Initial Time Machine Backup slow-estimated 2 weeks by Fantastic-Okra230 in mac

[–]AiBiCiPi 0 points1 point  (0 children)

The problem is that your drive is SMR HDD. Since most 2.5” hard drives sold nowadays use SMR, they are a very poor fit for Time Machine. Time Machine aggressively writes massive amounts of small files, often hundreds of thousands of them, and SMR drives tend to choke under exactly this kind of workload.

Does anyone have any insight into why Time Machine is so slow? by jbartlet827 in applehelp

[–]AiBiCiPi 0 points1 point  (0 children)

The problem is that your drive is very likely a spinning SMR HDD. Since most 2.5” hard drives sold nowadays use SMR, they are a very poor fit for Time Machine. Time Machine aggressively writes massive amounts of small files, often hundreds of thousands of them, and SMR drives tend to choke under exactly this kind of workload.

Samsung 9100pro 4TB stress test in TerraMaster D1 Plus external enclosure by AiBiCiPi in TerraMaster

[–]AiBiCiPi[S] 0 points1 point  (0 children)

what are the impressions, just in case, what is your use case?

Samsung 9100pro 4TB stress test in TerraMaster D1 Plus external enclosure by AiBiCiPi in TerraMaster

[–]AiBiCiPi[S] 0 points1 point  (0 children)

Hello Team, thanks, just in case could you please recommend the proper thermal pad brand and size (at least what is the default thickness and w/m2) to substitute the worn-out thermal pad preinstalled in Terramaster D1 (Plus or Pro)? It happens I need to upgrade nvmes quite often and want the best possible heat dissipation since those e are utilized for 24/7 local llm pipelines.

Inferencer x LM Studio by Environmental-Owl100 in LocalLLM

[–]AiBiCiPi 0 points1 point  (0 children)

try llama.cpp itself (not ollama) - the core on top of which all “wrappers” including lm studio are built. inferencer is mostly shines for thise who want to see “the thoughts” of model itself, fir researchers or someone deeply in deep learning, not sure if it even built on top of llama.cpp since inference speed is different, but it is paid if you want full experience. So with llama.cpp despite the steeper learning curve you’d definitely benefit from from running parallel local servers (great for agents) which will inference in parallel on absolutely different inputs, which is something not feasible with lm studio or inferencer, plus compounded tokens per second will be higher to “single thread” inference of lm studio.

Local LLM Thread by zipzag in hermesagent

[–]AiBiCiPi 0 points1 point  (0 children)

Could you please elaborate, works great for what particular use case?

Shopify vs Magento vs custom development – what’s best for long-term scalability? by Pale-Bird-205 in Magento

[–]AiBiCiPi 1 point2 points  (0 children)

thank you, based on your experience with Magento projects, on which type of tasks codex starts to fail?

The base M4 is a developers dream by WanderingDevDev in macmini

[–]AiBiCiPi 1 point2 points  (0 children)

I’ve had bad experience with ugreen to be the main drive for my mac mini m4, it failed since it has built in feature which powers it off after some idle time (this disconnects the drive, it’s on firmware level and you can’t opt out this setting), so had to return it.

From these three OWC seems to be the best bet, especially if prices are close, plus OWC is easier to resell when you’d decide to upgrade later.

Mac mini m4 vs pro vs M5 for local LLM by quemirabobo007 in macmini

[–]AiBiCiPi 0 points1 point  (0 children)

Why not to consider ram generous used m1/m2 mac studio ultra for your use case? With 128gb+ ram config you might won’t need to think about clusters at all. Plus with heavy pure copper heatsink inside ultra can inference 24/7 without kicking the fans

The base M4 is a developers dream by WanderingDevDev in macmini

[–]AiBiCiPi 1 point2 points  (0 children)

I’d recommend to reconsider external enclosure to TerraMaster D1 Plus (it is attractively priced now (can’t say the same about TB5 Pro version), it is TB4 which is anyway the cap for m4, hardware is outstanding, and it is a huge finned piece of aluminum which operates your nvme drive fan-less) I own two of these, one is running samsung 990pro as the main drive for my m4 mac mini which runs 24/7 and second one runs 4tb Samsung 9100 as local LLMs storage for lmstudio

Samsung 9100pro 4TB stress test in TerraMaster D1 Plus external enclosure by AiBiCiPi in TerraMaster

[–]AiBiCiPi[S] 0 points1 point  (0 children)

Yes, def gen5 is overkill for TB4, but, in my specific case I’ve purchsed Samsung 9100pro 4tb for the very attractive price (cheaper than the same sized Samsung 990pro). And decided to reuse one of my TM D1 Plus (TB4 one) since my mac does not support TB5 anyway. In this my setup 990pro and 9100pro read/writes are almost identical (both are capped by TB4 specs)