This tender is from the country of Germany in Europe region. The tender was published by Bauhaus University Weimar on 11 Nov 2025 for Delivery of high-performance gpu systems servers and workstations The Bauhaus University Weimar needs powerful GPU-accelerated computer systems for computationally intensive applications in the areas of deep learning artificial intelligence machine learning and photogrammetric calculations The tender includes Lot 1 GPU high-performance server 1 piece The server is used for training large neural networks processing large data sets and GPU-accelerated scientific calculations The system must provide high computing power through modern multi-core processors and multiple powerful GPUs Sufficient RAM capacity and fast NVMe storage are required to process large batch sizes and serve datasets locally at high speed The system must be designed for 24 7 continuous operation and have reliable cooling and redundant power supplies Lot 2 GPU High Performance Workstations Pack of 3 Positions 1 2 are for deep learning artificial intelligence and machine learning These workstations are used for training large neural networks processing large data sets and GPU-accelerated scientific computing Position 3 is intended for RAW photo editing and photogrammetric calculations This workstation is used for processing high-resolution image data photogrammetric 3D reconstruction of buildings and for analyzing large image data sets The expanded storage capacity is necessary for archiving large RAW photo data and photogrammetric projects The workstations must provide high computing power through modern multi-core processors and powerful GPUs Sufficient RAM capacity and fast NVMe storage are required to process large batch sizes or high-resolution image data and provide data sets locally at high speed The systems must be designed for continuous operation and have reliable cooling and high-quality power supplies. The last date to submit your bid for this tender was 27 Nov 2025. This tender is for the companies specializing in Workstations and similar sectors.
*The deadline for this tender has passed.
Tender Organisation:
Bauhaus University Weimar
Tender Sector:
Tender Service:
Worldwide
Tender Region:
Tender Country:
Tender CPV:
30214000 : Workstations
Tender Document Type:
Tender Notice
Tender Description:
Delivery of high-performance gpu systems servers and workstations The Bauhaus University Weimar needs powerful GPU-accelerated computer systems for computationally intensive applications in the areas of deep learning artificial intelligence machine learning and photogrammetric calculations The tender includes Lot 1 GPU high-performance server 1 piece The server is used for training large neural networks processing large data sets and GPU-accelerated scientific calculations The system must provide high computing power through modern multi-core processors and multiple powerful GPUs Sufficient RAM capacity and fast NVMe storage are required to process large batch sizes and serve datasets locally at high speed The system must be designed for 24 7 continuous operation and have reliable cooling and redundant power supplies Lot 2 GPU High Performance Workstations Pack of 3 Positions 1 2 are for deep learning artificial intelligence and machine learning These workstations are used for training large neural networks processing large data sets and GPU-accelerated scientific computing Position 3 is intended for RAW photo editing and photogrammetric calculations This workstation is used for processing high-resolution image data photogrammetric 3D reconstruction of buildings and for analyzing large image data sets The expanded storage capacity is necessary for archiving large RAW photo data and photogrammetric projects The workstations must provide high computing power through modern multi-core processors and powerful GPUs Sufficient RAM capacity and fast NVMe storage are required to process large batch sizes or high-resolution image data and provide data sets locally at high speed The systems must be designed for continuous operation and have reliable cooling and high-quality power supplies
Tender Bidding Type:
Tender Notice No:
Tender Document:
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