other alternative: https://frame.work/ laptops
- DIY friendly Linux compatibility; max 2x32GB RAM ; i5-i7 11gen + AVX512; + SN850 is the fastest Gen4 SSD
it is not nVidia CUDA; but you can test the Intel oneAPI solution
Sometimes I am processing a ~100GB compressed Wikidata JSON DUMP or OpenStreetMap dump on my laptop
( 24GB RAM + 1TB SSD + 8gen Intel CPU - Thinkpad T480s )
My method: extreme prefiltering → loading the minimal data to SQL database (PostgreSQL)
( in my case this is geodata - so PostGIS is a must )
IMHO: with sqlite/postgreSQL/mySQL you can handle data larger than fits into RAM
And with PostgreSQL - you can use Julia as an embedded - procedural language
- pljulia / pljulia · GitLab ( … work in progress )
in the next year: you can expect laptops with 12c - 16c Intel mobil CPU-s - so no easy decision.
- Intel Core i9-12900H high-end laptop CPU spotted with 14 cores and 20 threads - VideoCardz.com ( only AVX2 )
+info: Dataframes.jl #1 requests: “handling data larger than fits into RAM”
2 Xeon E5-2699 v3 therefore 2 * 18 core and 2 * 36 threads.
other important: you can expect extremely low single-core performance;
and not all Julia package is optimized for multithreading.