AI Infrastructure Buildout

“Cổ phiếu AI”

aiinfrastructuresemiconductorsdata centersby anon · 11 days ago

The AI boom is driving massive capital spending on data centers, chips, and networking gear. Companies providing the physical and logical infrastructure for AI are seeing surging demand. This basket concentrates on the key enablers of AI compute, from chip designers to server makers to power and cooling providers. As AI models grow, so does the need for more powerful and efficient infrastructure.

Holdings: 12
Largest: 20%
Pillars: 4
Revisions: 1

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How it breaks down

Chip Designers

43%

Companies designing the processors and custom silicon that power AI compute.

Infrastructure & Networking

31%

Hardware and cloud services that enable AI data centers to operate efficiently.

Manufacturing & Memory

21%

Foundry and memory suppliers essential for producing AI chips.

Power & Energy

Energy providers ensuring reliable power for AI's growing consumption.

Holdings

Every position, why it is here, and its token on chain. Weights sum to exactly 100%.

Weight	Ticker	Company	Why it is here	Token
20%	NVDA	NVIDIA	NVIDIA's GPUs are the de facto standard for AI training and inference, making it the primary beneficiary of AI infrastructure spending.	0xd060…9EEC
15%	TSM	Taiwan Semiconductor Manufacturing	TSMC manufactures the most advanced AI chips for NVIDIA and others, making it the critical foundry partner for the AI supply chain.	0x58Ff…e7AA
10%	AVGO	Broadcom	Broadcom provides custom AI accelerators and networking chips for hyperscalers, directly tied to data center buildouts.	0x156E…fbcF
10%	VRT	Vertiv Holdings Co	Vertiv supplies thermal management and power infrastructure for data centers, essential for handling AI's high power density.	0xFA78…5fB7
8%	ANET	Arista Networks	Arista Networks sells high-speed Ethernet switches for AI clusters, enabling the massive data transfer required for distributed training.	0x28bA…d1Bf
7%	SMCI	Super Micro Computer	Super Micro provides full AI server solutions with liquid cooling, a key partner for deploying NVIDIA GPU systems.	0xc01a…562a
7%	AMD	AMD	AMD's MI300 series GPUs are a competitive alternative for AI workloads, gaining traction with major cloud providers.	0x8692…3fdC
6%	MRVL	Marvell Technology	Marvell designs custom silicon and networking for AI, including data processing units that offload networking tasks.	0x62fd…f13B
6%	MU	Micron Technology	Micron supplies high-bandwidth memory (HBM) essential for AI accelerators, directly tied to AI chip demand.	0xfF08…4afD
5%	CEG	Constellation Energy Corporation	Constellation Energy provides carbon-free nuclear power to data centers, addressing AI's massive electricity needs.	0xaE51…e94a
3%	CRWV	CoreWeave	CoreWeave is a specialized cloud provider for AI workloads, directly benefiting from the surge in AI compute demand.	0x5f10…49C3
3%	ALAB	Astera Labs, Inc.	Astera Labs offers connectivity solutions for AI infrastructure, enabling high-speed data transfer between accelerators.	0x748c…A3Dc

NVDANVIDIA20%
NVIDIA's GPUs are the de facto standard for AI training and inference, making it the primary beneficiary of AI infrastructure spending.
0xd060…9EEC
TSMTaiwan Semiconductor Manufacturing15%
TSMC manufactures the most advanced AI chips for NVIDIA and others, making it the critical foundry partner for the AI supply chain.
0x58Ff…e7AA
AVGOBroadcom10%
Broadcom provides custom AI accelerators and networking chips for hyperscalers, directly tied to data center buildouts.
0x156E…fbcF
VRTVertiv Holdings Co10%
Vertiv supplies thermal management and power infrastructure for data centers, essential for handling AI's high power density.
0xFA78…5fB7
ANETArista Networks8%
Arista Networks sells high-speed Ethernet switches for AI clusters, enabling the massive data transfer required for distributed training.
0x28bA…d1Bf
SMCISuper Micro Computer7%
Super Micro provides full AI server solutions with liquid cooling, a key partner for deploying NVIDIA GPU systems.
0xc01a…562a
AMDAMD7%
AMD's MI300 series GPUs are a competitive alternative for AI workloads, gaining traction with major cloud providers.
0x8692…3fdC
MRVLMarvell Technology6%
Marvell designs custom silicon and networking for AI, including data processing units that offload networking tasks.
0x62fd…f13B
MUMicron Technology6%
Micron supplies high-bandwidth memory (HBM) essential for AI accelerators, directly tied to AI chip demand.
0xfF08…4afD
CEGConstellation Energy Corporation5%
Constellation Energy provides carbon-free nuclear power to data centers, addressing AI's massive electricity needs.
0xaE51…e94a
CRWVCoreWeave3%
CoreWeave is a specialized cloud provider for AI workloads, directly benefiting from the surge in AI compute demand.
0x5f10…49C3
ALABAstera Labs, Inc.3%
Astera Labs offers connectivity solutions for AI infrastructure, enabling high-speed data transfer between accelerators.
0x748c…A3Dc

What breaks this

Written by the same model that built the basket, and not edited to sound better.

01The basket is heavily concentrated in AI infrastructure, so any slowdown in AI capital spending by major cloud providers would hurt all holdings.
02Semiconductor cyclicality and potential oversupply could lead to price declines and margin compression.
03Geopolitical tensions with Taiwan could disrupt TSM's manufacturing, impacting the entire AI chip supply chain.
04Rising interest rates could increase borrowing costs for capital-intensive data center projects, reducing demand.
05Technological shifts, such as new architectures or more efficient algorithms, could reduce the need for current hardware.

Changelog

Every revision to this basket, who made it, and when. A theory is allowed to change its mind in public.

by the modelSep 6, 2026
Basket created from the thesis. 12 holdings.

How this basket was made

Source: Generated
Model: deepseek-chat
Chain: Robinhood Chain · 4663
Created: Sep 6, 2026

The model was given the full list of equities tokenized on Robinhood Chain and could only pick from it. Token addresses were attached afterwards from that same list, so a ticker the model invented would have been dropped rather than shown here. This is not investment advice and it has not been backtested.