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Anthropic opened a research preview of the Model Hardware Standard
(MHS),=
a shared driver spec that lets AI agents discover and operate
lab=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 =


=09=09TOGETHER WITH [SiMa.ai] [4]

TLDR HARDWARE 2026-08-28

=
BUILDING PHYSICAL AI? YOUR PRODUCT SHOULDN'T PAY THE GPU TAX
(SPONSOR) [=
4]=20

Don't let rising GPU prices and thermal demands bottleneck your=

innovation. SiMa.ai's hardware/software co-optimized platform is
purpo=
se-built for Physical AI, delivering up to 10x better performance
per wat=
t than industry alternatives=E2=80=94without the GPU price premium.

Wo=
rried about switching costs? SiMa.ai's PALETTE NEAT [5] utilizes an
agent=
ic development workflow that analyzes your NVIDIA code repository
and hel=
ps migrate your application logic. This automatically maps your
codebase =
to SIMA.AI SILICON [6], preserving ~90% of your legacy
software investmen=
t while eliminating CUDA dependencies.=C2=A0=C2=A0

Unlock best-in-clas=
s performance and escape vendor lock-in. Read the
NVIDIA TO SIMA.AI MIGRA=
TION GUIDE [7] today.

=F0=9F=93=B1=20

HEADLINES AND LAUNCHES

=
ANTHROPIC PREVIEWS A UNIVERSAL DRIVER LETTING CLAUDE CONTROL ANY LAB
OR F=
ACTORY HARDWARE (5 MINUTE READ) [8]=20

Anthropic opened a research prev=
iew of the Model Hardware Standard
(MHS), a shared driver spec that lets =
AI agents discover and operate
lab and manufacturing instruments, microsc=
opes, liquid handlers,
robotic arms, and laser systems through a single i=
nterface instead of
the bespoke, vendor-specific integrations that normal=
ly take weeks or
months to build. The driver uses simple read/write primi=
tives any
device can implement, plus natural-language tags that capture p=
hysical
characteristics (like a robot arm's weight) that used to live onl=
y in
paper manuals or an engineer's head, giving the agent everything it=

needs.=20

PERPLEXITY AND NVIDIA UNVEIL "PORTABLE COMPUTER" FOR OFFLI=
NE LOCAL AI
EXECUTION (3 MINUTE READ) [9]=20

Perplexity has partnered=
with Nvidia to launch Portable Computer, an
agentic Computer platform de=
signed to execute advanced AI agent
workflows entirely on-device without =
continuous cloud API dependency
or recurring token costs. Powered by Nvid=
ia's compact edge silicon
architecture, the system runs quantized local i=
nference models to
process multimodal search, complex reasoning, and pers=
istent agentic
tasks directly at the edge.=20

=F0=9F=94=A8=20

ENGIN=
EERING AND APPLICATIONS

NVME 2.4 SPECIFICATION ADDS POST-QUANTUM CRYP=
TOGRAPHY AND GRANULAR
POWER MANAGEMENT (3 MINUTE READ) [10]=20

The NV=
M Express organization has released the NVMe 2.4 specification,
integrati=
ng quantum-resistant encryption algorithms and advanced
telemetry to addr=
ess future-proofed enterprise security and datacenter
energy constraints.=
These enhancements formalize a critical
hardware-level bridge between ne=
xt-generation flash controllers and
high-efficiency datacenter storage ar=
chitectures.=20

ADVANCED PACKAGING AND THERMAL BOTTLENECKS COMPLICATE H=
IGH-LAYER HBM
SCALING (3 MINUTE READ) [11]=20

As high-bandwidth memor=
y (HBM) architectures scale to 12-high and
16-high vertical DRAM stacks, =
semiconductor packaging faces severe
physical limits across thermal dissi=
pation, mechanical stress, and die
warpage. Thinner DRAM silicon substrat=
es required to maintain JEDEC
package height profiles exacerbate through-=
silicon via (TSV)
structural fatigue and increase susceptibility to micro=
-cracking
during thermal cycling. The escalating complexity and defect de=
nsity
risks underscore that packaging and thermal reliability=E2=80=94rat=
her than
pure lithography=E2=80=94now dictate the economic scaling and me=
mory
bandwidth roadmap for frontier AI hardware accelerators.=20

