Neural AI, LLC v. Tesla Inc. — Entry #6: CORRECTED MOTION to Compel Compliance With Subpoena Served on Third Party Tesla, Inc
Case: Neural AI, LLC v. Tesla Inc. txwd · 7:26-cv-00318
filed August 17, 2026
What this document is
Docket entry #6 · filed August 18, 2026
CORRECTED MOTION to Compel Compliance With Subpoena Served on Third Party Tesla, Inc. by Neural AI, LLC. (Attachments: # 1 Affidavit Declaration of Tanner Laiche, # 2 Exhibit 1, # 3 Exhibit 2, # 4 Exhibit 3, # 5 Exhibit 4, # 6 Exhibit 5, # 7 Exhibit 6, # 8 Exhibit 7, # 9 Exhibit 8, # 10 Exhibit 9, # 11 Exhibit 10, # 12 Exhibit 11, # 13 Exhibit 12, # 14 Exhibit 13, # 15 Exhibit 14, # 16 Exhibit 15, # 17 Exhibit 16, # 18 Exhibit 17, # 19 Exhibit 18, # 20 Exhibit 19, # 21 Exhibit 20, # 22 Exhibit 21, # 23 Proposed Order)(Magni, Rocco) (Entered: 08/18/2026)
Who is involved
- Neural AI, LLC
- Tesla Inc.
Why we have it
We follow this case because it names a company we track, although that company is not a party:
- CoreWeave: its name “CoreWeave” appears in a filing in this case.
…following third- parties in this district: xAI, Meta, CoreWeave, Google, and Oracle. See, e.g., Case Nos. 7:26-mc-…
A free copy from the RECAP archive of federal court filings (mirrored at the Internet Archive), retrieved September 29, 2026. Federal court filings are public records.
Document text
4 page(s), 8,488 characters, converted from the PDF's text layer · plain text.
Full text
Case 7:26-mc-00318-LS Document 6-15 Filed 08/18/26 Page 1 of 4
EXHIBIT
14
Case 7:26-mc-00318-LS Document 6-15 Filed 08/18/26 Page 2 of 4
US Edition RSS Sign in Search
Best Picks CPUs GPUs PC Components News Laptops Desktops Software & AI Coupons Premium Forums
TRENDING Tom's 30th Anniversary AMD Advancing AI RAM Shortage Vera Rubin AI Data Centers RAM Combo Deals TH Premium AMD Instinct MI455X DLSS
PC Components > GPUs ADVERTISEMENT
Tesla Brags About In-House
Supercomputer, Now With 7,360 A100
GPUs
News By Mark Tyson Published August 17, 2022
With a 28% increase in GPUs, it's now a top-7 supercomputer
worldwide by GPU count
(Image credit: Tesla)
9 Follow us Newsletter
Tesla has boosted its in-house AI supercomputer with thousands of
additional Nvidia A100 GPUs. The Tesla supercomputer had 5,760 A100
GPUs about a year ago, and that count has since risen to 7,360 A100 GPUs
— that's an additional 1,600 GPUs, or about a 28% increase.
According to Tesla Engineering Manager Tim Zaman, this upgrade makes
the firm's AI system a top-7 supercomputer worldwide by GPU count.
An Nvidia A100 GPU is a powerful Ampere architecture solution aimed at
data centers. Yes, it uses the same GPU architecture as GeForce RTX 30
series GPUs, which are some of the best graphics cards currently
ADVERTISEMENT
available. However, there is no close consumer relation to the A100, which
comes with 80GB of HBM2e memory on board, offers up to 2 TB/s
bandwidth, and requires up to 400W of power. The architecture of the
A100 has also been tweaked for accelerating tasks common in AI, data
analytics, and high-performance computing (HPC) applications.
Latest Videos From Tom's Hardware
Ad 1 of 2.
Watch full video here: How to get rid of Google's AI overviews
The first system Nvidia showed wielding the A100 was the Nvidia DGX
A100, which packed in eight A100 GPUs linked via six NVSwitch with 4.8
TBps of bi-directional bandwidth for upJoin
to 10 PetaOPS
Tom’s of INT8 today
Hardware ADVERTISEMENT EXPLORE
Case 7:26-mc-00318-LS Document 6-15 Filed 08/18/26 Page 3 of 4
performance, 5 PFLOPS of FP16, 2.5 TFLOPS of TF32, and 156 TFLOPS of
FP64 in a single node.
