---
title: "Slides: Run Frontier AI at Home — Alex Cheema, EXO Labs"
category: "slides"
video_id: "ESbWpPT_9-o"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: Run Frontier AI at Home — Alex Cheema, EXO Labs

## Source Video
[Run Frontier AI at Home — Alex Cheema, EXO Labs](https://www.youtube.com/watch?v=ESbWpPT_9-o)

## 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
![[assets/slides/ESbWpPT_9-o/slide-001.jpg]]

OCR text:

> PLATINUM SPONSORS
> Braintrust WorkOS OpenAI

![[assets/slides/ESbWpPT_9-o/slide-002.jpg]]

OCR text:

> Why Most AI Will Run Locally
> Cheema, EXO Labs

![[assets/slides/ESbWpPT_9-o/slide-003.jpg]]

OCR text:

> a) beOURT LES Cry a
> Or ST EG h tare Cai ti irs (cell to aaa
> ee ee ee renting our brains . re ae
> ae oe ee ae ere Te) Tele TUsU LC Peale © el) Lg
> brain
> @tsarnick
> 
> i, )
> 
> of itas an exocortex,
> Pra LG

![[assets/slides/ESbWpPT_9-o/slide-004.jpg]]

OCR text:

> The Hardware Lottery
> 
> Sara Hooker
> Google Research, Brain Team
> shooker@google.com
> Abstract
> Hardware, systems and algorithms research communities have historically
> had different incentive structures and fluctuating motivation to engage with
> each other explicitly. This historical treatment is odd given that hardware
> and software have frequently determined which research ideas succeed (and
> fail). This essay introduces the term hardware lottery to describe when a
> research idea wins because it is suited to the available software and hard-
> ware and not because the idea is superior to alternative research directions.
> Examples from early computer science history illustrate how hardware lot-
> teries can delay research progress by casting successful ideas as failures.
> These lessons are particularly salicnt given the advent of domain spccial-
> ized hardware which make it increasingly costly to stray off of the beaten
> path of research ideas. This essay posits that the gains from progress in
> computing are likely to become even more uneven, with certain research
> directions moving into the fast-lane while progress on others is further ob-
> structed.

![[assets/slides/ESbWpPT_9-o/slide-005.jpg]]

OCR text:

> Prefill stage Decode stage
> KV Cache
> Se Cone fteration 1 Iteration 2 Iteration 3 tteration 4 Iteration 5 Hteration 6
> REreni)) (Decode) (Decode) (Decode) (Decode) (Decode) (Decode)
> N 4
> & What are LLMs?” <q ete 4 <a: I rea » os

![[assets/slides/ESbWpPT_9-o/slide-006.jpg]]

OCR text:

> > /context
> Context Usage
> er claude -opus-4-5-20251101 - 63«/2e0k tokens (31?:)
> , : 12 System prompt: 2.9k torxens (1.4%:)
> 
> a ») System tools: 14./K toxens (/.45)
> bel Messages: 8 toxens (@.@%)
> 
> re Puen - Free space: 13/k (68.7%)
> 
> ae : i Autocorpact buffer: 45.8« toKens (22.575)
> 
> SlashCommand Tool - 4 com~™ands
> 
> L Total: 949 toxens

![[assets/slides/ESbWpPT_9-o/slide-007.jpg]]

OCR text:

> 10^3
> GPU Memory (GB)
> 126.3×
> Improvement
> 10^2
> 10^1
> Local Accelerator Memory
> 2012 2015 2020 2025
> Release Year

![[assets/slides/ESbWpPT_9-o/slide-008.jpg]]

OCR text:

> {Grok 4.20 Beta}
> {4 Agents SCHED TE RAT}
> alle el- ie {Lucas}
> {Research and Fact Expert} {Creativity and Balance Expert}
> {Grok}
> {Captain / Coordinator}
> Csr Uiiby {User input}
> {Math/Code/Logic} i EAT SW eea:-3)

![[assets/slides/ESbWpPT_9-o/slide-009.jpg]]

OCR text:

> VedApr 8 2:35PM
> EXC
> Not Secure
> hp/games.52415
> exO
> HOME
> SOVOTNOO
> INSTANCES
> mike
> 442C237C
> DELETE
> alx-conity/G-5.1-74-8
> 3.E
> WopgingFoce
> js,s13,s14,i
> READY
> Lsly te chat!
> s14
> 40x
> LOAD HODEL
> 94nodels
> 34'C
> GL-5.1-FP4-08
> S
> CH-5.1-094-0
> abx-conity/6O-5.1-or.
> 378G8
> s13
> 5x
> TERSOR
> RLX ADRA
> 30`c
> 16W
> GLN-5.1-KXFP4-08
> wtv

