Fluence has brought something interesting to the DePIN space. I just want to remind us.

The "cloudless" mission is moving fast. The platform now supports a full suite of GPU deployment options, including GPU containers, Virtual Machines (VMs), and Bare Metal.

What’s the actual takeaway for devs?

GPU Containers: Perfect for fast, standardized AI inference and quick experiments.

GPU VMs & Bare Metal: For when you need full environment control or raw, hypervisor-free performance for heavy-duty model training.

The Cost Factor: We’re talking up to 80% lower costs compared to traditional cloud giants.

By pulling together high-end capacity from tier-3 and tier-4 data centers into a single, verifiable protocol, @Fluence is making it possible to run serious AI workloads without the "Big Tech" tax or vendor lock-in.

It’s officially a full-stack, decentralized alternative for AI builders who need scale and sovereignty.

Check out the full breakdown here: https://www.fluence.network/blog/whats-new-in-fluence-cloudless-platform-gpu-containers/