Decentralized infrastructure is being redefined, not just by cloudless compute, but by privacy-first execution and programmable hardware. Let’s compare how four major projects each tackle part of this new stack:
$FLT (Fluence)The Execution Engine.
Fluence powers compute as a permissionless, verifiable network. It enables AI, DePIN and dApp workloads to run across decentralized infrastructure ,without AWS-like intermediaries. Its FLT token secures resources, stabilizes billing, and helps developers deploy workloads with trust and cost-efficiency.
$AKT (Akash Network) The Decentralised Cloud Marketplace.
Akash offers a peer-to-peer marketplace where developers rent compute resources directly from providers. It enables container workloads, AI inference jobs, and scalable infrastructure , all without central cloud vendors.
$CYS (Cysic) The ComputeFi Hardware Economy.
Cysic turns raw compute power into tradable assets. It tokenizes GPU or ASIC resources, enables verifiable proving or AI tasks, and sets up token-driven incentive structures for providers. Compute becomes liquid, not just usable.
$RLC (iExec)Confidential & Trusted Compute Layer.
iExec introduces confidential, trusted execution environments (TEEs) where apps execute securely on sensitive or private data. Its native token RLC is the currency that powers every confidential computation, dataset access, and worker-provider interaction.
The Bigger Picture
Together, these projects represent four pillars of a new architecture:
$AKT → open compute access$CYS → tokenized compute liquidity$RLC → privacy-safe execution$FLT → the compute engine that unites them
Fluence doesn’t compete with each ,it connects them.
#AITokensRally #MarketRebound #FLT