DramaticCape (@DramaticCape0) profile picture

qp clip lover #1 Desperate Measures Hater

Joined January 2021
Photo by DramaticCape (@DramaticCape0)Photo by DramaticCape (@DramaticCape0)Photo by DramaticCape (@DramaticCape0)Photo by DramaticCape (@DramaticCape0)Photo by DramaticCape (@DramaticCape0)Photo by DramaticCape (@DramaticCape0)Photo by DramaticCape (@DramaticCape0)Photo by DramaticCape (@DramaticCape0)Photo by DramaticCape (@DramaticCape0)Photo by DramaticCape (@DramaticCape0)
just like thrall
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Burst hemlock is sm more fun than the auto missed this mf
The Hemlok returns to its classic burst-fire mode in Season 31 ‼️ • Elite variant removed
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DramaticCape retweeted
The Hemlok returns to its classic burst-fire mode in Season 31 ‼️ • Elite variant removed
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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 Get more of Austin and Vik daily, free! Sign up: daily.semidoped.com/ Connect with Vik and Austin: Vik's Paid Substack: viksnewsletter.com Austin's Paid Substack: chipstrat.com @austinsemis @vikramskr @Intel_Foundry
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Gwolves stock dots were so fast, jade airs feel more controlled lol
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The Calma GDS II computer-aided design workstation in 1984.
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CoWoS-S process animation ( best guess, still plenty of bugs to fix )
advanced packaging and where to find them
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can cheaters force your game to crash?
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Have the opportunity to leave work early but idc because idk what to do at home
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I’ve lost all joy and whimsy
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participation trophy #5
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i need to use this gun more
farming charity columns and noob hackusations twitch.tv/dramaticcape0
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im so fucking back
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B-7 aint got shit on my trusty trust
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i want to play d2 who is carrying me in vow until I can craft this goddamn pulse
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why is d2 stuttering on windows now :|
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