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

OCR text:
INNOVATIONPARTNER
aws
PLATINUMSPONSORS
Graphite
WWindsurf
MongoDB
daily
augment code
Workos

OCR text:
AIE
Luma
Microsoft
smol ai

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

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?

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 —"

OCR text:
AIE
aws

OCR text:
AIE

OCR text:
Public API
Check it out at:
https://lumalabs.ai/api/pricing

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
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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:)

OCR text:
(hapuens)
Redis
API
GpU werkers
Redis
AIE
(stardbg)
Redis
Workers
CPU
Seaweedfs
Luma
aws

OCR text:
Challenges
Backpressure
AIE
Priorities/fairscheduling
Handlingmanydifferentmodels
Handling Bursts
Microsoft
.loms

OCR text:
Queues, Queues, Queues
AIE
Luma
Microsoft
smol ai

OCR text:
Model Management
AIE
Luma
Microsoft
smol ai

OCR text:
THANK YOU
Luma

OCR text:
THANK YOU
Luma
Slide-Derived Subjects To Review
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