![[assets/slides/ESbWpPT_9-o/slide-010.jpg]]

OCR text:

> NotSecure
> hp/ames52415
> eXO
> HOME
> DOWNLOADS
> 14:48:27QUx
> A3010401
> 4NO0ES
> tell ne about ai.engineer
> 1X014:40:27
> THTNKING
> eAnalyze the Reeuesties
> Dser Ii akingabeut "al.engineer
> Constralnt:Repond irectly snd coocitely.
> ldeotify
> INSTANCES
> 442C237C
> DELETE
> alx-Cny/GLM-5.1-HFP4-08
> TeSOrRUXROHANING
> ing Foce
> js,s13,s14,aie
> SNINNTIN
> ADOEL:
> GLM-5.1-004-QI
> TTFT1293.05TP516.9tk/s（59.1s/tok）
> stv

![[assets/slides/ESbWpPT_9-o/slide-011.jpg]]

OCR text:

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> oO 8 oO a 8 Ss 8 oO ™ +
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> 7 Ctoras Chrome

![[assets/slides/ESbWpPT_9-o/slide-012.jpg]]

OCR text:

> 2504.19824 1706.03762
> C locahost:52415
> eXO HOME DONNLOADS
> NEW CHAT INSTANCES
> CONVERSATIONS Hi 02:58PM t-055-200-004-08 IFT481es-95.0tok/s 26.9G8/119.608（22%) gx10-de89 45'C 40W 0% 4A7436F7 PipelIneVLLR （CUDA) Muging fece g1e-det9 READY ogena1/gpt-oss-2 83AFA4F8 Reody te chet! DELETE DELETE
> pt-055-200-04-Q Chat Apr8,02:55PM Chat Apr8,e2:57 PM 02:57PM 2:55PM 002-550-1 Ryuichi's MacBoo.. 44'C 13W 4% LOAD MODEL gpt-05s-200-MXFP4-Q811C8 Reale ts chos! alx-Co8un1ty/g0t-05s-29o-MFP4. Pipeline.XRingREr ging Fece Ryuichi'sRsclosk Pro Ryalchi'sRecBosk Pre-Byeichi's READY RaoakFr7(7) 97nodels
> 1100 pt-055-20b-00F74-06 37,1G8/128G8(29%) 100.83.156.7ta11scalee 100.101.172.42tum7 192.168.100.1P7s7 172.17.0.16ocker 192.165.100.2e9 901-015-20-0094-06 DOWNLOADING ADVANCED OPTIONS PIPELINE mnity/0pt-ss-2b-RL HLXRING 16.2/s 1168
> sasted-text.txt 5.4 pasted-text.txt
> Can you summarise these tvo papers?
> 3CONVERSATIONS

![[assets/slides/ESbWpPT_9-o/slide-013.jpg]]

OCR text:

> exO
> HOMEDONLOADS
> +NEW CNAT
> OLOAD MOOEL
> 97sodels
> g0t-055-280-0XFP4-08
> ）ADVANCED CPTIONS
> CONVERSATIONS
> gx10-de89
> Ne valsd configurat lons for current
> HiI
> 44`C
> Testerdoy
> 28W
> O5.5-358-A31-811
> 76.6to/s
> 4.7G8/119.608（4x）
> TTFTS2545
> Hi!
> Testerdoy
> n3.5-358-A31-8t
> HI!
> Testerdoy
> 03.5-358-A38-80（1
> Chat Mar 31,09:48PM
> 0m3.5-358-A31-801t
> Nor 31
> Ryuichi'sMacBoo..
> Sumnorise the first bit-
> TEJ0
> 3.5-338-A38-8011
> 45'C
> 13W
> What is this POF?
> Mor31
> Q03.5-358-A38-8t
> TIFT1415s73.9tok/s
> HiI
> 100.101.172.42tu7
> Mor24
> Qwen3.5-358-A38-81t
> TTFT858s-81.5tok/s
> Select a modetto get started.
> Chat Mor 24,03:37 PM
> Mor 24
> gpt-0ss-20b-FP4-Q
> sodel to.start chatting
> 43CONVERSATIONS

![[assets/slides/ESbWpPT_9-o/slide-014.jpg]]

OCR text:

> Real Local AI Benchmarks soonTM

![[assets/slides/ESbWpPT_9-o/slide-015.jpg]]

