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Starting in 2027, Microsoft will deploy Maia at multi-gigawatt scale
and =
make it the main inference system for its products. The
next-generation= =C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80= =8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0= =E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2= =A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C= =C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80= =8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2= =A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C= =C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80= =8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0= =E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2= =A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C=C2=A0=E2=80=8C= =C2=A0
Sign Up [1] |Advertise [2]|View Online [3]=20
=09=09TLDR=
=20
TLDR HARDWARE 2026-10-14
=F0=9F=93=B1=20
HEADLINES AND LAUNC=
HES
MICROSOFT TAKES MAIA TO MULTI-GIGAWATT SCALE, MAKING IT THE DEFAU=
LT
INFERENCE CHIP FOR ITS OWN PRODUCTS (4 MINUTE READ) [4]=20
Startin=
g in 2027, Microsoft will deploy Maia at multi-gigawatt scale
and make it=
the main inference system for its products. The
next-generation Maia 300=
uses compute chiplets on TSMC's N2P process
and targets long-context, mu=
lti-step agent workloads. Digitimes
reports that the supply chain is alre=
ady preparing for a surge in
server builds in 2027.=20
INTRODUCING AM=
D HELION, AGENTIC AI COMPUTE AT RACK SCALE (10 MINUTE
READ) [5]=20
AM=
D's Helion agentic AI rack is designed for flexible AI
infrastructure tha=
t caters to hyperscale deployments and enterprise
needs. It supports a ra=
nge of configurations, including CPU-only and
GPU-integrated systems, ali=
gning with diverse AI workloads. Helion,
part of an upcoming open bluepri=
nt by AMD for OCP, is set for release
in November.=20
=F0=9F=94=A8=20
=
ENGINEERING AND APPLICATIONS
PHYSICAL INTELLIGENCE OPENS A BETA AP=
I TO FINE-TUNE AND HOST =CE=A0 ROBOT
MODELS (3 MINUTE READ) [6]=20
Ph=
ysical Intelligence opened a beta API for its =CF=80 robotics
foundation =
models: upload demonstrations, fine-tune on Pi-managed
compute, and run t=
he result on your own robot through a hosted
inference gateway. Early par=
tners spanned hardware from Actor's
autonomous wheel loader, running a co=
mmercial deployment with no
operator onboard, to Almond's dual-arm Axol, =
which learned to deburr
its own spacers in four days. Since most ran clou=
d-hosted inference,
network connectivity was a pain point for some.=20
=
BUILDING A GPU COMPILER FROM SCRATCH, FROM PYTORCH TO CUDA (10 MINUTE=
READ) [7]=20
This deep dive uses the Emmy compiler framework to foll=
ow PyTorch
operations down to CUDA one lowering stage at a time: Tensor I=
R, Loop
IR, Tile IR, Kernel IR, and finally emitted code. It uses RMSNorm=
and
matrix multiplication as worked examples. It also covers operator
=
fusion, schedule selection, and online attention rewrites, so readers
can=
see what Triton-style stacks do under the hood.=20
=F0=9F=A7=A0=20
R=
ESEARCH AND PROTOTYPES
REACH 8 MILLION TECH PROFESSIONALS READING TLD=
R (SPONSOR) [8]=20
Ads get ignored on social media but not in TLDR! Rea=
ch hardware
engineers and makers where they actually pay attention. Learn=
more
about sponsorship opportunities [8].=20
APPLE'S MINIONS POOLS I=
DLE MACS INTO A VIRTUAL GPU CLOUD (10 MINUTE
READ) [9]=20
Apple Silic=
on Macs have powerful GPUs that sit mostly idle in normal
use. Minions co=
mbines them across machines into a virtual GPU cloud
for large ML inferen=
ce jobs, with fault tolerance and flexible task
scheduling. The pitch is =
that teams can use hardware they already own
instead of waiting for expen=
sive, centralized GPU capacity.=20
ANTHROPIC RUNS A 26B MODEL ACROSS 15=
$55 TV BOXES TO TEST IOT
SELF-REPLICATION (5 MINUTE READ) [10]=20
An=
thropic's Frontier Red Team ran Gemma4-26B-A4B across 15 off-brand
Androi=
d TV boxes with 4GB of RAM each, using pipeline parallelism at
0.39 token=
