![artificial academy 3 news artificial academy 3 news](http://english.ioe.cas.cn/ns/Sciencenews/201909/W020190930558810766937.jpg)
![artificial academy 3 news artificial academy 3 news](https://gamingdebates.com/wp-content/uploads/2021/01/artificial-academy-2-download-pc-g.png)
Not surprisingly, the demand for data center accelerators can shoot substantially higher in the future. According to SK Hynix, hyperscale data center deployments are expected to hit 1,060 by 2025, which would be double the current installed base. More importantly, AI applications, such as the metaverse and self-driving cars, are expected to increase the deployment of HPC data centers, thanks to their ability to address data-intensive workloads. That figure could head higher in the coming years as Meta CEO Mark Zuckerberg had pointed out on the October earnings conference call. This win could be a big deal for AMD as Meta is expected to invest $10 billion to boost its metaverse capabilities this year. Meta Platforms, for instance, recently selected AMD's EPYC processors for use in its hyperscale data centers that would be used to power up the former's metaverse - a virtual environment where people can interact with each other like they do in the real world. Not surprisingly, AMD has been witnessing strong growth in the adoption of its server processors and GPUs. Similarly, AMD's third-generation EPYC server processors have improved AI inferencing capabilities over their predecessors.
Artificial academy 3 news series#
The chipmaker recently revealed the Instinct MI200 series of data center accelerators that are based on the CDNA 2 architecture, claiming that these chips are 4.9 times faster while carrying out high-performance computing (HPC) and AI operations, as compared to competing data center accelerators. That's because the deep neural networks that power AI applications, such as self-driving cars or other real-time applications, should be able to carry out hundreds of thousands, millions, or even billions of operations in order to recognize various objects and react to them properly.ĪMD's chips help data centers and supercomputers tackle the massive workload that's required to enable AI applications. Advanced Micro DevicesĪMD's EPYC server processors and data center graphics processing units (GPUs) are going to play a critical role in the adoption of AI applications. The fact that Apple is trading at 28 times earnings, as compared to the Nasdaq 100's earnings multiple of 36, means that investors can get into this potential AI winner at an attractive valuation right now. According to third-party estimates, the global autonomous-vehicle market is expected to clock an annual growth rate of 63% through 2030, with most of that growth coming from North America.Īpple's move into this space could turn out to be a smart move in the long run and become a major catalyst for the company that's currently taking advantage of another hot trend in the form of 5G smartphones. Morgan Stanley analyst Katy Huberty said she believes that the entry into the self-driving car space could help Apple double its revenue and market capitalization in the long run. Wall Street seems excited about Apple's foray into autonomous electric vehicles. It's worth noting that Apple has a fleet of 69 test cars that are expected to be powered by its latest self-driving technology and help the company hone its autonomous driving system in the real world. The company has reportedly completed most of the core development of the processor that will be powering its self-driving system.Īpple's self-driving car chip will be based on neural processors that will allow its cars to operate on their own. Third-party reports indicate that Apple is aiming to deliver an electric-powered self-driving vehicle in the next four years. However, Apple seems to be making a bigger push into AI as it's reportedly working on a fully autonomous electric vehicle. The tech giant has already incorporated AI-powered features into its hardware devices, such as Face ID, map suggestions, handwriting recognition, and the Siri digital assistant, among many others. These product lines produced nearly 78% of Apple's revenue in the fourth quarter of fiscal 2021, with the services business accounting for the rest. Apple gets most of its revenue from selling hardware products such as the iPhone, the iPad, MacBooks, wearables, smart-home devices, and other accessories.