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Etched raised $700 million at a $21 billion valuation, led by Jane
Street=
, just a month after closing a $10.3 billion round and eight
months
rem=
oved=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 2026-08-19
=F0=9F=93=B1=20
HEADLINES=
AND LAUNCHES
ETCHED DOUBLES VALUATION AGAIN TO $21B, JANE STREET PUT=
S FIRST RACK
INTO PRODUCTION (3 MINUTE READ) [4]=20
Etched raised $70=
0 million at a $21 billion valuation, led by Jane
Street, just a month af=
ter closing a $10.3 billion round and eight
months removed from a $5 bill=
ion valuation in December. The jump is
backed by real deployment: Jane St=
reet tested and bought Etched's
hardware before investing, and has now pu=
t its first =E2=80=9Cfrontier
inference cluster=E2=80=9D rack into produc=
tion in its own data center.
Etched's pitch centers on two custom-built c=
omponents for AI
inference, a low-voltage prefill chip and a new memory/i=
nterconnect
design for the decode stage, and the company has walked back =
its
original plan to etch specific models into silicon in favor of system=
s
that run any frontier model.=20
GOOGLE REPORTEDLY TAPS AMD TO DESIG=
N NEXT-GENERATION TPU (3 MINUTE
READ) [5]=20
Google is reportedly col=
laborating with AMD to develop a
10th-generation TPU variant featuring on=
-package CPU cores and
advanced 3D packaging. While Google maintains its =
long-standing
partnership with Broadcom for conventional AI accelerators,=
this
hybrid design is expected to leverage AMD's x86 CPU IP and SoIC
p=
ackaging expertise to integrate general-purpose compute directly
alongsid=
e TPU matrix engines. The architectural shift targets complex
reinforceme=
nt learning, reasoning, and agentic workloads that demand
low-latency exe=
cution and higher CPU-to-accelerator compute ratios
than standard LLM pip=
elines.=20
=F0=9F=94=A8=20
ENGINEERING AND APPLICATIONS
CEREBRA=
S SAYS ITS NEW COMPUTER BOOSTS AI SPEED ADVANTAGE OVER NVIDIA
(3 MINUTE R=
EAD) [6]=20
Cerebras Systems has announced its next-generation wafer-sc=
ale AI
supercomputing system, claiming substantial speed and throughput=
advantages over Nvidia's flagship accelerators. Built around its
massi=
ve single-wafer processor architecture, the new machine
eliminates inter-=
chip interconnect bottlenecks to deliver ultra-low
latency and higher tok=
ens-per-second performance for large language
models. The rollout sharpen=
s competition in datacenter AI
infrastructure as Cerebras pitches its spe=
cialized wafer-scale silicon
as a higher-performance, power-efficient alt=
ernative to traditional
multi-GPU clusters for frontier model training an=
d real-time
inference.=20
NVIDIA PLANS TO USE TSMC 1.6NM PROCESS FOR =
FEYNMAN IN H2 2028 (3
MINUTE READ) [7]=20
Nvidia has reserved advance=
d production capacity on TSMC's 1.6nm
(A16) manufacturing node for its ne=
xt-generation "Feynman"
architecture, slated for production in the second=
half of 2028.