s per second, to test whether small models could replicate
across cheap I=
oT hardware. A 9B model got inference running on 8 of 9
hardware types te=
sted, and a Kimwolf-sized botnet would total only
about 40 H100s of compu=
te. By their trend line, small models reach the
needed capability in simp=
lified tests by year-end.=20
=F0=9F=8E=81=20
MISCELLANEOUS
APPL=
E HOME COLLECTION BRINGS LG AND SCHNEIDER CAMERAS, A LOCK, AND
THERMOSTAT=
S TO APPLE HOME (3 MINUTE READ) [11]=20
Apple's Home Collection, built =
with LG and Schneider Electric, covers
cameras, thermostats, sensors, a d=
oorbell, and a deadbolt. LG's lock
uses Ultra Wideband to unlock as you a=
pproach and works locally over
Matter and Aliro, while its indoor cam phy=
sically tilts away when
someone's home. Every device supports Thread, and=
cameras keep
recording to built-in storage if Wi-Fi drops. Prices run $1=
99.95 to
$399.95, with availability starting in December.=20
WHAT A 1=
GW AI DATA CENTER COSTS: ABOUT $30B, AND $17B OF IT IS CHIPS
(10 MINUTE R=
EAD) [12]=20
An Abilene-scale build requires roughly $17B for chips and=
servers,
$3B for power, and only $2.4B for construction. Transformers,=
generators, and cooling equipment face long lead times and rising
pric=
es.=20
=E2=9A=A1=20
QUICK LINKS
WALMART'S WAREHOUSE ROBOTS ARE =
RUNNING INTO TROUBLE (7 MINUTE READ)
[13]=20
Walmart has spent a deca=
de trying to automate about 200 US
warehouses.=20
SK HYNIX'S H-TPU SP=
READS SSD CONTROLLER WORK ACROSS MORE THAN 100
TINY IN-HOUSE CORES (3 MIN=
UTE READ) [14]=20
Each core runs a 4-stage pipeline and replaces work d=
one by
general-purpose CPUs.=20
PEBBLE ROUND 2 STARTS SHIPPING (2 MIN=
UTE READ) [15]=20
The $199 watch has a color e-paper display, runs open=
-source
PebbleOS, and lasts about 8 days per charge.=20
INTEL NAMES C=
RESCENT ISLAND THE GPU D-SERIES, WITH 1.3 PFLOPS OF FP8
AND UP TO 480GB O=
F LPDDR5X (3 MINUTE READ) [16]=20
Crescent Island, Intel's data center =
inference GPU, will be sold as
the GPU D-Series.=20
HOW META BUILDS A=
I NETWORKS: ICEPACK, TAHAN AND OPEN-SOURCE METAROCE
(7 MINUTE READ) [17] =
At OCP, Meta showed IcePack, a 102.4T liquid-cooled network rack,
=
along with its IceCube switch platform.=20
Want to advertise in TLDR? =
=F0=9F=93=B0
If your company is interested in reaching an audience of=
hardware
professionals and decision makers, you may want to ADVERTISE WI=
TH US
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], CREATE YOUR OWN ROLE [20] or send a friend's resume
to
jobs@tldr.tech =
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BEST BOOTSTRAPPED BUSI=
NESSES [21] of 2025.=20
If you have any comments or feedback, just resp=
ond to this email!=20
Thanks for reading,=20
Andrew Tan [22], Adi Nikumb=
h [23], Kshitij Sudan [24], & Kat Scott
[25]=20
Manage your subscript=
ions [26] to our other newsletters on tech,
startups, and programming. Or=
if TLDR Hardware isn't for you, please
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Li=
nks:
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[4]
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[5]
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[6] h=
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[9]
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are
[10]
https://www.anthropic.com/research/self-replicating-ai?utm_sourc= e=3Dtldrhardware
[11]
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[16]
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[17]
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<div style=3D"display: none; max-height: 0px; overflow: hidden;">Starting i=
n 2027, Microsoft will deploy Maia at multi-gigawatt scale and make it the = main inference system for its products. The next-generation =E2=80=8C&= nbsp;=E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C&= nbsp;=E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C&= nbsp;=E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C&= nbsp;=E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C&= nbsp;=E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C&= nbsp; =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2= =80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2= =80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2= =80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2= =80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2=80=8C =E2= =80=8C =E2=80=8C </div>
