Data Science PC Configs: From Low Range to Super-High Range | Summary and Q&A

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August 2, 2020
by
Abhishek Thakur
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Data Science PC Configs: From Low Range to Super-High Range

TL;DR

This video provides guidance on building a data science workstation, including different configurations for low, mid, and high ranges.

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Questions & Answers

Q: What are the recommended specifications for a low-range data science workstation?

For a low-range workstation, it is suggested to use a Core i5 processor, 16GB of RAM, an NVIDIA RTX 2060 graphics card, and a gaming motherboard. The total cost would be around $1,100.

Q: What are the key differences between low-range and mid-range configurations?

In the mid-range configuration, you can upgrade to a Core i7 processor, increase the RAM to 64GB, and use dual NVIDIA RTX 2080 Ti graphics cards. This would cost around $2,400.

Q: What components make up a high-range data science workstation?

A high-range workstation can include an Intel Core i9 processor, 128GB of RAM, dual NVIDIA RTX 2080 Ti graphics cards, and a 1,200-watt power supply. The estimated cost would be around $4,800.

Q: Is it necessary to have liquid-based cooling for a data science workstation?

Liquid cooling is recommended for high-range configurations to ensure optimal performance and prevent overheating. However, it is not essential for low or mid-range workstations.

Summary & Key Takeaways

  • The video discusses different configurations for building a data science workstation, from low to high range.

  • It emphasizes the importance of choosing compatible parts and provides recommendations for processors, graphics cards, RAM, and storage.

  • The video highlights the benefits of building a workstation rather than buying a pre-built one, and suggests using a separate laptop for portability.

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