Cloud Ninjas Workstations for Data Science Intel Xeon Edition

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Processor Specifications for Cloud Ninjas Data Science Intel Xeon Edition Workstation The CPU is a critical component in a data science workstation, as many analytical and data man ipulation tasks rely heavily on CPU performance. Strong multi-core capability improves parallel data processing in programs such as MATLAB or Python. High clock speeds enhance responsiveness during interactive analysis and visualization; Single-threaded applications such as R also benefit. The selection of CPU depends on which workflow. CPU Cores & Threads Base Clock Turbo Clock Intel Xeon w5-3525 16C/32T 3.20 GHz 4.80 GHz Intel Xeon w5-3535X 20C/40T 2.90 GHz 4.80 GHz Intel Xeon w7-3545 24C/48T 2.70 GHz 4.80 GHz Intel Xeon w7-3555 28C/56T 2.70 GHz 4.80 GHz Intel Xeon w7-3565X 32C/64T 2.50 GHz 4.80 GHz Intel Xeon w9-3575X 44C/88T 2.20 GHz 4.80 GHz Intel Xeon w9-3595X 60C/120T 2.00 GHz 4.80 GHz Graphics Card Specifications for Cloud Ninjas Data Science Intel Xeon Workstation The GPU enhances data science workflows by accelerating machine learning models, simulations, and advanced visualizations. A modern GPU with sufficient memory improves performance when working with large datasets and complex models, making GPU capability an important factor for scalable data science and analytics workloads. GPU VRAM GPU Clock Memory Clock NVIDIA RTX PRO 6000 Blackwell Workstation Edition 96GB GDDR7 1750 MHz 2617 MHz NVIDIA RTX PRO 6000 Blackwell Max Q Workstation Edition 96GB GDDR7 2280 MHz 1750 MHz NVIDIA RTX PRO 5000 Blackwell 48GB GDDR7 2377 MHz 1750 MHz NVIDIA RTX PRO 4500 Blackwell 32GB GDDR7 2407 MHz 1750 MHz NVIDIA RTX PRO 4000 Blackwell 24GB GGDR7 1590 MHz 1750 MHz NVIDIA RTX 5090 32GB GDDR7 1750 MHz 2407 MHz NVIDIA RTX 5080 16GB GDDR7 1875 MHz 2617 MHz NVIDIA RTX 5070 Ti 16GB GDDR7 1750 MHz 2452 MHz NVIDIA RTX 5070 12GB GDDR7 1750 MHz 2512 MHz NVIDIA RTX 5060 Ti 16GB GDDR7 1750 MHz 2572 MHz NVIDIA RTX A1000 8GB GDDR6 1462 MHz 1500 MHz NVIDIA RTX A400 4GB GDDR6 1762 MHz 1500 MHz Show more