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Technology
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Apple Introduces Exclusive AI Features for Newest Devices


 

Apple's WWDC 2023 brought exciting news for tech enthusiasts: the introduction of Apple Intelligence, a groundbreaking AI system. However, if you're eager to try out these new features, you'll need the latest devices.

Apple Intelligence features will be exclusively available on the iPhone 15 Pro and iPhone 15 Pro Max, equipped with the A17 Pro chip. These models are the only iPhones currently confirmed to support these advanced AI capabilities, suggesting that future models like the anticipated iPhone 16 Pro might also include these features. This exclusivity highlights Apple’s strategy to incentivize users to upgrade to their latest hardware to access the most advanced functionalities.


Compatibility Across iPads and Macs

The AI features are not confined to iPhones. Apple Intelligence will also be accessible on several iPad and Mac models, specifically those with an M1 chip or newer. The list of compatible devices includes:

- iPad Pro and iPad Air (M1 and newer)

- MacBook Pro (M1 and newer)

- MacBook Air (M1 and newer)

- iMac (M1 and newer)

- Mac mini (M1 and newer)

- Mac Pro (M2 Ultra and newer)

- Mac Studio (M1 Max and newer)

Apple plans to offer AI features through cloud processing for those with older devices. However, this method will limit the on-device functionality compared to what’s available on newer chipsets, reinforcing the superior performance of the latest models.

Benefits and Features of Apple Intelligence

Apple Intelligence is a sophisticated personal intelligence system designed to enhance user experience across iPhone, iPad, and Mac. Integrated into iOS 18, iPadOS 18, and macOS Sequoia, it combines generative models with personal context to offer highly tailored and efficient intelligence. This system can understand and generate both language and images, perform actions across various apps, and use personal context to streamline daily tasks. Examples include suggesting replies in messages, organizing photos, and assisting in drafting documents based on user habits and preferences.

One of the standout features of Apple Intelligence is Private Cloud Compute. This technology balances on-device processing and powerful server-based models, running on dedicated Apple Silicon servers. This approach allows Apple to maintain robust performance while upholding its strict privacy standards. By splitting computational tasks between the device and the server, Apple ensures user privacy is never compromised, even when leveraging extensive server-based computations.

To fully experience the capabilities of Apple Intelligence, users will need to upgrade to the iPhone 15 Pro or iPhone 15 Pro Max. While some AI features will be available on older devices through cloud processing, the most advanced capabilities will be reserved for those with the latest hardware. This move by Apple emphasises its commitment to pushing the boundaries of technology while maintaining its renowned privacy standards.


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Technology
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AI Enables the Return of Private Cloud

 

Private cloud providers may be among the primary winners of today's generative AI gold rush, as CIOs are reconsidering private clouds, whether on-premises or hosted by a partner, after previously dismissing them in favour of public clouds. 

At the heart of this trend is a growing recognition that in order to handle AI workloads while keeping costs under control, organisations will eventually rely on a hybrid mix of public and private cloud. 

"With how fast things are changing in the data and cloud space, we believe in a hybrid model of cloud and data centre strategy," claims Jim Stathopoulos, SVP and CIO of Sun Country Airlines, who joined the regional airline from United Airlines in early 2023 and acquired a Microsoft Azure cloud infrastructure and Databricks AI platform, but is open to future IT decisions.

Controlling escalating cloud and AI expenses and minimising data leakage are the primary reasons why organisations are considering hybrid infrastructure as their AI solution. Most experts agree that most IT leaders will need to choose a hybrid approach that includes on-premises or co-located private clouds to provide cost control and data integrity in the face of AI's resource requirements and critical business concerns about its deployment. 

According to IDC's top cloud analyst, Dave McCarthy, private cloud platforms such as Dell APEX and HPE GreenLake, which provide generative AI capabilities, as well as co-locating with partners such as Equinix to host workloads in private clouds, could provide a solution to enterprise customers. 

“The excitement and related fears surrounding AI only reinforces the need for private clouds. Enterprises need to ensure that private corporate data does not find itself inside a public AI model,” McCarthy notes. “CIOs are working through how to leverage the most of what LLMs can provide in the public cloud while retaining sensitive data in private clouds that they control.” 

Generative AI changes the cloud calculus 

Somerset Capital Group is one company that has chosen to go private to run its ERP software and pave the path for generative AI. The Milford, Conn.-based financial services corporation moved data to the public cloud over a decade ago and will continue to add workloads, particularly for customer-centric apps. Somerset's EVP and CIO, Andrew Cotter, believes that the company's important data, as well as any future generative AI data, will most likely run on its new hosted private cloud. 

"As we are testing and dipping our toes in the water with AI, we are choosing to keep that as private as possible," he says, noting that while the public cloud provides the horsepower needed for many LLMs today, his firm has the option of adding GPUs if needed via its privately owned Dell equipment. "You don't want to make a mistake and have it ingested or used in another model. We're maintaining tight control and storing it in the private cloud." 

Todd Scott, senior vice president of Kyndryl US, recognises that AI and cost are important drivers driving organisations to private clouds. 

Buying into the private cloud

Analysts believe that private cloud spending is on rise. According to Forrester's Infrastructure Cloud Survey in 2023, 79% of the almost 1,300 enterprise cloud decision-makers polled claimed their companies are developing internal private clouds that will include virtualization and private cloud management. Over a third (31%) of respondents are creating internal private clouds employing hybrid cloud management technologies such as software-defined storage and API-consistent hardware to make the private cloud more similar to the public cloud, Forrester added.

IDC predicts that global spending on private, dedicated cloud services, which comprise hosted private cloud and dedicated cloud infrastructure as a service, would reach $20.4 billion in 2024 and more than double by 2027. According to IDC, global spending on enterprise private cloud infrastructure, which includes hardware, software, and support services, will reach $51.8 billion in 2024 and $66.4 billion in 2027. 

While those figures pale in comparison to the public cloud's projected $815.7 billion in 2024, IDC's McCarthy views hybrid cloud architecture as the future for most organisations in this space. According to McCarthy, the introduction of turnkey private cloud products from HPE and Dell provides customers with a private cloud that can be run on-premises or in a co-location facility that offers managed services. Private clouds may also help organisations better control their overall cloud costs, but he emphasises that both have benefits as well as drawbacks. 

“Enterprises are in a bit of a pickle with this,” McCarthy added. “Security concerns are what is driving them to private cloud, but the specialised hardware required to do large-scale AI is expensive and requires extensive power and cooling. This is a problem that companies like Equinix believe they can help solve, by allowing enterprises to build a private cloud in Equinix datacenters that are already equipped to handle this type of infrastructure.”
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