=
=F0=9F=A7=A0=20

RESEARCH AND PROTOTYPES

ROS2SMOLVLA: DEPLOYING VLA=
MODELS ON AN INDUSTRIAL CO-BOT (10 MINUTE
READ) [12]=20

ROS2SmolVLA =
is an open-source ROS 2 interface that deploys Hugging
Face's lightweight=
SmolVLA model directly onto an industrial Universal
Robots UR10e arm for=
local, vision-guided pick-and-place. If you have
been playing with an SO=
-101 arm and would like to graduate up to
controlling an industrial co-bo=
ts, this looks like a great starter
solution.=20

NVIDIA COMPASS: CROS=
S-EMBODIMENT ROBOT NAVIGATION POLICY (5 MINUTE
READ) [13]=20

NVIDIA j=
ust dropped a new tutorial on COMPASS, an agent-assisted
residual reinfor=
cement learning framework designed to adapt pretrained
X-Mobility locomot=
ion policies to different robotic platforms (such as
Boston Dynamics' Spo=
t). It offers developers a powerful methodology to
reuse general navigati=
on and locomotion skills across varied physical
platforms, vastly reducin=
g the time and cost required to train new
hardware embodiments from scrat=
ch.=20

=F0=9F=8E=81=20

MISCELLANEOUS

SIFIVE DEBUTS BIGSKY 2U SE=
RVER PLATFORM WITH 32 P870-D RISC-V CORES
(3 MINUTE READ) [14]=20

Big=
Sky SF-2U870 is an enterprise-grade 2U rackmount development
platform des=
igned to accelerate RISC-V datacenter software validation
and workload po=
rting. Built around 32 high-performance P870-D cores
clocked at 2.0 GHz, =
the system features full compliance with the RVA23
profile standard along=
side support for 256 GB of DDR5-5600 memory, 64
PCIe Gen 5 lanes across f=
our x16 slots, and dual U.2 NVMe storage. In
addition to running enterpri=
se distributions like Ubuntu 26.04 LTS and
RHEL 10 out of the box, the pl=
atform can act as an accelerated host
node, running Nvidia CUDA workloads=
directly on RISC-V hardware ahead
of future NVLink Fusion integration. =


ROS 2 PACKAGES FOR ROBOTIQ ADAPTIVE GRIPPERS (3 MINUTE READ) [15] =


Robotiq's official, first-party ROS 2 driver release for its 2F-85=

and 2F-140 adaptive grippers brings optimized C++ SDK communication,
M=
odbus-cycle grouping for 200 Hz control, and integrated hardware
simulati=
on. This release is critical for commercial integrators, as
transitioning=
from community drivers to official manufacturer support
guarantees long-=
term driver stability, API safety, and reliable
end-effector control.=20
=

=E2=9A=A1=20

QUICK LINKS

AMAZON TO DEPLOY 2 MILLION NVIDIA GPUS=
ACROSS GLOBAL DATA CENTER
FLEET (3 MINUTE READ) [16]=20

Amazon is se=
t to purchase two million Nvidia graphics processing
units for its global=
data center infrastructure over the next two
years to support frontier A=
I model training and cloud inference
workloads.=20

ANTHROPIC SIGNS $4=
5 BILLION INFRASTRUCTURE DEAL WITH NSCALE FOR VERA
RUBIN COMPUTE (3 MINUT=
E READ) [17]=20

Anthropic has entered into a six-year, $45 billion clou=
d computing
agreement with London-based infrastructure provider Nscale to=
secure
460 megawatts of dedicated capacity at the Monarch campus in Maso=
n
County, West Virginia.=20

AMAZON HIKES HARDWARE PRICES UP TO 60% CI=
TING AI-DRIVEN MEMORY
SHORTAGES (3 MINUTE READ) [18]=20

Amazon has ra=
ised retail pricing across its consumer hardware
portfolio by as much as =
60%, citing severe cost inflation for memory
and storage components drive=
n by enterprise AI infrastructure demand.=20

