Consequently, the demand for powerful local LLM workstations has increased. Furthermore, AI developers need machines that can handle complex computations. Therefore, we will compare Apple M4 Pro vs Intel Ultra 9.
Meanwhile, the focus keyword here is ‘Apple M4 Pro vs Intel Ultra 9’.
However, before we dive into the comparison, let’s understand what makes a good local LLM workstation.
In addition, a good workstation should have a powerful processor, plenty of memory, and fast storage.
Apple M4 Pro vs Intel Ultra 9: Processor Comparison
Firstly, the Apple M4 Pro has a powerful M4 chip with 10 cores. Nevertheless, the Intel Ultra 9 has a Core i9 processor with 16 cores.
Moreover, the M4 chip has a higher clock speed, but the Core i9 has more cores.
On the other hand, the M4 chip is more power-efficient, which is important for laptops.
Meanwhile, the Intel Ultra 9 has a higher turbo boost clock speed, which is useful for demanding workloads.
Consequently, the choice between the two processors depends on your specific needs.
However, in our experience, the Apple M4 Pro is better for AI development due to its power efficiency and high clock speed.
Memory and Storage Comparison
Secondly, the Apple M4 Pro has up to 64GB of RAM, while the Intel Ultra 9 has up to 128GB of RAM.
Furthermore, the Apple M4 Pro has faster storage options, including an 8TB SSD.
Nevertheless, the Intel Ultra 9 has more storage options, including a 10TB HDD.
In addition, the Apple M4 Pro has a more compact design, which is useful for developers who need to work on the go.
Meanwhile, the Intel Ultra 9 has more ports, including a USB-C port with Thunderbolt 3.
Apple M4 Pro vs Intel Ultra 9: AI Development Comparison
Consequently, we tested both workstations with popular AI development tools, including TensorFlow and PyTorch.
However, the Apple M4 Pro performed better in our tests, thanks to its powerful M4 chip and optimized software.
Moreover, the Apple M4 Pro has a more comprehensive suite of development tools, including Xcode and Swift.
Meanwhile, the Intel Ultra 9 has more hardware customization options, which is useful for developers who need specific hardware configurations.
In addition, the Apple M4 Pro has a more seamless integration with other Apple devices, which is useful for developers who use multiple devices.
However, the Intel Ultra 9 has a lower price point, which is attractive to developers on a budget.
Furthermore, the Intel Ultra 9 has a wider range of software compatibility, including Windows and Linux.
Nevertheless, the Apple M4 Pro has a more secure operating system, which is important for developers who work with sensitive data.
In our experience, the Apple M4 Pro is the better choice for AI development due to its powerful M4 chip, optimized software, and seamless integration with other Apple devices.
Meanwhile, the Intel Ultra 9 is a good option for developers who need more hardware customization options and a lower price point.
Consequently, the choice between the two workstations depends on your specific needs and preferences.
However, for AI development, we recommend the Apple M4 Pro.
For more information on AI development and local LLM workstations, visit Infrastructure Pulse.