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(Check the output of ldd -v within a terminal)

Minimum requirements include the GNU C library (glibc) 2.17 or better.

Any 64-bit (Core i3 equivalent or better) running Linux.

macOS 11.0 (Big Sur) or newer for Macs with Apple Silicon and macOS 10.12 (Sierra) or newer for Macs with 64-bit Intel processors.

Mac with Apple Silicon or Intel processor (Core i3 or better).

* Stata requires 64-bit Windows for x86-64 processors made by Intel® or AMD (Core i3 equivalent or better). While Stata software is platform-specific, your Stata license is not therefore, you need not specify your operating system when placing your order for a license. Stata will run on the 3 platforms listed below. Stata/BE can have at most 798 independent variables in a model. Stata/BE allows data sets with as many as 2,048 variables and 2 billion observations. Stata/SE can analyse up to 2 billion observations. Stata/SE and Stata/MP can fit models with more independent variables than Stata/BE (up to 10,998).

Stata/SE and Stata/BE differ only in the data set size that each can analyse. Stata/MP can analyse 10 to 20 billion observations given the current largest computers, and is ready to analyse up to 1 trillion observations once computer hardware catches up. Stata/MP can also analyse more data than any other edition of Stata. For example, if your machine has eight cores, you can purchase a Stata/MP license for eight cores, four cores, or two cores. You can purchase a Stata/MP license for up to the number of cores on your machine (maximum is 64). Stata/MP, Stata/SE, and Stata/BE all run on any machine, but Stata/MP runs faster. With more than two cores or processors, Stata/MP is even faster. On dual-core chips, Stata/MP runs 40% faster overall and 72% faster where it matters, on the time-consuming estimation commands. This includes the Intel i3, i5, i7, i9, Xeon, and Celeron, and AMD multi-core chips. Virtually any current computer can take advantage of the advanced multiprocessing of Stata/MP. Stata/MP is the fastest and largest edition of Stata.