I like the distinction @Fluence made around dedicated instances.
Dedicated compute stays for production. Shared CPU is for everything that does not need that guarantee: dev environments, bots, internal tools, low-traffic APIs.
That is a mature framing. Not every workload deserves the same isolation model, and pretending otherwise is how cloud bills get bloated.
The useful part is not just that Fluence added a cheaper tier. It is that the tier has a clear job: serve underutilized workloads without charging them like reserved production infrastructure.
If $FLT is going to matter as compute infrastructure, this is the type of segmentation it needs — not one generic “decentralized cloud” bucket, but differentiated products for different workloads.
Dedicated compute stays for production. Shared CPU is for everything that does not need that guarantee: dev environments, bots, internal tools, low-traffic APIs.
That is a mature framing. Not every workload deserves the same isolation model, and pretending otherwise is how cloud bills get bloated.
The useful part is not just that Fluence added a cheaper tier. It is that the tier has a clear job: serve underutilized workloads without charging them like reserved production infrastructure.
If $FLT is going to matter as compute infrastructure, this is the type of segmentation it needs — not one generic “decentralized cloud” bucket, but differentiated products for different workloads.