expired
Costco Members: Apple Mac Mini Desktop w/ M2 Pro Chip, 16GB RAM, 512GB SSD
$1,100
$1,299
15% off
+ Free Shippingat Costco Wholesale
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+ Free Shippingat Costco WholesaleDeal Details
Costco Wholesale has for their Members: Apple Mac Mini Desktop Computer w/ M2 Pro Chip (MNH73LL/A; Silver) on sale for $1099.99. Shipping is free.
Thanks to Community Member mstgkillr for finding this deal
Specs/Key Features:
Thanks to Community Member mstgkillr for finding this deal
Specs/Key Features:
- Apple M2 Pro Chip 10-Core CPU
- 16-Core GPU
- 16-Core Neural Engine
- 512GB Solid State Drive SSD
- 16GB Unified RAM/Memory
- Wi-Fi 6E (802.11ax) + Bluetooth 5.3
- 7.7" Ultracompact Design
- Mac OS Ventura
- Ports:
- 4x Thunderbolt 4
- 2x USB-A 3.1 Gen 1
- 1x HDMI
- 1x Gigabit/10Gb Ethernet
- 1x Headphone jack
- Ports:
Editor's Notes
Written by SubZero5 | Staff- About this Deal:
- This matches the previous +41 Frontpage Deal from May.
- Valid 11/13/23 through 11/27/23. While supplies last. Limit 2 per member.
- Get 1%-5% cash back on deals like this with a cash back credit card. Compare the available cash back credit cards here.
- If you don't have a Costco Warehouse Membership, you can sign-up here
- Please refer to the forum thread for additional details and discussion.
Community Notes
About the Poster
Deal Details
Community Notes
About the Poster
Costco Wholesale has for their Members: Apple Mac Mini Desktop Computer w/ M2 Pro Chip (MNH73LL/A; Silver) on sale for $1099.99. Shipping is free.
Thanks to Community Member mstgkillr for finding this deal
Specs/Key Features:
Thanks to Community Member mstgkillr for finding this deal
Specs/Key Features:
- Apple M2 Pro Chip 10-Core CPU
- 16-Core GPU
- 16-Core Neural Engine
- 512GB Solid State Drive SSD
- 16GB Unified RAM/Memory
- Wi-Fi 6E (802.11ax) + Bluetooth 5.3
- 7.7" Ultracompact Design
- Mac OS Ventura
- Ports:
- 4x Thunderbolt 4
- 2x USB-A 3.1 Gen 1
- 1x HDMI
- 1x Gigabit/10Gb Ethernet
- 1x Headphone jack
- Ports:
Editor's Notes
Written by SubZero5 | Staff- About this Deal:
- This matches the previous +41 Frontpage Deal from May.
- Valid 11/13/23 through 11/27/23. While supplies last. Limit 2 per member.
- Get 1%-5% cash back on deals like this with a cash back credit card. Compare the available cash back credit cards here.
- If you don't have a Costco Warehouse Membership, you can sign-up here
- Please refer to the forum thread for additional details and discussion.
Community Voting
Deal
Score
+33
Good Deal
Bad Deal
Top Comments
Mac mini (2023) with M2 Pro chip supports up to three external displays simultaneously, depending on the resolution (up to 8K) and refresh rate (up to 240Hz) of each external display.
One external display
Supports one external display in any one of these configurations:
One display up to 8K at 60Hz (or 4K at 240Hz) over HDMI
One display up to 6K at 60Hz over Thunderbolt
Two external displays
Supports two external displays in any one of these configurations:
Two displays up to 6K at 60Hz over Thunderbolt
One display up to 6K at 60Hz over Thunderbolt, and one display up to 4K at 144Hz over HDMI
Three external displays
Supports three external displays in this configuration:
Two displays up to 6K at 60Hz over Thunderbolt, and one display up to 4K at 60Hz over HDMI
Here's an article that explains how that works:
https://www.trustedrevi
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60 Comments
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Here's an article that explains how that works:
https://www.trustedrevi
Our community has rated this post as helpful. If you agree, why not thank
https://www.makeuseof.c
I wouldn't really buy into the marketing that 8GB is enough in 2023 but the software does allow for more efficient use of memory so you can't compare it to windows or even linux directly.
Our community has rated this post as helpful. If you agree, why not thank
Mac mini (2023) with M2 Pro chip supports up to three external displays simultaneously, depending on the resolution (up to 8K) and refresh rate (up to 240Hz) of each external display.
One external display
Supports one external display in any one of these configurations:
One display up to 8K at 60Hz (or 4K at 240Hz) over HDMI
One display up to 6K at 60Hz over Thunderbolt
Two external displays
Supports two external displays in any one of these configurations:
Two displays up to 6K at 60Hz over Thunderbolt
One display up to 6K at 60Hz over Thunderbolt, and one display up to 4K at 144Hz over HDMI
Three external displays
Supports three external displays in this configuration:
Two displays up to 6K at 60Hz over Thunderbolt, and one display up to 4K at 60Hz over HDMI
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And THIS is how you respond to someone.
