AI Demand Needs Somewhere To Go 🔥
The AI trade gets more interesting when demand can be tied to something measurable, because usage at the application layer eventually has to show up somewhere in the infrastructure stack.
Venice $VVV is a good example on the inference side.
Its API now exposes more than 230 models across text, image, video and other workloads, with private, anonymized, TEE and E2EE routes giving developers different ways to consume that capacity.
That creates a wide distribution layer for AI demand.
B3 $B3 is interesting to me for a different reason, because B3IQ is starting to make the hardware economics underneath that demand much more visible.
A B3IQ machine can operate as an always-on inference endpoint, with live GPU market rates shown by hardware type and earnings tracked at the individual machine level. Owners running under B3IQ’s offtake contracts currently keep 85% of what the machine earns after B3’s network share.
That means the thesis is not only “AI needs more GPUs.”
You can start looking at utilization, market pricing and cash generation from a specific piece of infrastructure instead of treating compute as one giant abstract market.
VVV gives a broad view of where AI consumption is going.
B3IQ gives me a much more tangible view of what happens when that consumption reaches the hardware.
For me, that is where the B3 side of the trade starts getting especially interesting
#AI #Infrastructure
The AI trade gets more interesting when demand can be tied to something measurable, because usage at the application layer eventually has to show up somewhere in the infrastructure stack.
Venice $VVV is a good example on the inference side.
Its API now exposes more than 230 models across text, image, video and other workloads, with private, anonymized, TEE and E2EE routes giving developers different ways to consume that capacity.
That creates a wide distribution layer for AI demand.
B3 $B3 is interesting to me for a different reason, because B3IQ is starting to make the hardware economics underneath that demand much more visible.
A B3IQ machine can operate as an always-on inference endpoint, with live GPU market rates shown by hardware type and earnings tracked at the individual machine level. Owners running under B3IQ’s offtake contracts currently keep 85% of what the machine earns after B3’s network share.
That means the thesis is not only “AI needs more GPUs.”
You can start looking at utilization, market pricing and cash generation from a specific piece of infrastructure instead of treating compute as one giant abstract market.
VVV gives a broad view of where AI consumption is going.
B3IQ gives me a much more tangible view of what happens when that consumption reaches the hardware.
For me, that is where the B3 side of the trade starts getting especially interesting
#AI #Infrastructure