That was eight A100 GPUs — Tesla's AI supercomputer now has 7,360 of
these. Tesla hasn't publicly benchmarked its AI supercomputer, but the
similarly-equipped GPU-based NERSC Perlmutter, which has 6,144 Nvidia
A100 GPUs, achieves 70.87 Linpack petaflops. Using this and data from
other A100 GPU supercomputers as performance reference points, HPC
Wire estimates the Tesla AI supercomputer is capable of achieving about
100 Linpack petaflops.
YOU MAY LIKE
China bypasses US GPU bans with 1.54-exaflops 'LineShine'
supercomputer
Google could build more AI accelerators than Nvidia sells in
2028, analyst claims
Nvidia's memory costs soar 485%, latest AI systems now cost
$7.8 million to build
Tesla doesn’t intend to continue down the Nvidia GPU architecture path
for its in-house AI supercomputers long-term. This world’s top-7 machine
by GPU-count is merely a precursor to the upcoming Dojo supercomputer,
which was first announced by Elon Musk back in 2020. A year ago we got a
look at the Tesla D1 Dojo chip, which are designed to supplant Nvidia's
GPUs for “maximum performance, throughput and bandwidth at every
granularity.”
ADVERTISEMENT
(Image credit: Tesla)
The Tesla Dojo D1 is a custom ASIC (application-specific integrated circuit)
design, purposed for AI training, and it is one of the first ASICs in this field.
Current D1 test chips are manufactured on TSMC N7 and pack in about 50
million transistors.
Stay On the Cutting Edge: Get the Tom's
Hardware Newsletter
Get Tom's Hardware's best news and in-depth reviews, straight to
your inbox.
Your Email Address SIGN ME UP
By signing up, you agree to our Terms of services and acknowledge that you
have read our Privacy Notice. You also agree to receive marketing emails from
us that may include promotions from our trusted partners and sponsors, which
you can unsubscribe from at any time.
More information about the Dojo D1 chip, and the Dojo system, might be
revealed at next week's Hot Chips Symposium — three Tesla
presentations are schedule for next Tuesday, addressing Dojo D1 chip
architecture, Dojo and ML training, and enabling AI through system
integration.
ADVERTISEMENT
TOPICS
Nvidia Science GeForce
Ad 1 of 2.
SEE ALL COMMENTS (9)
Mark Tyson News Editor
Join Tom’s Hardware today EXPLORE
Case 7:26-mc-00318-LS Document 6-15 Filed 08/18/26 Page 4 of 4
REPLY
cirdecus
Mandark said:
Nothing like vertical integration. ALWAYS make your OWN stuff to
control your destiny. Don’t believe the fools that say it’s cheaper to
outsource it’s not. Outsource companies need to make a profit too.
And when you outsource you lose the ability to innovate
I love to see Tesla vertically integrate. It’s one of the main reasons for
their success
Completely agree. It does, however, tend to condense power which
could mean less consumer choice, but vertical integration is where it's
at. I never thought I'd see Amazon buying their own fleet of transport
vehicles, planes and ships lol.
REPLY
jtenorj
Noticed a mistake in your article. You state that Tesla's D1 chip has 50
million transistors when Telsa's slide for the chip clearly shows 50 billion.
That's a difference of 3 orders of magnitude. 50 billion is also much
more in line with the chip's size in mm squared as well as its 400w power
draw on a modern fairly compact process node.
REPLY
SHOW MORE COMMENTS
Tom's Hardware is part of Future US Inc, an international media group and leading digital publisher. Visit our corporate site.
Terms and conditions Contact Future's experts Privacy policy Cookies policy
Accessibility Statement Advertise with us About us Coupons
Careers Do not sell or share my personal
information
© Future US, Inc. Full 7th Floor, 130 West 42nd Street, New York, NY 10036.
Ad 1 of 2.