PLAUD UNVEILS PLAUD ONE AI=
EARBUDS WITH BUILT-IN 4G LTE CONNECTIVITY
(3 MINUTE READ) [19]=20

Pl=
aud has announced the Plaud One Explorer Edition, a $250 pair of
true wir=
eless AI earbuds paired with an eSIM-enabled 4G LTE charging
case designe=
d for standalone voice capture and agentic task execution
without a paire=
d smartphone.=20

Want to advertise in TLDR? =F0=9F=93=B0

If your c=
ompany is interested in reaching an audience of hardware
professionals an=
d decision makers, you may want to ADVERTISE WITH US
[20].=20

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or send a friend's resume
to jobs@tldr.tech and get $1k if we hire them!=
TLDR is one of INC.'S
BEST BOOTSTRAPPED BUSINESSES [23] of 2025.=20

=
If you have any comments or feedback, just respond to this email!=20

Tha=
nks for reading,=20
Kshitij Sudan [24] & Adi Nikumbh [25]=20

Manage you=
r subscriptions [26] to our other newsletters on tech,
startups, and prog=
ramming. Or if TLDR Hardware isn't for you, please
unsubscribe [27].=20
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[9] https://venturebeat.com/infrastructure/perplexity-partners-with-nvid= ia-to-launch-portable-computer-a-fully-local-ai-agent-with-zero-token-costs= ?utm_source=3Dtldrhardware
[10] https://www.eetimes.com/nvme-2-4-update-a= dds-post-quantum-security-power-controls/?utm_source=3Dtldrhardware
[11] = https://semiengineering.com/issues-stack-up-with-more-hbm-layers/?utm_sourc= e=3Dtldrhardware
[12] https://una-auxme.github.io/en/projects/ros2smolvla= /?utm_source=3Dtldrhardware
[13] https://developer.nvidia.com/blog/how-to= -train-a-cross-embodiment-robot-navigation-policy-with-ai-agents/?utm_sourc= e=3Dtldrhardware
[14] https://chipsandcheese.com/p/sifives-first-server-p= latform?utm_source=3Dtldrhardware
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[1=
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[18] https://techcrunch.com/2026/08/24/amazon-hi= kes-hardware-prices-by-60-percent-blaming-memory-shortage/?utm_source=3Dtld= rhardware
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<div style=3D"display: none; max-height: 0px; overflow: hidden;">Anthropic = opened a research preview of the Model Hardware Standard (MHS), a shared dr= iver spec that lets AI agents discover and operate lab&nbsp;=E2=80=8C&nbsp;= =E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;= =E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;= =E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;= =E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;= =E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;= &nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C= &nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C= &nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C= &nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C= &nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C&nbsp;=E2=80=8C= &nbsp;=E2=80=8C&nbsp;</div>

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<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">2026-08-28</span></strong></h1> </div>
</td></tr></tbody></table>

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<a href=3D"https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fgo.sima.ai%2F4gGfINj/2/010001a04882a9e4-bb3523c8-371e-4= 09a-838f-3bcc6f415510-000000/DV2XolJBdg28i4kHzg4NtpbTk2p144fd9hmdjYIv2rA=3D= 452">
<span>
<strong>Building Physical AI? Your = product shouldn't pay the GPU tax (Sponsor)</strong>
</span>