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<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"text-= align: center;"><span data-darkreader-inline-color=3D"" style=3D"--darkread= er-inline-color:#3db3ff; color: rgb(51, 175, 255) !important; font-size: 30= px;">T</span><span style=3D"font-size: 30px;"><span data-darkreader-inline-= color=3D"" style=3D"color: rgb(232, 192, 96) !important; --darkreader-inlin= e-color:#e8c163; font-size:30px;">L</span><span data-darkreader-inline-colo= r=3D"" style=3D"color: rgb(101, 195, 173) !important; --darkreader-inline-c= olor:#6ec7b2; font-size:30px;">D</span></span><span data-darkreader-inline-= color=3D"" style=3D"--darkreader-inline-color:#dd6e6e; color: rgb(220, 107,=
107) !important; font-size: 30px;">R</span>
</td></tr></tbody></table>
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody></tbody></table>
<table style=3D"table-layout: fixed; width:100%;" width=3D"100%"><tbody><tr= ><td style=3D"padding:0;border-collapse:collapse;border-spacing:0;margin:0;=
<div style=3D"text-align: center;">
<h1><strong>TLDR Hardware <span id=3D"date">2026-10-14</span></strong></h1> </div>
</td></tr></tbody></table>
<table style=3D"table-layout: fixed; width:100%;" width=3D"100%"><tbody></t= body></table>
</td></tr></tbody></table>
</td></tr></tbody></table>
</td></tr>
<tr bgcolor=3D""><td class=3D"container">
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td style=3D"padding: 0px;">
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"paddi= ng-top: 0px; padding-bottom: 0px;">
<div class=3D"text-block">
<div style=3D"text-align: center;"><span style=3D"font-size: 36px;">=F0=9F= =93=B1</span></div></div>
</td></tr></tbody></table>
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"paddi= ng-top: 0px; padding-bottom: 0px;">
<div class=3D"text-block">
<div style=3D"text-align: center;">
<h1><strong>Headlines and Launches</strong></h1>
</div>
</div>
</td></tr></tbody></table>
<table style=3D"table-layout: fixed; width: 100%;" width=3D"100%"><tbody><t= r><td style=3D"padding:0;border-collapse:collapse;border-spacing:0;margin:0=
;" valign=3D"top">
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fblogs.microsoft.com%2Fblog%2F2026%2F10%2F12%2Fmicrosoft= -to-expand-azure-maia-system-to-multi-gigawatt-deployments%3Futm_source=3Dt= ldrhardware/1/010001a13a90ab74-e43d4dcd-a3ef-470f-ae71-075d68da2e0a-000000/= hClpLd6C9RZ0kJDdF-cwFez_2DOgyLn3yAO_pSNFzY0=3D452">
<span>
<strong>Microsoft takes Maia to mul= ti-gigawatt scale, making it the default inference chip for its own product=
s (4 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Starting in 2027, Microsoft will deploy=
Maia at multi-gigawatt scale and make it the main inference system for its=
products. The next-generation Maia 300 uses compute chiplets on TSMC's N2P=
process and targets long-context, multi-step agent workloads. Digitimes re= ports that the supply chain is already preparing for a surge in server buil=
ds in 2027.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fnewsroom.amd.com%2Fnews%2Fopen-rack-blueprint-scale-age= ntic-ai%2F%3Futm_source=3Dtldrhardware/1/010001a13a90ab74-e43d4dcd-a3ef-470= f-ae71-075d68da2e0a-000000/SqIqxRcTGiqSLVd39j0i9-9NeiCRxBY_w_0Ajo2R5tk=3D45=
<span>
<strong>Introducing AMD Helion, Age= ntic AI Compute at Rack Scale (10 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
AMD's Helion agentic AI rack is designe=
d for flexible AI infrastructure that caters to hyperscale deployments and = enterprise needs. It supports a range of configurations, including CPU-only=
and GPU-integrated systems, aligning with diverse AI workloads. Helion, pa=
rt of an upcoming open blueprint by AMD for OCP, is set for release in Nove= mber.
