KICKSTARTING AI FOR EVERYONE
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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.
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.
Selected AI use-cases
- NLP
- Multimodal
- Computer vision
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.