<span style=3D"font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, V= erdana, sans-serif;">
Don't let rising GPU prices and thermal=
demands bottleneck your innovation. SiMa.ai's hardware/software co-optimiz=
ed platform is purpose-built for Physical AI, delivering up to 10x better p= erformance per watt than industry alternatives=E2=80=94without the GPU pric=
e premium.<p></p><p>Worried about switching costs? SiMa.ai's <a href=3D"htt= ps://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgo.sima.ai%2F4izjdHD/1/010= 001a04882a9e4-bb3523c8-371e-409a-838f-3bcc6f415510-000000/9b6NPrRzu9LAAefzT= aXPUBQV-jKH17ROZro5ZtJJdqQ=3D452" rel=3D"noopener noreferrer nofollow" targ= et=3D"_blank"><span><strong>Palette Neat</strong></span></a> utilizes an ag= entic development workflow that analyzes your NVIDIA code repository and he= lps migrate your application logic. This automatically maps your codebase t=
o <a href=3D"https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgo.sima.ai= %2F4xoYxa3/1/010001a04882a9e4-bb3523c8-371e-409a-838f-3bcc6f415510-000000/E= 8eWEVkS1QUcDjhgeRrQ_9cPLwZZFkerVL_CSsmOqGE=3D452" rel=3D"noopener noreferre=
r nofollow" target=3D"_blank"><span><strong>SiMa.ai silicon</strong></span>= </a>, preserving ~90% of your legacy software investment while eliminating = CUDA dependencies.&nbsp;&nbsp;</p>

<p>Unlock best-in-class performance and escape vendor lock-in. Read the <a = href=3D"https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fgo.sima.ai%2F4g= UByxI/1/010001a04882a9e4-bb3523c8-371e-409a-838f-3bcc6f415510-000000/PlUodJ= AfOyxkrltFzeXipldLxY6xfAboZKFCbzpoucI=3D452" rel=3D"noopener noreferrer nof= ollow" target=3D"_blank"><span><strong>NVIDIA to SiMa.ai Migration Guide</s= trong></span></a> today.



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<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%2Fwww.anthropic.com%2Fnews%2Fmodel-hardware-standard-rese= arch-preview%3Futm_source=3Dtldrhardware/1/010001a04882a9e4-bb3523c8-371e-4= 09a-838f-3bcc6f415510-000000/mhKHyuLqyV-_a0mt1kAKs5l3QNaJwgOz-JWIavELj-k=3D= 452">
<span>
<strong>Anthropic previews a univer= sal driver letting Claude control any lab or factory hardware (5 minute rea= d)</strong>
</span>



<span style=3D"font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, V= erdana, sans-serif;">
Anthropic opened a research preview of = the Model Hardware Standard (MHS), a shared driver spec that lets AI agents=
discover and operate lab and manufacturing instruments, microscopes, liqui=
d handlers, robotic arms, and laser systems through a single interface inst= ead of the bespoke, vendor-specific integrations that normally take weeks o=
r months to build. The driver uses simple read/write primitives any device = can implement, plus natural-language tags that capture physical characteris= tics (like a robot arm's weight) that used to live only in paper manuals or=
an engineer's head, giving the agent everything it needs.
</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%2Fventurebeat.com%2Finfrastructure%2Fperplexity-partners-= with-nvidia-to-launch-portable-computer-a-fully-local-ai-agent-with-zero-to= ken-costs%3Futm_source=3Dtldrhardware/1/010001a04882a9e4-bb3523c8-371e-409a= -838f-3bcc6f415510-000000/eKLONthxCsQplb3O9-PNlKhrPwL2frziLcfp1xp2pL8=3D452=

<span>
<strong>Perplexity and Nvidia Unvei=
l "Portable Computer" for Offline Local AI Execution (3 minute read)</stron=

</span>



<span style=3D"font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, V= erdana, sans-serif;">
Perplexity has partnered with Nvidia to=
launch Portable Computer, an agentic Computer platform designed to execute=
advanced AI agent workflows entirely on-device without continuous cloud AP=
I dependency or recurring token costs. Powered by Nvidia's compact edge sil= icon architecture, the system runs quantized local inference models to proc= ess multimodal search, complex reasoning, and persistent agentic tasks dire= ctly at the edge.
</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%2Fwww.eetimes.com%2Fnvme-2-4-update-adds-post-quantum-sec= urity-power-controls%2F%3Futm_source=3Dtldrhardware/1/010001a04882a9e4-bb35= 23c8-371e-409a-838f-3bcc6f415510-000000/8dumh01KDGVnouE3mz-_ojeITj6JwSHkzHb= 1tQO4--c=3D452">
<span>
<strong>NVMe 2.4 Specification Adds=
Post-Quantum Cryptography and Granular Power Management (3 minute read)</s= trong>
</span>