</span>
</span>
</div>
</td></tr></tbody></table>
</td></tr></tbody></table>
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"paddi= ng-top: 0px; padding-bottom: 0px;">
<div class=3D"text-block">
<div style=3D"text-align: center;"><span style=3D"font-size: 36px;">=F0=9F= =94=A8</span></div>
</div>
</td></tr></tbody></table>
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"paddi= ng-top: 0px; padding-bottom: 0px;">
<div class=3D"text-block">
<div style=3D"text-align: center;">
<h1><strong>Engineering and Applications</strong></h1>
</div>
</div>
</td></tr></tbody></table>
<table style=3D"table-layout: fixed; width: 100%;" width=3D"100%"><tbody><t= r><td style=3D"padding:0;border-collapse:collapse;border-spacing:0;margin:0=
;" valign=3D"top">
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fwww.pi.website%2Fblog%2Fapi-beta%3Futm_source=3Dtldrhar= dware/1/010001a13a90ab74-e43d4dcd-a3ef-470f-ae71-075d68da2e0a-000000/xkfGLy= 058w0y-4IXc2h4YoBh2N0wFxMMxO5uGOFdWM0=3D452">
<span>
<strong>Physical Intelligence opens=
a beta API to fine-tune and host =CF=80 robot models (3 minute read)</stro=
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Physical Intelligence opened a beta API=
for its =CF=80 robotics foundation models: upload demonstrations, fine-tun=
e on Pi-managed compute, and run the result on your own robot through a hos= ted inference gateway. Early partners spanned hardware from Actor's autonom= ous wheel loader, running a commercial deployment with no operator onboard,=
to Almond's dual-arm Axol, which learned to deburr its own spacers in four=
days. Since most ran cloud-hosted inference, network connectivity was a pa=
in point for some.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fkernelspace.substack.com%2Fp%2Fbuilding-a-gpu-compiler-= from-scratch%3Futm_source=3Dtldrhardware/1/010001a13a90ab74-e43d4dcd-a3ef-4= 70f-ae71-075d68da2e0a-000000/rVVYOU3rLJ1vL0cfBQyMnnbSGjPe9Zg_YCK4S_pnyng=3D= 452">
<span>
<strong>Building a GPU compiler fro=
m scratch, from PyTorch to CUDA (10 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
This deep dive uses the Emmy compiler f= ramework to follow PyTorch operations down to CUDA one lowering stage at a = time: Tensor IR, Loop IR, Tile IR, Kernel IR, and finally emitted code. It = uses RMSNorm and matrix multiplication as worked examples. It also covers o= perator fusion, schedule selection, and online attention rewrites, so reade=
rs can see what Triton-style stacks do under the hood.
</span>
</span>
</div>
</td></tr></tbody></table>
</td></tr></tbody></table>
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"paddi= ng-top: 0px; padding-bottom: 0px;">
<div class=3D"text-block">
<div style=3D"text-align: center;"><span style=3D"font-size: 36px;">=F0=9F= =A7=A0</span></div>
</div>
</td></tr></tbody></table>
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"paddi= ng-top: 0px; padding-bottom: 0px;">
<div class=3D"text-block">
<div style=3D"text-align: center;">
<h1><strong>Research and Prototypes</strong></h1>
</div>
</div>
</td></tr></tbody></table>
<table style=3D"table-layout: fixed; width: 100%;" width=3D"100%"><tbody><t= r><td style=3D"padding:0;border-collapse:collapse;border-spacing:0;margin:0=
;" valign=3D"top">
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fadvertise.tldr.tech%2F%3Futm_source=3Dtldrhardware%26ut= m_medium=3Dnewsletter%26utm_campaign=3Dsecondary10142026%26sp=3D8S3ZG6mTTxi= vw917WJuZlcQW/1/010001a13a90ab74-e43d4dcd-a3ef-470f-ae71-075d68da2e0a-00000= 0/XZdflNaqobH6bu_17_Q0yONJt3Bv7BIhQrBb_jufyDw=3D452">
<span>
<strong>Reach 8 million tech profes= sionals reading TLDR (Sponsor)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Ads get ignored on social media but not=
in TLDR! Reach hardware engineers and makers where they actually pay atten= tion. <a href=3D"
