Maximize your desktop workstation’s data science and machine learning capabilities with cutting-edge Intel and AMD chips. Tailor your configuration for peak performance to tackle the data exploration and model development phase in AI the most demanding phase for data scientists. Unlock the computational power of Intel and AMD chips which are well suited for Python tools and libraries such as Pandas and Scikit-learn. With the increasing size of modern datasets, data scientists can achieve larger gains in data science performance with a high memory capacity build while leveraging higher frequency CPUs.
The Cortex AI Workstation is a state-of-the-art machine that boasts unmatched AI capabilities, thanks to its versatile 4-GPU configuration. With the ability to harness the immense power of cutting-edge parallel computing, this workstation provides accelerated model training and inference, making it an indispensable tool for researchers and developers alike. Whether you are a seasoned expert or just beginning your AI journey, the Cortex AI Workstation will help you embark on new horizons of AI research with confidence, propelling you towards groundbreaking discoveries and innovations.
Whether you are building AI models from scratch or fine-tuning models, you’ll need the processing power of the CPU paired with a high memory capacity to complement GPUs and other accelerators. Optimized for large dataset preprocessing and exploration, Intel Xeon-class processors provide the best basis for the future of one’s Data Science and AI needs.
For faster analytical experiments and model iterations, utilize Intel Xeon for its expansive memory resources of up to 4TB of RAM in single-socket systems and 8TB of RAM in dual-socket systems.
Push more data to cores as quickly as possible by leveraging Xeon’s higher memory capacity with the increased bandwidth of DDR5 and 8 memory channels from Intel Xeon processors.
Increase model testing, training, and inference experiments with multiple GPUs, made possible by Intel Xeon’s 112 lanes of PCIe Gen 5.0.