OCR text:

> Real Local AI Benchmarks soonTM

![[assets/slides/ESbWpPT_9-o/slide-016.jpg]]

OCR text:

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![[assets/slides/ESbWpPT_9-o/slide-017.jpg]]

OCR text:

> exO
> HOME
> DONNLOADS
> +NEW CHAT
> 15:09:38QUY
> pasted-text.txt
> pasted-text.txt
> pasted-text.txt
> Summarise these tve papers please
> CONVERSATIONS
> Chot Apr8,03:e9 PW
> X015:09:38
> -055-200-0074-Q5
> Sumnorise these two pope.
> 02.42vt3
> 03:29PN
> T56.3talsle
> -00P4-QI
> 03:05PM
> INSTANCES
> pt-055-200-00F4-Q1
> TIFT940983.1k/s
> 737529C8
> AL313G
> PipeLineRX Ring RWN
> slx-community/opt-oss-2oe-RxrP4.
> 0:24PH
> gpt-0ss-20o-FP4-Q
> Mgging Fece
> TTFT484990.4（ok/s
> Ryvichi's Raclosk Prg
> Ryaichi'sRecBek Prs→Rpichi's
> Could you summorise thes.
> RONNING
> Kaclosk Prei 7-3})
> pt-05-20-0FP4-08
> 03:01PM
> Resdy te chot
> hi!
> 03:01PM
> DELETE
> gt-0s1-200-0074-0
> TT7T60881
> 93.1tok/s
> PipeLine-LLN(CUDA)
> opena1/gpt-oss-260
> Huging Fece
> Hi!
> g10-de19
> Testereoy
> RUNNING
> Q3.5-358-A38-811
> TTFT 525a576.6tok/s
> Hi!
> Testerdoy
> spt-0ss-200-KxFP4-08
> DELETE ALL CHATS
> Cence!
> 49CONVERSATIONS

![[assets/slides/ESbWpPT_9-o/slide-018.jpg]]

OCR text:

> Con
> Stash
> rae.py
> app.svete.ts
> Nstlee
> defpipeline_avto.parattetc2s
> on_Layer_Loaded（i.totat)
> P
> Changes
> leoprefil-deco
> layers[0]-PipeLineFirstLayer（Layers[e],sevice_rank,
> tayers[-1]=Pipetinelastlayer(
> edFles
> tayers[-1],
> device_rank,
> world_size,
> agroup,
> Amens
> 1fisinstnce（Iner_odel_instace,Sptoss）:
> inner_model_Instance.Layer_typesInner_model_instance.layer_types[
> Addback6
> Commitand Push...
> Cor
> If alayer type doesnt exist,e canset it too.
> Terminal
> turboquant
> Ueven sarding
> bench
> james mconvesionit
> jamesmbx conversion 8bit
> ogx
> Local
> James
> s13
> Loca(3)
> Loca(6)
> aait resp.start（con）
> function CLlentResponse.start at xelaSfe7c
> Centese(ntt://afe.c//dsa/gfs-2i//i）[N]
> F11e/home/Larry/ex/.ven/Ltb/python3.13/site-packages/alohttp/cLient_reqre.o,Line 539,In staet
> sessape,gayloadaait protocl.res(）type:Ignore[union-attr]
> Lfunction DataQueue.read at dxelat4e193adb
> F1le/home/Larry/exo/.ven/Lib/python3.13/site-packages/aiohttp/streans.py,Line 763,in read
> alohttp.eLient_proto.Responseandler coject at xeBabedetb77o
> aait slf.miter
> LNone
> alohttp.ellent_sroto.Responsehanfler coject at fxeBabedeto776
> alohttp.cLiant_excegtLans.SocketTiaeoutError: Tineout en readingNata fron socket
> INFO
> dverLapping prefill:sent 120chunks,28342 takens（server_cached111,skip0)
> INFO
> INFO
> KVcache added（torch):20342 tokens
> 02:05:27.4540PH
> Server refix cache:saved 28342 tokens （entries:1+2)
> 02:09:39.0288P
> INFO
> INFO
> ]Prefill reqest:40570 takens,start_pos,overlappingaTre
> Prefitl complete:28344 tokens 1n 8936as （2277 tok/s)
> 2826-64-08T14:69:48.194893+00
> 02:09:48.1416P
> INFO
> Sent coched:24K,arrays for positions0-28349
> |patched|IF0-Preflx cache hit:28340 tokns,1281 blocks（2groups）
> 02:09:48.2043PN
> INFO
> INFO
> OverLapp1ng prefitL:sent 120chunks,46568 tokens （serve_cached20340,skip0)
> 02:09:57.0796P
> 02:89:57.0793PH
> INFO
> INFO
> KVcache adsed(tarch）:40568 tokens
> Server prefix cache:saved 40568 tokens(entrles:2+3）
> 02:09:57.0885PN
> INFO
> UTF-

