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DramaticCape retweeted
The Hemlok returns to its classic burst-fire mode in Season 31 ‼️
• Elite variant removed
DramaticCape retweeted
🎙️ NEW EPISODE: How Intel Took EMIB From Science Fiction to High Volume: Intel Foundry's Ravi Mahajan
Ravi Mahajan, a distinguished engineer at Intel Foundry, joins Austin to detail EMIB's 20-year journey from a "science fiction" concept to a high-volume manufacturing reality.
- Organic package wire escape density at the die edge improved only about 10% per generation, so EMIB puts fine-pitch silicon in small patches at the die edges and leaves power to the substrate's thick metal
- Production required five technologies to converge, including a custom 4-layer silicon process and dies half the thickness of an A4 sheet of paper
- HBM was the first driver. Solve the highest-performance memory interconnect and the technology can "waterfall down" to everything else
- The advantage over CoWoS is manufacturing scale. Small bridges replace a full-sized silicon interposer and its high cost and poor wafer utilization on large, multi-reticle AI packages
- EMIB-T was in the original patent, using TSVs to fix the "torturous" power path around the bridge
- EMIB is an Intel Foundry exclusive, and the roadmap includes top-side optics
This episode is presented by @CrusoeAI. Crusoe's Serverless Fine-Tuning trains an open model like Llama, DeepSeek, or GLM on your own data, and you pay per million tokens, not per GPU hour. About $2 buys roughly 5M training tokens on smaller models. Get $5 in credit to start: semidoped.com/crusoe-x
Chapters:
0:00 Intro: Ravi Mahajan
1:44 Pathfinding & The HIR Roadmap
7:58 The Two Drivers of EMIB
15:15 Decoupling I/O and Power
16:27 The 'Science Fiction' of EMIB
20:36 HBM as the Killer App
25:06 EMIB vs. CoWoS
31:44 Chiplets, UCIe, and Packaging Tiers
34:08 The EMIB Portfolio: T, M, Active
37:01 An Intel Foundry Exclusive
41:21 AI's Role in Packaging
43:26 Future: Top-Side Optics
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@austinsemis @vikramskr @Intel_Foundry
i need to use this gun more