Incorporating nanosheet transistors alongside backside pow=
er delivery
networks, TSMC's A16 process offers substantial improvements =
in logic
density, power efficiency, and signal routing. By securing early=
foundry capacity, Nvidia locked in its long-term hardware roadmap.=20
=
=F0=9F=A7=A0=20
RESEARCH AND PROTOTYPES
DATA CENTERS BUILT IN W=
EEKS (SPONSOR) [8]=20
Runware is building its own infrastructure to mak=
e AI compute cheaper
and more abundant. Sonic Inference Pods pack up to 1=
200 GPUs into
modular 1MW data centers, deployed in weeks rather than yea=
rs and
purpose-built to squeeze more performance from every GPU. Run any =
AI
workload on them through Runware Serverless [8].=20
FLUID-SIDE OBS=
ERVABILITY EXPANDS AI HARDWARE RELIABILITY (4 MINUTE
READ) [9]=20
As =
liquid cooling becomes standard for high-power AI accelerators,
heat now =
travels through a whole chain - cold plate, manifold, hoses,
distribution=
unit, and facility heat rejection - rather than staying
inside the serve=
r, meaning problems anywhere along that path can
quietly eat into a chip'=
s thermal margin before temperature alarms
ever trigger. Component temper=
ature alone only confirms a chip is
currently within limits - it doesn't =
reveal how hard the control
system is working to hold that temperature or=
how much margin is left,
since pumps and valves are designed to compensa=
te for developing
issues invisibly.=20
800VDC PUSHES AI POWER DESIGN =
FROM GRID TO GATE (4 MINUTE READ) [10]=20
This article details how AI d=
atacenters are evaluating the transition
to 800VDC architectures of power=
distribution. Moving away from
current 48V distribution streamlines the =
conversion path from
medium-voltage grid AC to sub-1V silicon, cutting co=
nversion heat
losses and reducing heavy copper cabling requirements. Real=
izing this
grid-to-gate efficiency relies on silicon carbide (SiC) and ga=
llium
nitride (GaN) power semiconductors, solid-state transformers, and=
upgraded DC-rated switchgear to manage high-voltage safety and rapid
l=
oad switching across AI clusters. While these technologies are
rapidly ma=
turing, it still may take years to change datacenter designs
that form th=
e bedrock of all computing stacks.=20
=F0=9F=8E=81=20
MISCELLANEOUS=
CHINA'S AI HARDWARE EXPORTS OFFER A WAY OUT OF WALL STREET'S CIRCULA=
R
AI TRADE (4 MINUTE READ) [11]=20
US AI investment has become danger=
ously circular. Suppliers are
financing customers who spend that capital =
back on the suppliers' own
hardware, making it hard to separate real end-=
user demand from
financial engineering. China's push into overseas indust=
rial AI
hardware, robotics, data-center equipment, and automated producti=
on
systems has a cleaner signal, since a robot shipped abroad and
insta=
lled on a factory floor can be checked against customs data and
productio=
n volumes rather than internal financing loops.=20
THE US-CHINA TECH WA=
R IS COMING FOR AI'S PLUMBING (3 MINUTE READ)
[12]=20
The reported FC=
C ban on Chinese optical transceivers shows that the
US-China tech war is=
expanding past chips and into the smallest links
of AI's physical plumbi=
ng. Washington's concern centers on data theft,
service disruption, and l=
ong-term dependence, since these modules sit
physically embedded througho=
ut the network and could theoretically
carry malware. A sudden ban risks =
backfiring, as US suppliers can't
match Chinese scale, leading hyperscale=
rs like Amazon and Microsoft to
face real supply disruption if forced to =
substitute quickly.=20
=E2=9A=A1=20
QUICK LINKS
GROQ VALUED AT =
$3.5 BILLION IN FUNDING ROUND AFTER NVIDIA DEAL (3
MINUTE READ) [13]=20
=
AI chip startup Groq has reached a $3.5 billion valuation in a new
fu=
nding round following its IP acquisition by Nvidia.=20
SELF-DRIVING TRU=
CKS ARE OFFICIALLY TESTING ON CALIFORNIA HIGHWAYS (3
MINUTE READ) [14] =
Autonomous trucking company Kodiak Robotics has officially commenced=
