The 5 most noteworthy bottleneck sectors in the AI era:

1. Memory: AI's Granary
1. Micron $MU
What AI servers need most is high-bandwidth memory (HBM). As the number of GPUs continues to increase, each GPU requires more and faster memory.
2. Samsung $005930
One of the world's largest memory chip manufacturers, with a complete DRAM, HBM, and NAND product line. AI data center expansion will continue to drive memory demand growth.
3. SK hynix $SKHY
Currently one of the global leaders in HBM and one of NVIDIA's most important HBM suppliers, sitting at the core of the AI memory supply chain.

2. Connectivity: AI's Highway
1. Broadcom $AVGO
The more AI GPUs there are, the more important data exchange between servers becomes. Broadcom is almost the absolute leader in high-speed switching chips and network connectivity, and one of the most core beneficiaries of AI infrastructure.
2. Marvell $MRVL
Comprehensive layout in high-speed networks, optical communications, and custom AI chips, deeply benefiting from AI data center upgrades.
3. Astera Labs $ALAB
Focuses on AI server interconnect chips, enabling more efficient data transfer between GPUs, CPUs, and high-speed memory. One of the new AI stars.
4. Credo Technology $CRDO
Leader in high-speed SerDes and network connectivity chips. Demand continues to grow as AI cluster scales expand.
5. Applied Optoelectronics $AAOI
Provides high-speed optical modules, an important supplier for optical communications in AI data centers.
6. Arista Networks $ANET
A globally leading data center switch company. Large-scale AI cluster construction almost always relies on it, continuously benefiting from AI network upgrades.

3. Power: AI's Most Overlooked Bottleneck
1. Constellation Energy $CEG
One of the largest nuclear power operators in the U.S. AI data center power consumption is skyrocketing, making stable power the most scarce resource.
2. Vistra $VST
Owns diversified power generation assets including natural gas and nuclear, a major beneficiary of AI power demand growth.
3. GE Vernova $GEV
Provides power generation equipment, grids, and energy infrastructure, a key participant in global energy upgrades.
4. Flex Ltd. $FLEX
Global electronics manufacturing leader, providing manufacturing capabilities for data centers, power supplies, and infrastructure, benefiting from AI hardware investment expansion.
5. Vertiv $VRT
Leader in AI data center power, cooling, and power supply systems. Without stable power and cooling, even the strongest GPUs cannot run continuously.
6. Navitas Semiconductor $NVTS
Focuses on third-generation semiconductor GaN and SiC power chips, helping AI data centers achieve higher energy efficiency.
7. Talen Energy $TLN
Has abundant power assets and actively deploys data center power supply business, an important company in the AI power concept.
8. ON Semiconductor $ON
Leader in power semiconductors, products widely used in servers, power management, and energy infrastructure.

4. Computing: AI's Computing Power Factory
1. Nebius Group $NBIS
Focuses on AI cloud computing platforms, providing GPU computing services for enterprises, an emerging player in AI infrastructure.
2. Cipher Mining $CIFR
Utilizes existing energy and infrastructure, gradually expanding from Bitcoin mining to AI computing business.
3. IREN $IREN
Has large amounts of low-cost green energy, continuously building AI data centers and GPU computing platforms.
4. Applied Digital $APLD
Builds large-scale AI data centers, providing hosting services for hyperscale GPU clusters.
5. TeraWulf $WULF
Develops AI data centers relying on low-cost nuclear power resources, with clear power advantages.
6. Core Scientific $CORZ
One of the largest computing infrastructure companies in North America, continuously transitioning to AI HPC data centers.
7. CoreWeave $CRWV
A star AI cloud computing company, providing GPU cloud services for clients like OpenAI and Microsoft, a major beneficiary of the AI computing demand explosion.

5. CPU: AI's Brain
1. NVIDIA $NVDA
Currently the absolute leader in global AI chips, leading in almost every aspect from GPUs to networking and software ecosystems.
2. AMD $AMD
Continuously launching AI GPUs and server CPUs, increasingly capturing data center market share, one of NVIDIA's most important competitors.
3. Intel $INTC
Has a massive CPU market base, advancing AI chips and advanced manufacturing layout, still with potential for a turnaround in the future.
4. Arm $ARM
Global leader in CPU architecture, from mobile phones to AI data centers, Arm architecture adoption is accelerating, with huge long-term growth potential.
5. Qualcomm $QCOM
Actively deploying in AI PCs, edge AI, and on-device AI chips. As AI increasingly runs on devices, Qualcomm is set to benefit.
Mastering the five bottleneck sectors—Memory, Connectivity, Power, Computing, and CPU—is the key to long-term core assets!