![]() No matter what you choose, you should equip it with SSD their prices have dropped and their performance Placing them on the previous Christmas tree looks like this: A D元80 with 1-2 Xeon CPUs and up to hundreds of GBs of RAM can run multiple labs at the same time. Servers: Obviously, I’m not talking about micro-servers with Atom CPUs here.Just like with the towers, don’t order a high-perf GPU is you’ll be running network labs only. 1 CPU socket and usually a maximum of 64 GB RAM what they offer. Mobile workstations: They have better specs than a notebook but of course they don’t reach the performance of the desktop version. ![]() If you don’t need more than 128 GB RAM, you can choose a high-end gaming desktop (with i7/9 CPU) instead of a “real” workstation at least you can play and work on the same computer. If you’re purchasing it for network labs only, you can skip the high performance GPUs to lower your bill. Their only drawback is the price tag you definitely won’t like that. Workstations: Today’s 1-2 sockets workstations, offering Xeon CPUs and sometimes up to 256 GB RAM, can run even the most complex labs.Laptops: The specs are similar to the all-round desktops but you can carry them around (obviously).All-round PCs: These device usually have 2-4 cores (Pentium, i3, maybe i5 CPUs) and 2-8 GB RAM.Now that you know your limitations and requirements, it’s time too look at the available options. Hence I can only give you the general tips: record the memory usage of your container in an average situation and add it to the rest of your calculation (with some buffer of course). ![]() Unfortunately containers don’t have fixed memory requirements depending on the applications they can scale from a few MBs to GBs. Grab a copy of this spreadsheet, enter the instance numbers for the node types you’re planning to run, and check the “Total” line. It contains all VM-based appliances available in GNS3. ![]()
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