So when folks say 8 GB is enough it is not unless you are using your mini as a chromebook or light duty and a few applications. I have this mac mini (16 GB) and with 4 applications open I am using 12 GB and it was also not fast enough for my transcoding and graphics pipeline so I had to dust off my old PC, put linux on it and buy an Intel ARC card which has two media engines in it.
The big difference in the regular vs pro is the media/graphics capabilities (among external monitor support) but even that cannot beat a $120 Intel ARC card because no Apple processor (even the m3) has hardware AV1 enc support and the media engines (Apple toolbox) still cannot hold a candle in 3D processing or transcoding as a $200-$300 GPU.
Apple's max processors (which are like 2 processors bolted together) are really super in both processing/graphics but those machines are quite pricy.
So you want to play a modern game that takes 12 Gig of VRAM on a 8GB mac, nope.
https://www.makeuseof.c
I wouldn't really buy into the marketing that 8GB is enough in 2023 but the software does allow for more efficient use of memory so you can't compare it to windows or even linux directly.
"Instead, the CPU and GPU cores can access the same memory from the same resource avoiding the needs for data to be communicated between different memory locations. The result is improved performance and efficiency."
which is no difference than what intel and AMD did for years for their integrated graphics, if one were to read from paragraph alone.
the performance gain of the unified memory largely came from the removal of the memory bus. in tradition system, memory is controlled by a system bus which is separated form CPU and GPU. the bus controller issues system interrupt when CPU needs data in memory or screen needs to be refreshed, which also pauses other part of system while one task is performed. causing delay.
to eliminate buses and interrupts, RAM are build in to components such as GPU (so screen refresh doesn't require system bus anymore). apple silicon are similar in that sense that they don't have system bus, the memory is directly addressable from CPU and no interrupts is generated when CPU needs data from memory. also, due to elimination of system memory bus, the throughput of memory can be improved.
while the article did mention about "access the same memory from the same resource avoiding the needs for data to be communicated between different memory locations". this is not a common work load. There are unique applications that can utilize this feature IF that application requires both CPU and GPU to address the same set of large data in memory, but that's quite a unique set of application. for instance... say you process deep learning which the GPU is great at because at because the problem is massive amount of simple vector calculation. you would normally need to use CPU and CPU memory to prep the data, and copy that data to GPU's memory (CUDA for example), and then do calculation with GPU, and copy that information from GPU memory and back to the CPU memory. unified memory help you to avoid coping process by allowing GPU and CPU to address the same block of memory.
but in most other type of work, GPU and CPU don't NEED to process the same type of data in volume large enough for copy process to become an issue.
"Instead, the CPU and GPU cores can access the same memory from the same resource avoiding the needs for data to be communicated between different memory locations. The result is improved performance and efficiency."
which is no difference than what intel and AMD did for years for their integrated graphics, if one were to read from paragraph alone.
the performance gain of the unified memory largely came from the removal of the memory bus. in tradition system, memory is controlled by a system bus which is separated form CPU and GPU. the bus controller issues system interrupt when CPU needs data in memory or screen needs to be refreshed, which also pauses other part of system while one task is performed. causing delay.
to eliminate buses and interrupts, RAM are build in to components such as GPU (so screen refresh doesn't require system bus anymore). apple silicon are similar in that sense that they don't have system bus, the memory is directly addressable from CPU and no interrupts is generated when CPU needs data from memory. also, due to elimination of system memory bus, the throughput of memory can be improved.
while the article did mention about "access the same memory from the same resource avoiding the needs for data to be communicated between different memory locations". this is not a common work load. There are unique applications that can utilize this feature IF that application requires both CPU and GPU to address the same set of large data in memory, but that's quite a unique set of application. for instance... say you process deep learning which the GPU is great at because at because the problem is massive amount of simple vector calculation. you would normally need to use CPU and CPU memory to prep the data, and copy that data to GPU's memory (CUDA for example), and then do calculation with GPU, and copy that information from GPU memory and back to the CPU memory. unified memory help you to avoid coping process by allowing GPU and CPU to address the same block of memory.
but in most other type of work, GPU and CPU don't NEED to process the same type of data in volume large enough for copy process to become an issue.
My personal points
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My personal points
https://news.skhynix.co
I have read some articles on the Mac being able to take advantage of what would normally be considered "vram" and copy into RAM but this is not normal to share GPU and gen memory pages and I do not know the capabilities of the neural engine w/ tensor or LLM, but I don't think that is their main focus. What we can probably agree is that Apple grossly overpriced relative commodity RAM and SSD at least 10-20x, soldiered them on to make them e-waste, and then uses a lot of marketing terms about sustainability when they are the furthest thing from it.
For me the Apple mobile solutions are superior by far so I paid the extra bucks for the m1pro and the performance and battery life are #1. First modern laptop I have ever loved (outside of the old IBM tanks). As to the mac mini m2pro I also bought an intel 12650H mini PC for $400 that is just as fast as it and expandable so it is debatable on the performance benefit there--in a PC format. The Intel ME is fast so I pipeline that in Linux for certain apps w/ automation. That is not average user stuff, so I see the allure of a nice Apple cube.
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