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Slides: Dream Machine: Scaling to 1m users in 4 days — Keegan McCallum, Luma AI

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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

Extracted Slides

slide-001.jpg

OCR text:

INNOVATIONPARTNER

aws

PLATINUMSPONSORS

Graphite

WWindsurf

MongoDB

daily

augment code

Workos

slide-002.jpg slide-003.jpg

OCR text:

AIE

Luma

Microsoft

smol ai

slide-004.jpg

OCR text:

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

slide-005.jpg

OCR text:

let'sseehowitgoes

KeeganMcCallom 10517

Thomas

KeeganMcCallum 11:31PM

KeeganMcCallm

1952PM

400 ahth ol

AIE

ustPINNING 5000 H100s aIldary

dockerinstalledon1st16/18

pullingimage

Thomus

10S3PM

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

Microsoft

smol?

slide-006.jpg

OCR text:

Luma's mission is to build multimodal general

intelligence that can generate, understand, and

operate in the physical world

« Luma

aws

7 |

ae —"

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OCR text:

AIE

aws

slide-008.jpg

OCR text:

AIE

slide-009.jpg

OCR text:

Public API

Check it out at:

https://lumalabs.ai/api/pricing

slide-010.jpg

OCR text:

CPU Worker FARR PACE ey CPU Worker a

-

CPU Worker CPU Worker

- ug

triton abe re et ne eee baeeeel COE e See 2 oe

« Luma

—_ 7

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a Microsoft §$ou

ee —

slide-011.jpg

OCR text:

Challenges

• Brittle, need to coordinate between both CPU and Triton being up at the same

time

• Triton not built for multi-gpu/multi-node

• Push model not ideal for multi-node (which node has rank 0?)

• No/limited support for non-nvidia chipsets with Triton

• Very difficult to develop against

• Need to have every piece everywhere, hard to bring in disparate compute (i.e.

from our training cluster:kekw:)

slide-012.jpg

OCR text:

(hapuens)

Redis

API

GpU werkers

Redis

AIE

(stardbg)

Redis

Workers

CPU

Seaweedfs

Luma

aws

slide-013.jpg

OCR text:

Challenges

Backpressure

AIE

Priorities/fairscheduling

Handlingmanydifferentmodels

Handling Bursts

Microsoft

.loms

slide-014.jpg

OCR text:

Queues, Queues, Queues

AIE

Luma

Microsoft

smol ai

slide-015.jpg

OCR text:

Model Management

AIE

Luma

Microsoft

smol ai

slide-016.jpg

OCR text:

THANK YOU

Luma

slide-017.jpg

OCR text:

THANK YOU

Luma

Slide-Derived Subjects To Review

Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.