road testing on public California highways following state regulatory
=
clearance.=20
NOKIA QUITS R&D IN CHINA AND CUTS 1,600 JOBS (3 MINUTE RE=
AD) [15]=20
Nokia is shutting down its research and development operati=
ons in
China and cutting approximately 1,600 jobs as part of a broader
=
corporate restructuring and cost-reduction program.=20
ETCHED IS SCOOPI=
NG UP NVIDIA TALENT (3 MINUTE READ) [16]=20
Etched, a high-flying AI ch=
ip startup, is aggressively poaching
senior hardware engineers and system=
architects directly from Nvidia.=20
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TH US
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If you have any comments or feedback, just resp=
ond to this email!=20
Thanks for reading,=20
Kshitij Sudan [21] & Adi Ni=
kumbh [22]=20
Manage your subscriptions [23] to our other newsletters o=
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<div style=3D"display: none; max-height: 0px; overflow: hidden;">Etched rai= sed $700 million at a $21 billion valuation, led by Jane Street, just a mon=
th after closing a $10.3 billion round and eight months removed =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 =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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<div style=3D"text-align: center;">
<h1><strong>TLDR Hardware <span id=3D"date">2026-08-19</span></strong></h1> </div>
</td></tr></tbody></table>
<table style=3D"table-layout: fixed; width:100%;" width=3D"100%"><tbody></t= body></table>
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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"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>
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<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%2Flinks.tldrnewsletter.com%2F3j7xIa/1/010001a01a418e45-d0= 9cf31b-a887-4dc3-8a8d-5f2332a2271a-000000/bdQDQZWPwWTC_bpRWGv5vA1lkh4TDf_g3= 4xahp8iRF8=3D452">
<span>
<strong>Etched Doubles Valuation Ag= ain to $21B, Jane Street Puts First Rack Into Production (3 minute read)</s= trong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Etched raised $700 million at a $21 bil= lion valuation, led by Jane Street, just a month after closing a $10.3 bill= ion round and eight months removed from a $5 billion valuation in December.=
The jump is backed by real deployment: Jane Street tested and bought Etche= d's hardware before investing, and has now put its first =E2=80=9Cfrontier = inference cluster=E2=80=9D rack into production in its own data center. Etc= hed's pitch centers on two custom-built components for AI inference, a low-= voltage prefill chip and a new memory/interconnect design for the decode st= age, and the company has walked back its original plan to etch specific mod= els into silicon in favor of systems that run any frontier model.
</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.tomshardware.com%2Ftech-industry%2Fartificial-intel= ligence%2Fgoogle-reportedly-taps-amd-to-design-next-generation-tpu-hybrid-a= i-asic-could-integrate-on-package-cpu-cores-for-reinforcement-learning%3Fut= m_source=3Dtldrhardware/1/010001a01a418e45-d09cf31b-a887-4dc3-8a8d-5f2332a2= 271a-000000/RC7JdFqfo8uckxVbzos5XECgXoAduWowqLfOqNGgsyk=3D452">
<span>
<strong>Google Reportedly Taps AMD =
to Design Next-Generation TPU (3 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Google is reportedly collaborating with=
AMD to develop a 10th-generation TPU variant featuring on-package CPU core=
s and advanced 3D packaging. While Google maintains its long-standing partn= ership with Broadcom for conventional AI accelerators, this hybrid design i=
s expected to leverage AMD's x86 CPU IP and SoIC packaging expertise to int= egrate general-purpose compute directly alongside TPU matrix engines. The a= rchitectural shift targets complex reinforcement learning, reasoning, and a= gentic workloads that demand low-latency execution and higher CPU-to-accele= rator compute ratios than standard LLM pipelines.
