Name in original language
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Initiative overview
OTP-Emese is a specialized high-performance computing (HPC) system built to meet the increasing demands of training deep learning language models. As natural language processing (NLP) technologies grow more complex, traditional computing systems often lack the capacity to handle the massive data and processing needs. OTP-Emese addresses this by offering an estimated 27 PetaFlops of computational power, making it suitable for training large-scale models like GPT.
Its main purpose is to support both commercial and research efforts in AI language model development. By providing a powerful and stable infrastructure, it helps developers and researchers train models faster, more efficiently, and with better results. Users include AI engineers, data scientists, and academic institutions working on NLP tasks such as machine translation, text generation, and chatbots.
The system is actively maintained and optimized for deep learning workloads. Although its current focus is language models, the platform’s capacity makes it adaptable for other advanced AI tasks.
