4 ms·

I actually feel like 16GB is pretty much the sweet spot. I've built a desktop PC recently and didn't bother with 32GB and haven't had any troubles. The only tim

by dom96 6y ago

I actually feel like 16GB is pretty much the sweet spot. I've built a desktop PC recently and didn't bother with 32GB and haven't had any troubles. The only time I've run into limits is when I was doing things like running games and big IDEs at the same time which seems like a waste in any case regardless of how much RAM is available.

phren0logy 6y ago
I would agree if it wasn't doing double-duty as memory for the GPU. Under those circumstances, even 16gb can start to get a bit tight on some tasks.
nullandvoid 6y ago
For me on windows, multiple virtual desktops, browser (chrome for work, ff for personal) IDE's and VMs (ubuntu running in wsl, and any docker containers) made 16gn unuseable for me And that's before I decided to boot up a game with all of the existing applications For me the £50 is well worth not having to care about pruning applications constantly!
- vmception 6y ago
  I recently got introduced to great suspender here and Chrome with separate accounts doesn't use much resources because tabs get backgrounded. Yes, you would still have to juggle if you really dont want to close your IDE, or lower judge how much RAM that docker container really needd, but also understand that OS’ and software allocate a huge portion of all available memory no matter what you have in the machine. Like you think you need 32gb for snappy performance and it is rational idea that all your processes absolutely need sequential memory blocks, but it isnt that true. I honestly think you would just be smarter about your use of resources again. With these benchmarks I am starting to lean more towards 32gb itself being the compromise. Simply because it doesnt cause you to budget resources, a luxury, but at the expense of these other benchmarks? And in the worst case we just have to wait a year or two before 32gb is offered in the M series package?
- spullara 6y ago
  I wonder if they have improved their memory compression with this new release as well. Would have compare apples to apples for various applications to see the effect.
ericd 6y ago
Really depends on what you’re doing. If you’re working with large amounts of data, being able to put it in memory is super helpful.

by dom96 6y ago

phren0logy 6y ago

I would agree if it wasn't doing double-duty as memory for the GPU. Under those circumstances, even 16gb can start to get a bit tight on some tasks.

nullandvoid 6y ago

For me on windows, multiple virtual desktops, browser (chrome for work, ff for personal) IDE's and VMs (ubuntu running in wsl, and any docker containers) made 16gn unuseable for me And that's before I decided to boot up a game with all of the existing applications For me the £50 is well worth not having to care about pruning applications constantly!

vmception 6y ago
I recently got introduced to great suspender here and Chrome with separate accounts doesn't use much resources because tabs get backgrounded. Yes, you would still have to juggle if you really dont want to close your IDE, or lower judge how much RAM that docker container really needd, but also understand that OS’ and software allocate a huge portion of all available memory no matter what you have in the machine. Like you think you need 32gb for snappy performance and it is rational idea that all your processes absolutely need sequential memory blocks, but it isnt that true. I honestly think you would just be smarter about your use of resources again. With these benchmarks I am starting to lean more towards 32gb itself being the compromise. Simply because it doesnt cause you to budget resources, a luxury, but at the expense of these other benchmarks? And in the worst case we just have to wait a year or two before 32gb is offered in the M series package?
spullara 6y ago
I wonder if they have improved their memory compression with this new release as well. Would have compare apples to apples for various applications to see the effect.

ericd 6y ago

Really depends on what you’re doing. If you’re working with large amounts of data, being able to put it in memory is super helpful.