure communication—from smartphones to online banking.
Understanding and Securing DDR Memory
Stefan’s presentation on DDR technologies, qualification, and market trends demonstrated just how complex modern memory systems have become.
From DDR2 to DDR5, one thing is clear: increasing data rates, varying voltages and latencies, and increasingly sophisticated training mechanisms are making integration more and more challenging. While early generations were still easy to handle, DDR5 requires highly precise fine-tuning—supplemented by features such as on-die ECC or integrated voltage regulation.
To make this complexity manageable, Ginzinger relies on structured qualification procedures. Tests such as Vref margin analyses, temperature cycles, and endurance testing ensure that memory functions reliably even under real-world conditions. At the same time, the market remains challenging: fluctuating availability, rising prices, and uncertain delivery times require extra attention during selection and evaluation. DDR memory has long been a critical factor for the performance, stability, and reliability of modern systems.
Applying AI in a practical way
Another item on the agenda was an internal AI project aimed at promoting the secure and practical use of artificial intelligence within the company.
Mario from Customer Support presented a Ginzinger platform that provides centralized access to AI tools while also addressing data protection and confidentiality requirements. This creates a flexible foundation for better leveraging knowledge, supporting processes, and preparing for future automation.
Initial applications have already been successfully tested, and further expansion is now proceeding step by step based on specific requirements from the business units.
