Intel’s Lunar Lake CPUs may be coming sooner than you think – and that’s great news
A new report may have revealed the launch date of the Intel Lunar Lake chips for both desktops and laptops, which is expected to be between September 17 and 24, 2024. If this report is to be believed, it puts the launch just ahead of the Intel Innovation Event, which takes place on September 24 and 25.
The report, which comes from Lifespan (reported by Kitguru), also claims that the Core Ultra 200K ‘Arrow Lake-S’ will be available about a month later, along with the release of the first Z890 motherboards. However, the Core Ultra 200 non-K chips should launch in early 2025, along with the B860 and H810 motherboards, and will likely be unveiled at CES 2025.
This report coincides with official news from Intel CEO Pat Gelsinger’s Computex 2024 keynote that the Lunar Lake series would be released sometime in late 2024. This means that we will equip AI PCs with the new chips around the holidays.
The competition is heating up
What makes these launches of Lunar Lake and Arrow Lake particularly interesting is that they almost match the launches of AMD’s Strix Point and Ryzen 9000 CPUs and Nvidia’s next-generation GeForce graphics cards. We’ll see some really high-profile releases this year, which tie in perfectly with the arrival of AI PCs.
Of course, Qualcomm’s Snapdragon X Elite chips have already started launching with AI PCs, adding another competitor to the mix. With so many players emerging, I look forward to seeing them compete for market share. It’s honestly time for a big shake-up, and the results should mean that these tech giants continue to innovate and deliver the best products to us.
It already seems that way Intel is confident of its upcoming victory into the CPU market through Qualcomm, as it has been stated several times that the Lunar Lake will surpass Snapdragon. It claims it will deliver 1.4x faster AI performance than the Snapdragon X Elite, while consuming 20% less power. It also points out that the NPU – Neural Processing Unit for AI acceleration – will achieve 45 TOPS (trillions of operations per second), and the GPU will deliver 60 TOPS.
While my money is on Qualcomm, since so many manufacturers have equipped their AI PCs with Snapdragon chips, and this shows the most promise in balancing performance and battery life, I’ll keep my eyes peeled to see which one comes out on top comes eventually.