gex44 website matrix
GEX44 with Nvidia GPU
Dedicated GPU Servers


Discover the possibilities of artificial intelligence with our new affordable dedicated GPU server GEX44. Ideal for AI inference, the GEX44 enables the operation of trained AI models and thus offers the perfect entry point for developers, companies and researchers. Kickstart your AI project now - cost-efficient and powerful.
Tensor Performance
Intel® Core™ i5-13500
6 Performance Cores
8 Efficient Cores
64 GB DDR4
1.92 TB (Gen3)
Nvidia RTX™ 4000 SFF Ada Generation (20GB GDDR6 ECC)
306.8 TFLOPS
100% green energy 100% Green Electricity
GDPR compliant. Our GPU Servers are located in Germany.

GEX44 – Perfect for AI inference

Efficient GPU power for trained AI

AI inference means using a trained AI model that analyzes new data and makes predictions or decisions based on it. The inference process is important for the practical application of AI systems, as it involves applying learned knowledge to new, unknown data. This should be done as fast and efficiently as possible. The GEX44 is specially optimized for such scenarios and delivers fast, precise answers with minimal latency.

GEX44 AI Inference

The GEX44 can accelerate demanding calculations by utilizing the 192 Tensor Cores in the Nvidia RTX™ 4000 SFF Ada Generation GPU, significantly increasing the efficiency of AI inference operations. This is particularly important for applications such as real-time image recognition, speech processing and complex data analysis, where every millisecond counts.

The RTX™ 4000 SFF Ada generation is particularly energy efficient. The high performance per watt ensures a significant reduction in energy consumption.

GEX44 Image Recognition
generic background image

With one ear directly to our product development

Subscribe to our newsletter to get exclusive insights from Hetzner and learn all about new products and features.

Subscribe to newsletter

Selected AI use-cases


Natural Language Processing

AI models from the field of NLP are designed to enable computers to capture human language in its full complexity. Artificial intelligence should understand, interpret and generate text and spoken words in a way that is natural and useful.

Specific applications include speech recognition, translation, chatbots and the creation, analysis and classification of texts.

background elements