M silicon/SoC is the best thing to happen to computing, for me.
I have 64GBs of RAM in my Macbook Pro. I load a 48GB DuckDB to RAM and run real-time, split-second, complex, unique analysis using Polars and Superset. Nothing like this was possible before unless I had a supercomputer.
Is it really that much better than some small form AMD Ryzen with 2x32 SODIMM thrown in? I get that the M series is amazing in terms of efficiency and some people love Apple hardware but you could likely have had that performance with a $700 setup.
The only server that actually matched the performance of a Mac Studio was XEON Max series (formerly codenamed Sapphire Rapids HBM) with 64GB of integrated memory into the CPU package. the latency between the CPU and RAM is simply too big in a regular PC.
yes. we have PCs. AFAIK, the cheapest PC that compares for my workflow is an EPYC/NUMA or another very expensive CPU/latency optimized server. We have a complex stack, with clients running unique queries that we can't predict and gigabytes loaded into RAM, L3 cache doesn't always save us. I haven't found another solution, I wish we could drop the Macs cause the OS is pretty awful.
We're using Macs as servers. But it's a small operation.
I have 64GBs of RAM in my Macbook Pro. I load a 48GB DuckDB to RAM and run real-time, split-second, complex, unique analysis using Polars and Superset. Nothing like this was possible before unless I had a supercomputer.