Real pros don’t give a crap about gaming…unless you are developing games, in that case this machine is up to the taskWhat about gaming?
Real pros don’t give a crap about gaming…unless you are developing games, in that case this machine is up to the taskWhat about gaming?
They’re not only in line - they’re very cheap compared what you’d pay for a comparable (of course there really isn’t anything comparable) Windows computer. These are not meant for hobbyist “graphics designers”, “video editors” and “app developers”. They’re true professional grade workstations meant to be invested in by companies that make a ton of money off these. And they’re highly scalable and upgradable, giving companies a high degree (as high as you can get from a computer, but still) if investment security for years.
I can see this Mac lasting me 10 years or more. Even at 11k for a base model and display, it would be a steal to get that much use out of it.
I am excited too but the prices are really out of this world even for professionals. wow, what a shame.
I kind of don't get why everyone is so surprised here. A good counterbalanced monitor arm costs $600+ from any good manufacturer. So add in the Apple-tax and whatnot, and you've got yourself a $1000 monitor stand.
Sure you can get a piece of crud metal tube and plastic mount for $50, but it won't be balanced or any good.
I guess it would be nice they if threw in a crappy plastic stand for free with the monitor itself, but why bother as nobody buying a $5000 monitor will use it and it's just plastic that will be thrown into the trash.
I think Mac Pro's target are either creative types (video, audio, photography) or medical or research.I am excited too but the prices are really out of this world even for professionals. wow, what a shame.
My point is that they could have a lower spec entry machine at lower price. Maybe 4 core, 512GB and 32RAM.The prices are not out of line for me at all. If you need this kind of power, this is what it costs. I had no issue buying a maxed-out iMac Pro when it came out and it has served me well.
By focusing on Nvidia you are focusing more on HOW the problem is solved more so than IS the problem solved.
The new Mac Pro might be useful for audio/video editing, but it's an expensive doorstop for those of us working in AI/deep learning. The only usable GPUs for deep learning are from Nvidia at this time. I just built my own awesome Linux workstation for < $10k, including NVIDIA Titan RTX GPUs.So far, I have yet to see any mention or acknowledgement that we can use Nvidia cards in the new Mac Pro. Until his happens, this machine will not sell well. I like the direction it's going, but when you tell your customers that you can't use the GPU you prefer, your customers become someone else's customers.
This may be true for the use case of "processing multiple 8K video streams in real time", but that's just one problem. There's another large pro market of people who do machine learning work. Nvidia is the only commercially-available GPU viable for a large class of machine learning problems; it has hardware features unmatched elsewhere, along with software libraries (PyTorch and Tensorflow) that currently only work on Nvidia.Apple has presented a solution to problem, that problem being processing multiple 8K video streams in real time. By focusing on Nvidia you are focusing more on HOW the problem is solved more so than IS the problem solved. Apple has rarely given its users as much choice as they like, this is nothing new. I doubt that Nvidia not being used will have anything to do with how well this sells.
This looks like a beast of a product so far. The people that might pay $30,000 don't really care who made the video card, professionals only care about things like performance, cost and reliability.
The new Mac Pro might be useful for audio/video editing, but it's an expensive doorstop for those of us working in AI/deep learning. The only usable GPUs for deep learning are from Nvidia at this time. I just built my own awesome Linux workstation for < $10k, including NVIDIA Titan RTX GPUs.
Apple cutting support for both CUDA and OpenCL meant that I switched immediately from Apple to Linux, and the new Mac Pro doesn't solve the issue; I can load it up with 4 GPUs but they are completely useless for my code. OS X is now crippled by requiring use of its proprietary Metal framework that simply doesn't work for state-of-the-art machine learning.
[doublepost=1559610054][/doublepost]
This may be true for the use case of "processing multiple 8K video streams in real time", but that's just one problem. There's another large pro market of people who do machine learning work. Nvidia is the only commercially-available GPU viable for a large class of machine learning problems; it has hardware features unmatched elsewhere, along with software libraries (PyTorch and Tensorflow) that currently only work on Nvidia.
The GPUs in the Mac Pro simply can't run my machine learning code.
Video-processing may work across a variety of GPU manufacturers, but for better or worse Nvidia is the only game in town for deep learning, so Apple has decided that it doesn't one any of us in the deep learning field to be its customers.
I switched to Mac around 10 years ago due to its developer/research-friendly OS. I stopped using Mac last year when Apple became hostile to those of us in the scientific/AI community. (And as an aside, they also dropped "Pro" support from their laptop line by introducing a broken keyboard that is also missing the "escape" key that I use so much while coding. So I can't even use the "pro" laptop easily as an SSH dumb terminal.)
The new Mac Pro is completely useless to me for my work.
Tensorflow Is coming to metal using MPS.
They’re not only in line - they’re very cheap compared what you’d pay for a comparable (of course there really isn’t anything comparable) Windows computer. These are not meant for hobbyist “graphics designers”, “video editors” and “app developers”. They’re true professional grade workstations meant to be invested in by companies that make a ton of money off these. And they’re highly scalable and upgradable, giving companies a high degree (as high as you can get from a computer, but still) if investment security for years.
They’re not only in line - they’re very cheap compared what you’d pay for a comparable (of course there really isn’t anything comparable) Windows computer....
Happy to see 2 SSD slots! Hopefully they’re standard M.2 NVMe.
My point is that they could have a lower spec entry machine at lower price. Maybe 4 core, 512GB and 32RAM.
The entry level price point is too high. While it might be in par with the specs (taking out the ridiculous 32GB Ram and 256GB storage) it just won't reach the mass appeal that could generate with a lots of Pros that do not want to invest so high on a Mac that offers expandability.
Well thank you for your input. When I need your advice on how I use my machines, I’ll be sure to look you up.
In the meantime, you stick with your knitting and mind your own.