I’m watching the Web3 compute and infrastructure layer closely and here’s why these stand out right now.

1. FLT – @ Fluence

Fluence is delivering decentralized, cloud-free compute. Their platform enables AI workloads with GPU containers, and a wider marketplace of providers beyond the hyperscalers. Its mission is to remove vendor lock-in and open up compute economy across workloads aligning directly with the infrastructure backbone of Web3. fluence.network+2fluence.network+2

2. $SOL – Solana

Solana remains one of the most scalable, developer-friendly blockchains. High throughput, low fees, and mounting institutional exposure (including ETFs) make it central to many Web3 narratives. coindesk.com+2CoinGecko+2

Fluence compute layer might well serve workloads built on chains like Solana bridging infrastructure with application layers.

3. $LINK – Chainlink

Chainlink is the de-facto oracle layer for connecting blockchains to real-world data. For decentralized compute models (like Fluence’s) to fulfill their promise, reliable data feeds and cross-chain inputs matter. LINK binds the infrastructure ecosystem together. chain.link+1

4. $AVAX – Avalanche

Avalanche offers a high-performance chain with strong Web3 adoption. As compute shifts increasingly on-chain or federated‐offchain, networks capable of running large-scale workloads will be essential and projects like Fluence address the supply side of these demands.

Why this matters:

Web3 isn’t just about apps or chains it’s also about where and how these workloads run. Fluence fits into the ecosystem by unlocking the compute layer: making high-performance hardware accessible, flexible, and aligned with decentralised infrastructure instead of closed clouds. When compute, data/oracles, and smart chains all converge, you get a full stack.

If you’re building in Web3 and need to scale AI, inference, or compute-intensive workloads, pairing a chain (SOL/AVAX) + oracle (LINK) + compute backbone (FLT) is a strategic pattern.