郭明錤 (Ming-Chi Kuo) Nov 5, 2024
Intel has recently announced that after Lunar Lake (LNL), it will discontinue integrating DRAM into CPU packaging. While this news has caught public attention recently, people working in the PC industry have known for at least six months — according to Intel’s roadmap, upcoming products like Arrow Lake, Nova Lake, Raptor Lake refresh, Twin Lake, Panther Lake, and Wildcat Lake will not follow LNL’s packaging approach.
Two main motivations drove the LNL project:
1. Competing with Apple Silicon: Following the rise in MacBook market share thanks to Apple Silicon, Intel aimed to prove that the x86 architecture could achieve similar performance and battery life.
2. Responding to Microsoft’s Move: Intel learned Microsoft’s new Surface lineup (2Q24) would use Qualcomm chips with 45 TOPS of AI computing power, so Intel planned to launch a competing product to counter this.
To achieve the above goals, LNL made three key decisions:
1. Integrating DRAM into the package.
2. Specifying certain components, such as designating Renesas as the exclusive supplier of power management chips.
3. Boosting NPU computing power to 48 TOPS, slightly above Qualcomm’s X Elite/Plus at 45 TOPS.
Notably, among Intel’s 2024–2025 processors, only LNL exceeds Microsoft’s defined AI PC requirement of 40 TOPS. This seemingly unusual spec planning was because LNL was positioned to compete with Qualcomm. However, Intel likely didn’t know Microsoft would set the AI PC requirements of 40 TOPS.
Interestingly, this unusual LNL specification became a brief marketing advantage for Intel this year, giving them at least one positive story — their AI PC solution — amid a stream of negative news. But this was pure luck. If Intel had learned about Microsoft’s 40 TOPS requirement earlier, they wouldn’t have planned Arrow Lake with only 36 TOPS total — less than the AI PC requirement and LNL’s 48 TOPS.
Intel claims LNL failed because integrated memory hurt their gross margins, but the real story is different:
1. PC manufacturers weren’t interested because they lost flexibility in choosing components, which hurt profits.
2. The cost structure is unfavorable because Intel’s bargaining power for DRAM supply is much lower than Apple’s, and it must rely on TSMC’s production.
3. Customers don’t want to pay more for LNL because AI PC applications are immature.
LNL’s failure indicates that Intel’s challenges extend beyond foundry technology limitations. The company’s deeper issues lie in product planning, as also evidenced by AMD’s continued gains in the conventional server market. While manufacturing technology gaps often dominate discussions, Intel’s fundamental challenge might be organizational, leading to flawed product decisions.
Intel has recently announced that after Lunar Lake (LNL), it will discontinue integrating DRAM into CPU packaging. While this news has caught public attention recently, people working in the PC industry have known for at least six months — according to Intel’s roadmap, upcoming products like Arrow Lake, Nova Lake, Raptor Lake refresh, Twin Lake, Panther Lake, and Wildcat Lake will not follow LNL’s packaging approach.
Two main motivations drove the LNL project:
1. Competing with Apple Silicon: Following the rise in MacBook market share thanks to Apple Silicon, Intel aimed to prove that the x86 architecture could achieve similar performance and battery life.
2. Responding to Microsoft’s Move: Intel learned Microsoft’s new Surface lineup (2Q24) would use Qualcomm chips with 45 TOPS of AI computing power, so Intel planned to launch a competing product to counter this.
To achieve the above goals, LNL made three key decisions:
1. Integrating DRAM into the package.
2. Specifying certain components, such as designating Renesas as the exclusive supplier of power management chips.
3. Boosting NPU computing power to 48 TOPS, slightly above Qualcomm’s X Elite/Plus at 45 TOPS.
Notably, among Intel’s 2024–2025 processors, only LNL exceeds Microsoft’s defined AI PC requirement of 40 TOPS. This seemingly unusual spec planning was because LNL was positioned to compete with Qualcomm. However, Intel likely didn’t know Microsoft would set the AI PC requirements of 40 TOPS.
Interestingly, this unusual LNL specification became a brief marketing advantage for Intel this year, giving them at least one positive story — their AI PC solution — amid a stream of negative news. But this was pure luck. If Intel had learned about Microsoft’s 40 TOPS requirement earlier, they wouldn’t have planned Arrow Lake with only 36 TOPS total — less than the AI PC requirement and LNL’s 48 TOPS.
Intel claims LNL failed because integrated memory hurt their gross margins, but the real story is different:
1. PC manufacturers weren’t interested because they lost flexibility in choosing components, which hurt profits.
2. The cost structure is unfavorable because Intel’s bargaining power for DRAM supply is much lower than Apple’s, and it must rely on TSMC’s production.
3. Customers don’t want to pay more for LNL because AI PC applications are immature.
LNL’s failure indicates that Intel’s challenges extend beyond foundry technology limitations. The company’s deeper issues lie in product planning, as also evidenced by AMD’s continued gains in the conventional server market. While manufacturing technology gaps often dominate discussions, Intel’s fundamental challenge might be organizational, leading to flawed product decisions.
Inside Intel’s Lunar Lake: A Promise That Became a Problem
Intel has recently announced that after Lunar Lake (LNL), it will discontinue integrating DRAM into CPU packaging. While this news has…
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