Earlier quoted context omitted.
I torrent things from two different hosts on my gigabit network. The macos stack literally cannot handle the full bandwidth I have. It fails and the machine needs to be rebooted to fix it. It’s not pretty on the way into this state, either. Other remote connections to the computer are unreliable. On Linux, running the same app in a docker container works perfectly. Transmission is the app.
>Transmission is the app. Former Transmission user here. I realise you didn't ask, but you might find some improvements in qBittorrent.
Apple M3 Ultra
201–210 of 1001 posts
Re: Apple M3 Ultra
#202Re: Apple M3 Ultra
#203Whoa. M3 instead of M4. I wonder if this was basically binning, but I thought that I had read somewhere that the interposer that enabled this for the M1 chips where not available. That Said, 512GB of unified ram with access to the NPU is absolutely a game changer. My guess is that Apple developed this chip for their internal AI efforts, and are now at the point where they are releasing it publicly for others to use.…
The CPUs have zero competition in terms of speed, memory bandwidth. Still blown away no other company has been able to produce Arm server chips that can compete.
Re: Apple M3 Ultra
#204Earlier quoted context omitted.
That’s what’s weird to me too. It’s not like they would lose sales of macOS as it is given away with the hardware. So if someone wants to buy Apple hardware to run Linux, it does not have a negative affect to AAPL
> So if someone wants to buy Apple hardware to run Linux, it does not have a negative affect to AAPL It does. Support costs. How do you prove it's a hardware failure or software? What should they do? Say it "unofficially" supports Linux? People would still try to get support. Eventually they'd have to test it themselves etc.
Re: Apple M3 Ultra
#205Earlier quoted context omitted.
This is for AI which is going to benefit more from use of metal / NPU than SIMD.
Sure, but larger models that fit in that 512gb memory are going to take a long time to tokenize/detokenize without hardware-accelerated BLAS.
Re: Apple M3 Ultra
#206They update the Studio to M3 Ultra now, so M4 Ultra can presumably go directly into the Mac Pro at WWDC? Interesting timing. Maybe they'll change the form factor of the Mac Pro, too? Additionally, I would assume this is a very low-volume product, so it being on N3B isn't a dealbreaker. At the same time, these chips must be very expensive to make, so tying them with luxury-priced RAM makes some kind of sense.
Re: Apple M3 Ultra
#207Even for its intended AI audience, the ISA additions in M4 brought significant uplift.
Are they waiting to put M4 Ultra into the Mac Pro?
Re: Apple M3 Ultra
#208Whoa. M3 instead of M4. I wonder if this was basically binning, but I thought that I had read somewhere that the interposer that enabled this for the M1 chips where not available. That Said, 512GB of unified ram with access to the NPU is absolutely a game changer. My guess is that Apple developed this chip for their internal AI efforts, and are now at the point where they are releasing it publicly for others to use.…
Keep in mind the minimum configuration that has 512GB of unified RAM is $9,499.
Re: Apple M3 Ultra
#209Earlier quoted context omitted.
No native docker support, no headless management options (enterprise strength), Limited QoS management, lack of robust python support (out of the box), interactive user focused security model.
1. I run Docker and Podman on my Macs. 2. If you mean MDM, there are several good options. Screen sharing and SSH are build in. 3. In what sense? 4. `uv python install whatever` is infinitely better than upgrading on the OS vendor’s schedule. 5. What does that affect?
That's using a Linux VM. The idea people are asking about is native process isolation. Yes you'd have to rebuild Docker containers based on some sort of (small) macOS base layer and Homebrew/Macports, but hey. Being able to even run nodejs or php with its thousands of files natively would be a gamechanger in performance.
Re: Apple M3 Ultra
#210Earlier quoted context omitted.
You're comparing two different things. The compute level you’re talking about on the M3 Ultra is the neural engine. Not including the GPU. I expect the GPU here will be behind a 5090 for compute but not by the unrelated numbers you’re quoting. After all, the 5090 alone is multiple times the wattage of this SoC.
> After all, the 5090 alone is multiple times the wattage of this SoC. FWIW, normalizing the wattages (or even underclocking the GPU) will still give you an Nvidia advantage most days. Apple's GPU designs are closer to AMD's designs than Nvidia's, which means they omit a lot of AI accelerators to focus on a less-LLM-relevent raster performance figure. Yes, the GPU is faster than the NPU. But Apple's GPU designs haven…
5090 is 575W without the CPU.
You’d have to cut the Nvidia to a quarter and then find a comparable CPU to normalize the wattage for an actual comparison.
I agree that Apple GPUs aren’t putting the dedicated GPU companies in danger on the benchmarks, but they’re also not really targeting it? They’re in completely different zones on too many fronts to really compare.