https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fadvert= ise.tldr.tech%2F%3Futm_source=3Dtldrhardware%26utm_medium=3Dnewsletter%26ut= m_campaign=3Dsecondary10142026%26sp=3D8S3ZG6mTTxivw917WJuZlcQW/2/010001a13a= 90ab74-e43d4dcd-a3ef-470f-ae71-075d68da2e0a-000000/dunAXv_OnIbeH51aVrEdjivB= 8dNc0TsYbx3E5CRetec=3D452" rel=3D"noopener noreferrer nofollow" target=3D"_= blank"><span>Learn more about sponsorship opportunities</span></a>.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Farxiv.org%2Fabs%2F2610.12970%3Futm_source=3Dtldrhardwar= e/1/010001a13a90ab74-e43d4dcd-a3ef-470f-ae71-075d68da2e0a-000000/oZRM8czbWj= 3brYXrE_F4sllGBGq5ozlh4Mx-2pvN4cs=3D452">
<span>
<strong>Apple's Minions pools idle = Macs into a virtual GPU cloud (10 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Apple Silicon Macs have powerful GPUs t= hat sit mostly idle in normal use. Minions combines them across machines in=
to a virtual GPU cloud for large ML inference jobs, with fault tolerance an=
d flexible task scheduling. The pitch is that teams can use hardware they a= lready own instead of waiting for expensive, centralized GPU capacity.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fwww.anthropic.com%2Fresearch%2Fself-replicating-ai%3Fut= m_source=3Dtldrhardware/1/010001a13a90ab74-e43d4dcd-a3ef-470f-ae71-075d68da= 2e0a-000000/njdcRxBOo9udVb387pIKHsBV2eiHMmrmmsiCr6DZEO0=3D452">
<span>
<strong>Anthropic runs a 26B model = across 15 $55 TV boxes to test IoT self-replication (5 minute read)</strong=
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Anthropic's Frontier Red Team ran Gemma= 4-26B-A4B across 15 off-brand Android TV boxes with 4GB of RAM each, using = pipeline parallelism at 0.39 tokens per second, to test whether small model=
s could replicate across cheap IoT hardware. A 9B model got inference runni=
ng on 8 of 9 hardware types tested, and a Kimwolf-sized botnet would total = only about 40 H100s of compute. By their trend line, small models reach the=
needed capability in simplified tests by year-end.
</span>
</span>
</div>
</td></tr></tbody></table>
</td></tr></tbody></table>
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"paddi= ng-top: 0px; padding-bottom: 0px;">
<div class=3D"text-block">
<div style=3D"text-align: center;"><span style=3D"font-size: 36px;">=F0=9F= =8E=81</span></div></div>
</td></tr></tbody></table>
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"paddi= ng-top: 0px; padding-bottom: 0px;">
<div class=3D"text-block">
<div style=3D"text-align: center;"><strong><h1>Miscellaneous</h1></strong><= /div>
</div>
</td></tr></tbody></table>
<table bgcolor=3D"" style=3D"table-layout: fixed; width: 100%;" width=3D"10= 0%"><tbody><tr><td style=3D"padding:0;border-collapse:collapse;border-spaci= ng:0;margin:0;" valign=3D"top">
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fwww.apple.com%2Fnewsroom%2F2026%2F10%2Fintroducing-appl= e-home-collection-a-new-lineup-of-smart-home-accessories%2F%3Futm_source=3D= tldrhardware/1/010001a13a90ab74-e43d4dcd-a3ef-470f-ae71-075d68da2e0a-000000= /XhoFwLTp2hzmpR2RPrvVf6T7zjQJcCajz2Ma8RVlh6k=3D452">
<span>
<strong>Apple Home Collection bring=
s LG and Schneider cameras, a lock, and thermostats to Apple Home (3 minute=
read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Apple's Home Collection, built with LG = and Schneider Electric, covers cameras, thermostats, sensors, a doorbell, a=
nd a deadbolt. LG's lock uses Ultra Wideband to unlock as you approach and = works locally over Matter and Aliro, while its indoor cam physically tilts = away when someone's home. Every device supports Thread, and cameras keep re= cording to built-in storage if Wi-Fi drops. Prices run $199.95 to $399.95, = with availability starting in December.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FUp4TJ6/1/010001a13a90ab74-e4= 3d4dcd-a3ef-470f-ae71-075d68da2e0a-000000/8hKrawnxE3JiqIBxL1GscQnf8NdGokH7C= UE2ha8YDrs=3D452">
<span>
<strong>What a 1GW AI data center c= osts: about $30B, and $17B of it is chips (10 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
An Abilene-scale build requires roughly=
$17B for chips and servers, $3B for power, and only $2.4B for construction=
. Transformers, generators, and cooling equipment face long lead times and = rising prices.