<span style=3D"font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, V= erdana, sans-serif;">
The NVM Express organization has releas=
ed the NVMe 2.4 specification, integrating quantum-resistant encryption alg= orithms and advanced telemetry to address future-proofed enterprise securit=
y and datacenter energy constraints. These enhancements formalize a critica=
l hardware-level bridge between next-generation flash controllers and high-= efficiency datacenter storage architectures.
</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%2Fissues-stack-up-with-more-hbm-lay= ers%2F%3Futm_source=3Dtldrhardware/1/010001a04882a9e4-bb3523c8-371e-409a-83= 8f-3bcc6f415510-000000/dPAFyrdHDfMbPIifBSLfxMOtxrr7J9mDyJcwMWLQEkM=3D452">
<span>
<strong>Advanced Packaging and Ther= mal Bottlenecks Complicate High-Layer HBM Scaling (3 minute read)</strong>
</span>



<span style=3D"font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, V= erdana, sans-serif;">
As high-bandwidth memory (HBM) architec= tures scale to 12-high and 16-high vertical DRAM stacks, semiconductor pack= aging faces severe physical limits across thermal dissipation, mechanical s= tress, and die warpage. Thinner DRAM silicon substrates required to maintai=
n JEDEC package height profiles exacerbate through-silicon via (TSV) struct= ural fatigue and increase susceptibility to micro-cracking during thermal c= ycling. The escalating complexity and defect density risks underscore that = packaging and thermal reliability=E2=80=94rather than pure lithography=E2= =80=94now dictate the economic scaling and memory bandwidth roadmap for fro= ntier AI hardware accelerators.
</span>
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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>

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<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%2Funa-auxme.github.io%2Fen%2Fprojects%2Fros2smolvla%2F%3F= utm_source=3Dtldrhardware/1/010001a04882a9e4-bb3523c8-371e-409a-838f-3bcc6f= 415510-000000/ESn9LQjqnZNpYbAAQ5Yjkbu41f3FQ6xXmkxJXoA4c4s=3D452">
<span>
<strong>ROS2SmolVLA: Deploying VLA = Models on an Industrial Co-bot (10 minute read)</strong>
</span>



<span style=3D"font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, V= erdana, sans-serif;">
ROS2SmolVLA is an open-source ROS 2 int= erface that deploys Hugging Face's lightweight SmolVLA model directly onto =
an industrial Universal Robots UR10e arm for local, vision-guided pick-and-= place. If you have been playing with an SO-101 arm and would like to gradua=
te up to controlling an industrial co-bots, this looks like a great starter=
solution.
</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%2Fdeveloper.nvidia.com%2Fblog%2Fhow-to-train-a-cross-embo= diment-robot-navigation-policy-with-ai-agents%2F%3Futm_source=3Dtldrhardwar= e/1/010001a04882a9e4-bb3523c8-371e-409a-838f-3bcc6f415510-000000/qeAXGKCHLM= v9H-9EdEvd88kNRxzqtEkG40hG0PbP4j8=3D452">
<span>
<strong>NVIDIA Compass: Cross-Embod= iment Robot Navigation Policy (5 minute read)</strong>
</span>



<span style=3D"font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, V= erdana, sans-serif;">
NVIDIA just dropped a new tutorial on C= OMPASS, an agent-assisted residual reinforcement learning framework designe=
d to adapt pretrained X-Mobility locomotion policies to different robotic p= latforms (such as Boston Dynamics' Spot). It offers developers a powerful m= ethodology to reuse general navigation and locomotion skills across varied = physical platforms, vastly reducing the time and cost required to train new=
hardware embodiments from scratch.
</span>
</span>
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<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>

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<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%2Fchipsandcheese.com%2Fp%2Fsifives-first-server-platform%= 3Futm_source=3Dtldrhardware/1/010001a04882a9e4-bb3523c8-371e-409a-838f-3bcc= 6f415510-000000/PiPS9JDCBr6Iw1tFBLPdXTJVzlewAiKGKJ7fnsgfXQM=3D452">
<span>
<strong>SiFive Debuts BigSky 2U Ser= ver Platform with 32 P870-D RISC-V Cores (3 minute read)</strong>
</span>



