Your Ideas. Your AI. Your Workstation.
The HI-TECH AI Workstation RTX PRO 4500 is designed for developers, ambitious users and businesses looking to run AI directly on their own computers. Whether working with local language models, AI-powered image generation or developing custom applications, this system combines powerful hardware with the versatile NVIDIA CUDA ecosystem, providing a capable foundation for demanding AI projects.
32 GB of NVIDIA Graphics Memory for Your AI Projects
At the heart of the system is the NVIDIA RTX PRO 4500 Blackwell, featuring 32 GB of high-speed GDDR7 graphics memory with ECC error correction. This capacity provides room for larger AI models, extended context windows and memory-intensive computations. 10,496 CUDA cores and fifth-generation Tensor Cores accelerate supported AI applications. Thanks to the NVIDIA CUDA platform, the workstation supports numerous established AI frameworks such as PyTorch, as well as compatible applications for running local language models and AI-powered image generation.
Powerful Performance Beyond the Graphics Card
The AMD Ryzen 9 9950X with 16 cores and 32 threads delivers the CPU performance needed for data processing, software development and parallel workloads. Combined with 48 GB of DDR5 memory and a spacious 4 TB M.2 SSD, the system provides plenty of room for models, datasets, development environments and project files. Additional memory can be configured to accommodate growing requirements.
Premium Hardware for Demanding Workloads
The MSI PRO X870E-P motherboard forms the foundation of the system. A 360 mm liquid cooling system keeps the processor cool, while the 1000 W power supply provides generous power reserves. The FRACTAL Design North XL combines well-designed airflow with a refined, understated appearance – ideal for offices, studios and professional development environments.
Local AI with Control Over Your Data
Locally hosted AI models allow prompts, documents and project data to be processed directly on your own system. With properly configured applications, there is no need to transmit this information to external AI services. This enables you to build customized workflows and utilize dedicated hardware without usage-based cloud computing costs.
Windows 11 is already included. With broad support for NVIDIA CUDA and compatible AI frameworks, the workstation is suitable for numerous AI applications and development environments on Windows and Linux. You can choose the appropriate AI software for your individual projects. For certain professional development and machine learning workflows, a supported Linux environment can also be installed.
Support for individual AI applications and frameworks depends on the operating system, software version and available drivers. The AI models that can be executed depend on factors such as model size, quantization and memory requirements.
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