</span>
</span>
</div>
</td></tr></tbody></table>
</td></tr></tbody></table>
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<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%2Flinks.tldrnewsletter.com%2Fb7bpPO/1/010001a01a418e45-d0= 9cf31b-a887-4dc3-8a8d-5f2332a2271a-000000/iIZRQU3ZM8PVKRU0fL4k93iblL1ngjvDj= nfYa8Em-WU=3D452">
<span>
<strong>Cerebras Says Its New Compu= ter Boosts AI Speed Advantage Over Nvidia (3 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Cerebras Systems has announced its next= -generation wafer-scale AI supercomputing system, claiming substantial spee=
d and throughput advantages over Nvidia's flagship accelerators. Built arou=
nd its massive single-wafer processor architecture, the new machine elimina= tes inter-chip interconnect bottlenecks to deliver ultra-low latency and hi= gher tokens-per-second performance for large language models. The rollout s= harpens competition in datacenter AI infrastructure as Cerebras pitches its=
specialized wafer-scale silicon as a higher-performance, power-efficient a= lternative to traditional multi-GPU clusters for frontier model training an=
d real-time inference.
</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.electronicsweekly.com%2Fnews%2Fbusiness%2Fnvidia-bo= oks-tsmc-1-6nm-process-for-feynman-in-h2-2028-2026-08%2F%3Futm_source=3Dtld= rhardware/1/010001a01a418e45-d09cf31b-a887-4dc3-8a8d-5f2332a2271a-000000/B-= ZMh92RC3MV-hJRmvAaSO4B5oIa2JLOPuSyc7I549M=3D452">
<span>
<strong>Nvidia Plans to Use TSMC 1.= 6nm Process for Feynman in H2 2028 (3 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Nvidia has reserved advanced production=
capacity on TSMC's 1.6nm (A16) manufacturing node for its next-generation = "Feynman" architecture, slated for production in the second half of 2028. I= ncorporating nanosheet transistors alongside backside power delivery networ= ks, TSMC's A16 process offers substantial improvements in logic density, po= wer efficiency, and signal routing. By securing early foundry capacity, Nvi= dia locked in its long-term hardware roadmap.
</span>
</span>
</div>
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<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%2Frunware.ai%2Fsonic-inference-pod%3Futm_source=3Dtldr-te= ch%26utm_medium=3Dpaid-newsletter%26utm_campaign=3D2026-08-20206-08-sonic_p= ods_launch%26utm_content=3D2026-08-14_sonic-pods-hardware-nl-secondary-1/1/= 010001a01a418e45-d09cf31b-a887-4dc3-8a8d-5f2332a2271a-000000/xMaTRGYCBHfdXI= BC1dua1tja0SSbCGGy4l7Jgm6L58M=3D452">
<span>
<strong>Data centers built in weeks=
(Sponsor)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
Runware is building its own infrastruct= ure to make AI compute cheaper and more abundant. Sonic Inference Pods pack=
up to 1200 GPUs into modular 1MW data centers, deployed in weeks rather th=
an years and purpose-built to squeeze more performance from every GPU. <a h= ref=3D"
https://tracking.tldrnewsletter.com/CL0/https:%2F%2Frunware.ai%2Fson= ic-inference-pod%3Futm_source=3Dtldr-tech%26utm_medium=3Dpaid-newsletter%26= utm_campaign=3D2026-08-20206-08-sonic_pods_launch%26utm_content=3D2026-08-1= 4_sonic-pods-hardware-nl-secondary-1/2/010001a01a418e45-d09cf31b-a887-4dc3-= 8a8d-5f2332a2271a-000000/dIylza3FdS9LeIOtDMnsdmNRjX2QaTkkzClVjaOKb5A=3D452"=
rel=3D"noopener noreferrer nofollow" target=3D"_blank"><span>Run any AI wo= rkload on them through Runware Serverless</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%2Fwww.eetimes.com%2Ffluid-side-observability-expands-ai-h= ardware-reliability%2F%3Futm_source=3Dtldrhardware/1/010001a01a418e45-d09cf= 31b-a887-4dc3-8a8d-5f2332a2271a-000000/jzKci6Dq7skxHpqndskwo20Yn9LROutRG61H= bDN4HNs=3D452">
<span>
<strong>Fluid-Side Observability Ex= pands AI Hardware Reliability (4 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
As liquid cooling becomes standard for = high-power AI accelerators, heat now travels through a whole chain - cold p= late, manifold, hoses, distribution unit, and facility heat rejection - rat= her than staying inside the server, meaning problems anywhere along that pa=
th can quietly eat into a chip's thermal margin before temperature alarms e= ver trigger. Component temperature alone only confirms a chip is currently = within limits - it doesn't reveal how hard the control system is working to=
hold that temperature or how much margin is left, since pumps and valves a=
re designed to compensate for developing issues invisibly.