</span>
</span>
</div>
</td></tr></tbody></table>
</td></tr></tbody></table>
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"paddi= ng-top: 0px; padding-bottom: 0px;">
<div class=3D"text-block">
<div style=3D"text-align: center;"><span style=3D"font-size: 36px;">=E2=9A= =A1</span></div></div>
</td></tr></tbody></table>
<table align=3D"center" bgcolor=3D"" border=3D"0" cellpadding=3D"0" cellspa= cing=3D"0" width=3D"100%"><tbody><tr><td class=3D"container" style=3D"paddi= ng-top: 0px; padding-bottom: 0px;">
<div class=3D"text-block">
<div style=3D"text-align: center;">
<h1><strong>Quick Links</strong></h1>
</div>
</div>
</td></tr></tbody></table>
<table bgcolor=3D"" style=3D"table-layout: fixed; width: 100%;" width=3D"10= 0%"><tbody><tr><td style=3D"padding:0;border-collapse:collapse;border-spaci= ng:0;margin:0;" valign=3D"top">
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Flinks.tldrnewsletter.com%2FfkYYCl/1/010001a13a90ab74-e4= 3d4dcd-a3ef-470f-ae71-075d68da2e0a-000000/0MWCkg9MDle7ZlzUQgoPbzH0FkFFAb9z0= f7f2m_g3e8=3D452">
<span>
<strong>Walmart's warehouse robots = are running into trouble (7 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Walmart has spent a decade trying to au= tomate about 200 US warehouses.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fwww.thelec.net%2Fnews%2FarticleView.html%3Fidxno=3D1453= 6%26utm_source=3Dtldrhardware/1/010001a13a90ab74-e43d4dcd-a3ef-470f-ae71-07= 5d68da2e0a-000000/LMeg2eJ0s2E4WxWmvs5m1CGM2yshFgHTabcGV7mc2Jo=3D452">
<span>
<strong>SK Hynix's H-TPU spreads SS=
D controller work across more than 100 tiny in-house cores (3 minute read)<= /strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Each core runs a 4-stage pipeline and r= eplaces work done by general-purpose CPUs.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Flinuxiac.com%2Fpebble-round-2-open-source-smartwatch-fi= nally-starts-shipping%3Futm_source=3Dtldrhardware/1/010001a13a90ab74-e43d4d= cd-a3ef-470f-ae71-075d68da2e0a-000000/MpLI28Xa9q1P9pUk-9gvf1v3iDm6ljpgjK1XI= SrWDqA=3D452">
<span>
<strong>Pebble Round 2 starts shipp= ing (2 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
The $199 watch has a color e-paper disp= lay, runs open-source PebbleOS, and lasts about 8 days per charge.
</span>
</span>
</div>
</td></tr></tbody></table>
<table align=3D"center" border=3D"0" cellpadding=3D"0" cellspacing=3D"0" wi= dth=3D"100%"><tbody><tr><td class=3D"container" style=3D"padding: 15px 15px=
<div class=3D"text-block">
<span>
<a href=3D"
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<strong>Intel names Crescent Island=
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Crescent Island, Intel's data center in= ference GPU, will be sold as the GPU D-Series.
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<a href=3D"
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At OCP, Meta showed IcePack, a 102.4T l= iquid-cooled network rack, along with its IceCube switch platform.
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