📢 New website is live with full GPU access available for new users!
We’re excited to announce that Fluence Console is now open for instant access to GPU Containers, Virtual Machines, and Bare Metal deployments.
👉 https://t.co/YoFTEDolE1 👈
🌎 Get easy access to 1400+ GPUs across 32 regions and 71 data centers now:
1️⃣ Sign up via GitHub, Google, or Email.
2️⃣ Top up your balance.
3️⃣ Deploy your first workload!
Key features 👇
AI infra is entering a $5T buildout.
But reserved GPU clusters are still bought through intros, private quotes, hidden inventory, and weeks of negotiation.
No order book. No clearing price. That’s not a market. It’s a maze.
We’re about to change that. More soon.
The $FLT Grid League on Gate with @fluence_project
Grab your spot: https://t.co/MrLEDoIjzJ
Trade FLT-USDT, generate volume, take your share of 3,000 USDC in rewards.
Start: 12:00 UTC, May 15
End: 12:00 UTC, Jun 12
New to Grid Leagues? Setup takes under 5 minutes: https://t.co/sW9NmQqd8N
you probably noticed… as AI keeps scaling, the demand for compute and data is growing way faster than the current supply.
and right now, most of that supply is still expensive and heavily centralized.
DePIN is starting to position itself as the alternative layer, offering infrastructure at ~50–80% lower cost while redistributing supply across decentralized networks.
instead of focusing on obvious large caps, I’ve been looking at smaller projects where the asymmetry between risk and potential upside is more meaningful.
1. @grass - $GRASS
- one of the clearer DePIN data plays right now, already showing real usage with millions of devices contributing bandwidth for AI data scraping.
- the “data for AI” narrative is getting stronger, and Grass sits directly in that flow with actual adoption and revenue backing it.
→ this is one of the few cases where usage isn’t just theoretical, it’s already happening at scale.
2. @cysic_xyz - $CYS
- positioned at the intersection of ZK and AI, focusing on verifiable compute, which is becoming increasingly relevant as AI systems scale.
- backed by strong names and already pushing toward mainnet, with early integrations and agent-based use cases starting to form.
→ if ZK + AI becomes a real convergence narrative, this is one of the more direct ways to get exposure.
3. @AethirCloud - $ATH
- building a decentralized GPU cloud targeting AI and gaming, with real demand already coming from rendering and compute-heavy workloads.
- this is less about theory and more about capturing existing demand for GPU rental in a more flexible way.
→ with an expanding ecosystem and enterprise angle, it’s one of the more “business-like” models in the space.
4. @PhalaNetwork - $PHA
- focused on confidential compute using TEE, which becomes increasingly important as AI starts handling sensitive data.
- this sits in a quieter part of the market, but the use case is clear once privacy becomes a real constraint for AI adoption.
→ longer-term, this kind of infrastructure tends to matter more than people expect early on.
5. @fluence_project - $FLT
- one of the more solid plays from a product standpoint, already showing real revenue and targeting enterprise compute demand.
- competing primarily on cost efficiency, offering significantly cheaper infrastructure compared to traditional cloud providers.
→ as more AI startups look for cost optimization, models like this start to make more sense.
=> ngl,I think the core point is simple. AI demand is already real and accelerating, but whether these networks can scale supply fast enough and actually capture value at the token level is still an open question.
not all of them will survive as the cycle evolves, that’s just how this space works.
but if DePIN x AI shifts from narrative into sustained usage, a few projects here could outperform as real demand, early infrastructure, and speculation start to overlap.
this is just a perspective based on current data, nfa,,.
Fluence DAO governance is moving to our native Token App 🧑⚖️
You now can vote, create proposals, and follow DAO updates natively in Token App, instead of Tally (as it's being sutted down)
https://t.co/kbB8n42ztr
If you're at @consensus2026 — let's meet tonight!
Together with @USDai_Official we've set up a nice and ambient venue for fellow AI & DePIN folks.
Expect good drinks, food, warm atmosphere, the right crowd — and talks by @TheTomTrow and @_ConorMoore
6:00 PM 📍 The Social Club, Miami
RSVP 👇 https://t.co/JfOpKjZSZo
We just released Persistent Storage Volumes and Public IP management 💽
You can now attach persistent disks to virtual machines and create public IP addresses directly in the console.
That makes it easier to run databases, keep data across reboots, move storage between instances, and manage network identity without rebuilding infrastructure 👇
With persistent disks and public IP management, you can now run a wider range of workloads on Fluence:
> databases and other stateful services;
> backend applications with persistent data;
> long-lived development and staging environments;
> services that need stable public endpoints;
> deployments that require storage to outlive a single VM
Go test it out 👇
https://t.co/CoMRDZ9OxA
New Fluence Trading Competition on @origamitech_
Trade FLT-USDT on Gate and MEXC, climb the leaderboard, and secure your share of the prize pool.
Join the waitlist now:
Gate: https://t.co/5lencjxCxc
MEXC: https://t.co/v2VcObFiHO
📍 Timeline:
Start: April 13, 12:00 UTC
End: April 27, 12:00 UTC
📍 Prize Pool:
1,500 USDT on Gate
1,500 USDT on MEXC
📍 New to Grid Leagues?
They’re volume-based competitions: the more you trade, the higher you rank, the bigger your reward.
Set up your bot in under 5 mins: https://t.co/sW9NmQqd8N
Fluence DAO Q1’26 report is out! 🧮
Vesting for Fluence investors, team, advisors, and founders has been completed, a new staking contract has been rolled out, and the rollup has been wound down.
Check the full breakdown of DAO spend, remaining treasury balances, allocation, circulating supply, and liquidity management in Q1 of 2026 👇
https://t.co/tGEtzax3Jk
AI in Web3 is deeper than most people think.
A lot of you are watching one layer, not the full stack.
Here's every category, broken down in our ecosystem map 🧵