AI Inference Silicon
Inference silicon runs trained models in production rather than training them, and rewards throughput per watt over raw peak performance. It is a distinct design problem from training, and has drawn in custom accelerator designers alongside the incumbent chip vendors.
7 stocks
| # | Name |
Funds holding | Growth | Growth % |
Fund value |
|
|---|---|---|---|---|---|---|
| 1 |
1
Qualcomm
QCOM
$184B
| 1,413 | -69 | -5% | $53.8B |
|
| 2 |
2
Ambarella
AMBA
$2.71B
| 204 | +12 | +6% | $1.07B |
|
| 3 |
3
GSI Technology
GSIT
$163M
| 43 | +9 | +26% | $51.3M |
|
| 4 |
4
Defiance Inference AI Chip ETF
AINF
| – | – | – | – |
|
| 5 |
5
Blaize Holdings
BZAI
$35.3M
| – | – | – | – |
|
| 6 |
CGPT
6
VegaShares AI Inference ETF
CGPT
| – | – | – | – |
|
| 7 |
KSMH
7
xETFs Korea AI Semiconductor
KSMH
| – | – | – | – |
|