i7-9800X supports maximum RAM capacity.
i7-9800X supports maximum RAM capacity.
You're looking to upgrade your system for handling very large Excel files. With your current setup (i7 7th gen, 32GB RAM), you're already hitting performance limits after just a few minutes. You're considering an i7-9800X, ASRock X299 Extreme 4, and 256GB RAM (8x32GB). Regarding your questions:
- The i7-9800X supports up to 32GB RAM, so 256GB is feasible but may require careful configuration.
- For high-performance storage, a RAID 1 setup with two NVMe drives is a solid choice.
- If you're on a budget, a dual SSD configuration (two 2TB NVMe drives) would also work well.
- If you're concerned about compatibility, ensure your motherboard supports the RAM type and speed you plan to use.
Since this is for a manager, focus on stability and performance now rather than trying quick fixes. Let me know if you need help with specific configurations!
On the X299 platform, a 256RAM CPU is possible depending on the model. You don’t necessarily need a full server—just ensure the CPU supports 256RAM and has the right single-core performance for your needs.
The 10th generation model received a solid upgrade, handling up to 256 gigabytes.
The problem could stem from Excel rather than RAM, especially when working with files over 300MB. Performance issues are common regardless of the operating system you're using. Why are you dealing with multi-GB Excel files? There seems to be a more efficient or simpler method for storing data.
We're facing a challenge with CSV files in pandas, consuming too much RAM. Are there simpler alternatives beyond writing code in C or Rust or increasing memory?
They simplify handling by moving large CSVs into SQL databases or similar systems. This approach works well when data stays mostly unchanged or is added gradually. In $DayJob we often process around 20 CSV files per system across a network, each ranging from a few KB to over 20MB, handling roughly 10-15,000 systems daily in one database. Occasionally we accumulate more than a week’s worth of data before it gets removed. Using tools like MySQL Query Browser makes data exploration and extraction much smoother compared to working with these files individually, and significantly faster than managing even massive firewall logs in single CSV files.