<span style=3D"font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, V= erdana, sans-serif;">
BigSky SF-2U870 is an enterprise-grade =
2U rackmount development platform designed to accelerate RISC-V datacenter = software validation and workload porting. Built around 32 high-performance = P870-D cores clocked at 2.0 GHz, the system features full compliance with t=
he RVA23 profile standard alongside support for 256 GB of DDR5-5600 memory,=
64 PCIe Gen 5 lanes across four x16 slots, and dual U.2 NVMe storage. In a= ddition to running enterprise distributions like Ubuntu 26.04 LTS and RHEL =
10 out of the box, the platform can act as an accelerated host node, runnin=
g Nvidia CUDA workloads directly on RISC-V hardware ahead of future NVLink = Fusion integration.
</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%2Fblog.robotiq.com%2Frobotiq-releases-ros-2-packages-for-= adaptive-grippers%3Futm_source=3Dtldrhardware/1/010001a04882a9e4-bb3523c8-3= 71e-409a-838f-3bcc6f415510-000000/tLqgrvuSZkuyU690XFWDNT12k71fNzTTttqvlPOhK= mE=3D452">
<span>
<strong>ROS 2 Packages for Robotiq = Adaptive Grippers (3 minute read)</strong>
</span>



<span style=3D"font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, V= erdana, sans-serif;">
Robotiq's official, first-party ROS 2 d= river release for its 2F-85 and 2F-140 adaptive grippers brings optimized C=
++ SDK communication, Modbus-cycle grouping for 200 Hz control, and integra= ted hardware simulation. This release is critical for commercial integrator=
s, as transitioning from community drivers to official manufacturer support=
guarantees long-term driver stability, API safety, and reliable end-effect=
or control.
</span>
</span>
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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>
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<h1><strong>Quick Links</strong></h1>
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<strong>Amazon to Deploy 2 Million = Nvidia GPUs Across Global Data Center Fleet (3 minute read)</strong>
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<span style=3D"font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, V= erdana, sans-serif;">
Amazon is set to purchase two million N= vidia graphics processing units for its global data center infrastructure o= ver the next two years to support frontier AI model training and cloud infe= rence workloads.
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<a href=3D"https://tracking.tldrnewsletter.= com/CL0/https:%2F%2Fwww.cnbc.com%2F2026%2F08%2F26%2Fanthropic-and-nscale-st= rike-45-billion-cloud-deal-sources-say.html%3Futm_source=3Dtldrhardware/1/0= 10001a04882a9e4-bb3523c8-371e-409a-838f-3bcc6f415510-000000/MocyULy2yVssdj5= et6QUwll8rJ2OaV9zDWEVe1n_yPI=3D452">
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<strong>Anthropic Signs $45 Billion=
Infrastructure Deal with Nscale for Vera Rubin Compute (3 minute read)</st= rong>
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Anthropic has entered into a six-year, = $45 billion cloud computing agreement with London-based infrastructure prov= ider Nscale to secure 460 megawatts of dedicated capacity at the Monarch ca= mpus in Mason County, West Virginia.
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<strong>Amazon Hikes Hardware Price=
s up to 60% Citing AI-Driven Memory Shortages (3 minute read)</strong>
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Amazon has raised retail pricing across=
its consumer hardware portfolio by as much as 60%, citing severe cost infl= ation for memory and storage components driven by enterprise AI infrastruct= ure demand.
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<strong>Plaud Unveils Plaud One AI = Earbuds with Built-In 4G LTE Connectivity (3 minute read)</strong>
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<span style=3D"font-family: &quot;Helvetica Neue&quot;, Helvetica, Arial, V= erdana, sans-serif;">
Plaud has announced the Plaud One Explo= rer Edition, a $250 pair of true wireless AI earbuds paired with an eSIM-en= abled 4G LTE charging case designed for standalone voice capture and agenti=
c task execution without a paired smartphone.
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