![[assets/slides/ESbWpPT_9-o/slide-019.jpg]]

OCR text:

> exO
> HOMEDONLOADS
> +NEW CHAT
> 15:10:48Q0
> pasted-text.txt
> marise this paper please!
> CONVERSATIONS
> Sumndrise this poper ple.
> 3:20PN
> EX015:10:48
> t-055-200-0094-05
> TAINKINE,
> Chat Aprs,03:e9 PM
> 03:09PM
> Tronsformer-“Attention IsAl1 Youeed（Vaswnl et ol.,2817)
> pt-05s-200-004-0
> Reploce therecurrent or convolutionel 1oyers thot
> Coel
> Sumnorise these two pope.
> ce-to-segence nodelswith onorchitecture
> 03:09PM
> INSTANCES
> t-055-280-00N-05
> Sumnorise these two pope
> ECS6DASB
> DELETE
> 03:05PM
> alx-comtunity/got-ass-20e-rFP4
> g1-055-20-04-09
> PipeLine-X RingNG
> TFT9409ns-83.1 tok/s
> Mggig Fece
> Ryuichi'sRaclosk Pro
> Summorise this poper
> Ryach'Mecek PeRyichi's
> 03:04PN
> RUNNING
> Kadosk frei [3）
> pt-015-20-074-Q8
> TTFT4499590.4tok/s
> y teChn!
> Could you summorise thes.
> 03:01PM
> gt-053-206-0074-01
> hil
> 3:N
> TTFT68s.93.1tok/s
> Hi!
> Testerdoy
> (3.5-58-A34-801t
> cpt-0ss-200-RFP4-08
> TTFT 7281.2esTP59.7 tok/s(11.4ss/tek)
> DELETE ALL CHATS
> Conce!
> S#CONVERSATIONS

![[assets/slides/ESbWpPT_9-o/slide-020.jpg]]

OCR text:

> exO
> HOMEDONLOADS
> +NEK CHAT
> INSTANCES
> ax-coamunity/gpt-gss-28o-RxFP4
> Ryuichi's MocBoo..
> PipeLine·EX Ring E
> ging foce
> Ryuichl's Racbosk Pro
> CONVERSATIONS
> Ralai'oceskreReihi's
> S1'C
> KacBoskPre17（7)
> HiI
> 12W
> READY
> 3:11PM
> Btody ts Lhet!
> 1-055-280-00F4-05
> TTFT6888.8to/s
> 38.2G8/128G8（30%）
> 22097AA8
> DELETE
> Sumarise this poper ple
> 03:11PM
> PipeLIneVLUN (CUDA)
> oenai/gpt-oss-28
> Hgging Fece
> LOABDIG
> 87.3.tok/s
> gxle-0et9
> Chat Apr8,03:e9 PM
> LOADING
> 03:09PM
> pt-055-200-0FP4-08
> Summorise these two pape.
> OLDAD MODEL
> 97eodels
> 03:09PM
> gpt-053-20b-8074-0
> gx10-de89
> gpt-oss-20b
> 13G8
> Sumngrise these two pope.
> 03:05PM
> ADVANCED OPTIONS
> pt-055-20-100P4-Q8
> 26.6G8/119.668
> TTFT 94096583.1t0k/s
> Sharsing Strategy:
> 100.201.172.42otun7
> Pipelin
> Sumorise this poper
> 100.83.156.7ta1lscale
> 192.168,100.2en
> Iatercosnect:
> pt-05-280-074-08
> ：192.168.100.1e7s7
> 172.17.8.16ocker
> TCP/1P
> (Fast)
> ROMA
> (CUDA)
> VLLH
> TT7T4849m90.4tok/s
> inisun Devices:
> 03:81PM
> gpt-055-20b-R0FP4-00
> pt-055-2-FN4-Q5
> hil
> pasted-teat.txt
> 03:01M
> 13G8
> DELETE ALL CHATS
> Sumnarise this
> SENO
> PIPELINE
> VLLS
> 51 CONVERSATIONS
> DOWNLOAOING

## 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.