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patrick

T2 · manager / operator

Guest on The Information podcast discussing AI chip competition, hyperscaler custom silicon, and rack-scale infrastructure; appears to be an executive at a company providing interconnect technology to hyperscalers and chip makers.

7 calls·5 names·29% bull·last heard last month·The Information
track record

no scored calls yet — needs a stated position or a categorical verdict, with a matured window vs SPY

top calls

highest conviction · one per company
1stmedium conviction
$INTCIntel

Intel entering rack-scale market to challenge Nvidia dominance

Intel is among the major semiconductor companies moving into rack-scale integration to compete with Nvidia and capture AI data center demand, signaling commitment to the market despite foundry challenges.

The Information2026-08episode →
2ndmedium conviction
$GOOGLAlphabet

Google TPU program advancing rapidly to generations 9 and 10

Google's custom TPU accelerator roadmap is progressing quickly through generation 8 to 9 and eventually 10, signaling sustained investment in proprietary AI silicon to reduce reliance on merchant GPUs.

The Information2026-08episode →
3rdmedium conviction
$ARMArm Holdings

Arm ecosystem players building rack-scale solutions for AI data centers

Arm and its ecosystem partners are developing rack-scale offerings to provide merchant alternatives to Nvidia's proprietary systems, leveraging Arm's architecture for custom AI accelerators.

The Information2026-08episode →

most discussed · click a bar to filter

  • $AMD
  • $NVDA
  • $INTC
  • $GOOGL
  • $ARM

recurring themes

  • AI Hardware & Chip Architecture1
  • Data Center Infrastructure1
7 total
$INTC
···
Intel
MEDpatrick·The Information·last month·Can Big Tech’s AI Chips Rival Nvidia?
Intel entering rack-scale market to challenge Nvidia dominance
Intel is among the major semiconductor companies moving into rack-scale integration to compete with Nvidia and capture AI data center demand, signaling commitment to the market despite foundry challenges.
"the AMDs, the Intels, the Arms of the world, they have no intention of walking away from this market, either... most of these large semiconductor companies, as well as the data ce…"
5:55
$GOOGL
···
Alphabet
MEDpatrick·The Information·last month·Can Big Tech’s AI Chips Rival Nvidia?
Google TPU program advancing rapidly to generations 9 and 10
Google's custom TPU accelerator roadmap is progressing quickly through generation 8 to 9 and eventually 10, signaling sustained investment in proprietary AI silicon to reduce reliance on merchant GPUs.
"TPUs are now in generation eight going to nine, eventually 10."
2:36
$ARM
···
Arm Holdings
MEDpatrick·The Information·last month·Can Big Tech’s AI Chips Rival Nvidia?
Arm ecosystem players building rack-scale solutions for AI data centers
Arm and its ecosystem partners are developing rack-scale offerings to provide merchant alternatives to Nvidia's proprietary systems, leveraging Arm's architecture for custom AI accelerators.
"the AMDs, the Intels, the Arms of the world, they have no intention of walking away from this market, either... most of these large semiconductor companies, as well as the data ce…"
5:55
$AMD
···
Advanced Micro Devices
MEDpatrick·The Information·last month·Can Big Tech’s AI Chips Rival Nvidia?
AMD pursuing rack-scale systems to compete with Nvidia and hyperscalers
AMD is unveiling full rack-scale systems and has no intention of exiting the AI data center market, joining Intel and Arm in offering merchant rack solutions to optimize the entire data path against Nvidia's proprietary stack.
"AMD for example unveiling their full rack scale system... the AMDs, the Intels, the Arms of the world, they have no intention of walking away from this market, either. In order to…"
5:55
$NVDA
···
Nvidia
MEDpatrick·The Information·last month·Can Big Tech’s AI Chips Rival Nvidia?
Nvidia dominates but hyperscalers building custom chips to gain independence
Nvidia executes well and holds dominant market share, but hyperscalers are aggressively developing proprietary accelerators (TPUs, AWS, Microsoft, Meta, Chinese giants) to reduce dependence and cost, creating a parallel competitive track.
"I think Nvidia does many many things right and well, hence the the market share and the position they've got in the marketplace. Um the the dynamic is a little bit different from…"
1:50
$NVDA
···
Nvidia
MEDpatrick·The Information·last month·Can Big Tech’s AI Chips Rival Nvidia?
Patrick: Nvidia dominates but hyperscalers building custom chips to cut dependency, Nvidia keeps interconnect proprietary
Nvidia's market leadership is being challenged by hyperscalers developing custom accelerators to reduce costs by up to 50%, while Nvidia's proprietary interconnect technology creates a barrier that companies like Patrick's aim to open up.
"I think Nvidia does many many things right and well, hence the the market share and the position they've got in the marketplace. Um the the dynamic is a little bit different from…"
1:50
$AMD
···
Advanced Micro Devices
LOWpatrick·The Information·last month·Can Big Tech’s AI Chips Rival Nvidia?
Patrick: AMD unveiling full rack-scale systems to compete with Nvidia in integrated solutions
AMD is entering the rack-scale system business to offer integrated solutions competing with Nvidia's rack offerings.
"the AMDs, the Intels, the Arms of the world, they have no intention of walking away from this market, either. In order to be more competitive against Nvidia and to think about how…"
5:55
9
AI Hardware & Chip Architecturetailwind
Hyperscalers building custom accelerators to cut Nvidia dependence, interconnect emerges as critical bottleneck
Major cloud providers (Google, AWS, Microsoft, Meta, Chinese giants) are developing proprietary AI chips to reduce costs, but interconnect technology remains a rare bottleneck that limits utilization; Nvidia keeps its interconnect internal, creating opportunity for alternative interconnect providers.
7
Data Center Infrastructuremixed
Rack-scale integration becomes three-way battleground between Nvidia, hyperscalers, and merchant semiconductor vendors
The industry is converging on rack-scale systems: Nvidia with proprietary racks, hyperscalers with custom silicon, and AMD/Intel/Arm offering merchant rack solutions; all aim to optimize the full data path for AI workloads.