Woot! has
Apple Mac Studio M1 Max (2022 Model) (Silver) on sale listed below.
Shipping is free for Amazon Prime Members (
must login with your Amazon account and select a shipping address in order for Woot to apply free shipping) or is otherwise $6 per order.
Thanks to community member
Dr.W for finding this deal
Note, product will be sold by Woot! and fulfilled by Amazon
Use the drop down menu to select the product condition
Available Option(s)
Specs/Key Features- Apple M1 Max Chip (10-Core GPU/24-Core GPU)
- 512GB Solid State Drive SSD
- 32GB Unified Memory
- Built-In Speaker/HDMI Display Video Output
- WiFi 6 w/ Bluetooth 5.0
- Nbase-T Ethernet
- Compact Design
- Inputs
- Front
- 2x USB-C (Up to 10Gb/s)
- SDXC Card Slot (UHS-II)
- Rear
- 4x Thunderbolt 4 (Up to 40Gb/s)
- 2x USB-A (Up to 5Gb/s)
- DisplayPort
- USB 4 (Up to 40GB/s)
- USB 3.1 Gen 2 (Up to 10Gb/s)
- HDMI
- 10Gb Ethernet
Warranty- Includes a 90-day Woot limited warranty w/ purchase [Details]
Top Comments
More powerful Apple M1 Max GPU (32-core) integrated graphics: 10.6 vs 4.4 TFLOPS of m4
If you use:
Multiple high refresh monitors
A lot of peripherals that need full lane speeds (TB4 or TB5 for newer models) like an external SSD
Hardwire ethernet with a 1gbe+ connection
Need the extra RAM with less 'Apple Tax' of a newer model
Want to game (yes really)
Then this deal, along with the M2 Max studio for $899 that was posted a few weeks ago... are great deals. If you don't actually have a pro workflow , this is a waste - get a modern M4 chip device.
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55 Comments
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Today, Apple's minimum memory configuration is 16 GB, but the 8GB machines still work just fine. It's not the OS but the nature of the software you use and how you use it.
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https://www.cpubenchmark.net/comp...M4-10-Core [cpubenchmark.net]
Not to mention, the M4 will get 3 more years of OS / Patches compared to M1.
any known issues?
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Here's a comparison between M1 and M1 Max:
| Feature | M1 | M1 Max |
|---------|--------|------------|
| CPU Cores | 8 (4 performance + 4 efficiency) | 10 (8 performance + 2 efficiency) |
| GPU Cores | 7 or 8 | 24 or 32 |
| Neural Engine | 16 cores | 16 cores |
| RAM Type | LPDDR4X unified memory | LPDDR5 unified memory |
| Max RAM | 16 GB | 64 GB |
| Memory Bandwidth | 68 GB/s | 400 GB/s |
| Transistor Count | 16 billion | 57 billion |
| Process Node | 5 nm | 5 nm |
| Target Devices | MacBook Air, 13" MacBook Pro, Mac mini, iMac 24" | MacBook Pro 14"/16", Mac Studio |
| Performance Focus | Power efficiency and balanced performance | High-end GPU and memory bandwidth for intensive creative workloads |
| Ideal For | Everyday computing, light creative work, coding, photo editing | 3D rendering, 8K video editing, scientific computing, heavy multitasking |
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AI Overview
Yes, you're essentially correct that on Apple Silicon Macs, a portion of the unified memory is utilized by the GPU, and this allocation is dynamic and managed by the operating system, rather than being a manually configurable setting like dedicated VRAM in traditional systems
.
However, your assertion that exactly 12 GB of RAM will always be inaccessible on machines with 36 GB or 48 GB is a bit of an oversimplification.
Here's a more nuanced explanation
Unified Memory: Apple Silicon Macs utilize a unified memory architecture, where the CPU and GPU share the same pool of high-bandwidth memory. This design eliminates the need for data copying between separate memory pools, leading to improved efficiency and performance.
Dynamic Allocation: The amount of unified memory used by the GPU is dynamic and adjusted by macOS based on the demands of the applications and tasks being run. This means that the GPU can utilize a larger portion of the unified memory when performing graphics-intensive tasks, and a smaller portion when such tasks are not in progress.
"Unavailable" is not a fixed amount: While there isn't a fixed amount of "unavailable" RAM, the operating system does set a recommended maximum amount of unified memory that the GPU can use for graphics and compute tasks. This maximum is typically around 75% of the total memory.
Example: On a system with 48 GB of RAM, the recommended maximum for GPU usage would be around 36 GB (75% of 48 GB). The remaining 12 GB is primarily for the macOS and CPU-related tasks, but this 12 GB is not entirely inaccessible to the GPU. If needed, the GPU could technically utilize more than the recommended maximum, but it might lead to memory pressure and performance degradation.
No user control: You cannot manually adjust the amount of unified memory allocated to the GPU, according to Apple Discussions.
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