Slides: Dream Machine: Scaling to 1m users in 4 days — Keegan McCallum, Luma AI
Source Video
Dream Machine: Scaling to 1m users in 4 days — Keegan McCallum, Luma AI
Relationship To World's Fair 2026
These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.
Related Scheduled Sessions
- No individual scheduled session mapping has been assigned yet; treat this as an event livestream deck.
Extracted Slides

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amit10:42PM
iamthecha0smonkeyhttps://x.com/LumaLabsAl/status/1801127491496730730
XX(formerlyTwitter)
LumaAl(@LumaLabsAl)onX
Thankyou foryourpatiencewhilewescaled upDreamMachine.It's10xbiggernow!
AIE
Let'sgetbackto imagining...(135kB)
ITIS
RELEASEDAY
MY DUDES.
Luma
Microsoft
smolo

OCR text:
let'sseehowitgoes
KeeganMcCallom 10517
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KeeganMcCallum 11:31PM
KeeganMcCallm
1952PM
400 ahth ol
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dockerinstalledon1st16/18
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keepingat aroumd 400muybe
KeeganMeCallm10.5P
Nope oh boy 500
ahhhh this is white knuckling.Ihope these nodes are enough
saanninomscanAi
KeeganMcCallum 12:11AM
YESlol
2500im2vidqueue
banana barely made a dent
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Luma's mission is to build multimodal general
intelligence that can generate, understand, and
operate in the physical world
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OCR text:
Challenges
Brittle,needtocoordinatebetweenbothCPU andTritonbeingupatthesame
AIE
time
Tritonnotbuiltformulti-gpu/multi-node
Pushmodelnotidealformulti-node(whichnodehasrankO?)
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Needtohaveeverypieceeverywhere,hardtobringindisparatecompute(i.e.
fromourtrainingcluster:kekw:)
Microsoft
smol?

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Challenges
Backpressure
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Priorities/fairscheduling
Handlingmanydifferentmodels
Handling Bursts
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Queues, Queues, Queues
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Model Management
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OCR text:
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Slide-Derived Subjects To Review
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