</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%2Fsemiengineering.com%2F800vdc-pushes-ai-power-design-fro= m-grid-to-gate%2F%3Futm_source=3Dtldrhardware/1/010001a01a418e45-d09cf31b-a= 887-4dc3-8a8d-5f2332a2271a-000000/grKvhMBbVb9MNLQXIJFrCrGNwdHvcbneKfI4qZhZ4= O0=3D452">
<span>
<strong>800VDC Pushes AI Power Desi=
gn From Grid To Gate (4 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
This article details how AI datacenters=
are evaluating the transition to 800VDC architectures of power distributio=
n. Moving away from current 48V distribution streamlines the conversion pat=
h from medium-voltage grid AC to sub-1V silicon, cutting conversion heat lo= sses and reducing heavy copper cabling requirements. Realizing this grid-to= -gate efficiency relies on silicon carbide (SiC) and gallium nitride (GaN) = power semiconductors, solid-state transformers, and upgraded DC-rated switc= hgear to manage high-voltage safety and rapid load switching across AI clus= ters. While these technologies are rapidly maturing, it still may take year=
s to change datacenter designs that form the bedrock of all computing stack=
s.
</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.investing.com%2Fanalysis%2Fchinas-ai-hardware-boom-= offers-an-escape-from-wall-streets-circular-trade-200685935%3Futm_source=3D= tldrhardware/1/010001a01a418e45-d09cf31b-a887-4dc3-8a8d-5f2332a2271a-000000= /vCGS5d2lCD2velJCk8Fkq04BB0Ek1t8vhAOy3KMKpdI=3D452">
<span>
<strong>China's AI Hardware Exports=
Offer a Way Out of Wall Street's Circular AI Trade (4 minute read)</strong=
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
US AI investment has become dangerously=
circular. Suppliers are financing customers who spend that capital back on=
the suppliers' own hardware, making it hard to separate real end-user dema=
nd from financial engineering. China's push into overseas industrial AI har= dware, robotics, data-center equipment, and automated production systems ha=
s a cleaner signal, since a robot shipped abroad and installed on a factory=
floor can be checked against customs data and production volumes rather th=
an internal financing loops.
</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.scmp.com%2Fopinion%2Fworld-opinion%2Farticle%2F3363= 884%2Fus-china-tech-war-coming-ais-plumbing%3Futm_source=3Dtldrhardware/1/0= 10001a01a418e45-d09cf31b-a887-4dc3-8a8d-5f2332a2271a-000000/MXy9gg_PoV5JY03= KNGG5fzKnk-EXB4fOtHtgQkFXvlY=3D452">
<span>
<strong>The US-China Tech War Is Co= ming for AI's Plumbing (3 minute read)</strong>
</span>
<span style=3D"font-family: "Helvetica Neue", Helvetica, Arial, V= erdana, sans-serif;">
The reported FCC ban on Chinese optical=
transceivers shows that the US-China tech war is expanding past chips and = into the smallest links of AI's physical plumbing. Washington's concern cen= ters on data theft, service disruption, and long-term dependence, since the=
se modules sit physically embedded throughout the network and could theoret= ically carry malware. A sudden ban risks backfiring, as US suppliers can't = match Chinese scale, leading hyperscalers like Amazon and Microsoft to face=
real supply disruption if forced to substitute quickly.
</span>
</span>
</div>
</td></tr></tbody></table>
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<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>
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<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"
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