$FLT
@Fluence is DePIN at its finest.
With 6,468 GPUs currently available across 4 countries, the marketplace is already giving users a live view of distributed compute capacity.
The marketplace lets buyers browse available compute, publish a specific request, and compare what different providers are offering.
https://auctions.fluence.network/
Providers can do the opposite by listing their available capacity and putting it in front of qualified demand. What makes this useful is the amount of information attached to a bid.
An accepted offer records the price, SLA, rental window, and bid history, giving both sides a clearer picture of what they are actually agreeing to. I also like that browsing comes before signing up. You can review the marketplace first, while posting, bidding, listing capacity, or signing a contract goes through marketplace review.
That creates a more structured process for something that can otherwise be surprisingly difficult: finding the right GPU capacity at the right time and under terms that actually fit the workload.
With thousands of GPUs becoming visible across different locations, this feels less like a simple GPU directory and more like infrastructure becoming easier to discover and transact.
#Fluence #DePIN #AI #GPU
@Fluence is DePIN at its finest.
With 6,468 GPUs currently available across 4 countries, the marketplace is already giving users a live view of distributed compute capacity.
The marketplace lets buyers browse available compute, publish a specific request, and compare what different providers are offering.
https://auctions.fluence.network/
Providers can do the opposite by listing their available capacity and putting it in front of qualified demand. What makes this useful is the amount of information attached to a bid.
An accepted offer records the price, SLA, rental window, and bid history, giving both sides a clearer picture of what they are actually agreeing to. I also like that browsing comes before signing up. You can review the marketplace first, while posting, bidding, listing capacity, or signing a contract goes through marketplace review.
That creates a more structured process for something that can otherwise be surprisingly difficult: finding the right GPU capacity at the right time and under terms that actually fit the workload.
With thousands of GPUs becoming visible across different locations, this feels less like a simple GPU directory and more like infrastructure becoming easier to discover and transact.
#Fluence #DePIN #AI #GPU
