AI networking silicon
AI networking silicon connects accelerators into clusters. As model sizes and inference traffic rise, switching, Ethernet, custom ASICs, NICs, and optical DSPs become central to performance and power efficiency.
This segment sits inside the physical and semiconductor supply chain that supports AI training and inference. The important question is not only whether AI demand grows, but where scarcity shows up: chips, memory, networking, power, sites, or specialized services.
For 13F analysis, the tag is meant to separate the specific bottleneck a company is exposed to from the broad AI label. That helps distinguish a direct accelerator supplier from a power-equipment company, a data center landlord, or a miner with a power portfolio that could be repurposed for HPC.
- Ethernet and InfiniBand switching
- Custom ASICs
- NICs and DPUs
- Optical DSPs and interconnect controllers
- Ethernet versus InfiniBand mix
- Custom ASIC wins
- Co-packaged optics adoption
- Cluster scale and east-west traffic growth
Situational Awareness LP
Leopold Aschenbrenner · Q4 2025 filed 2026-02-11
Custom ASIC, switching, and networking silicon suppliers for scale-out AI clusters.
| Ticker | Name | Value | Instrument |
|---|
| Ticker | Action | Value |
|---|---|---|
| AVGO | Closed | -$76M |