fleek

Weyl AI content generating API and early testing of v0 API. We're ready to share our no-compromise diffusion inference technique using NVFP4 that promises economically transformational efficiency for AI content production after months of quietly constructing. This blog describes the v0 API, our technological approach and plan, and how to acquire early access.

This graphic shows how Weyl, Blackwell, NVFP4, and hardware acceleration compare to other methods for creating

Fleek outperformed huge AI laboratories in efficiency. How?

Honestly, it was accidental. We created our first product using Fal.ai and found it too pricey for most applications and use cases. GPU and inference expenses are unsustainable, hence most AI firms fail (see here). The large AI labs can subsidize their applications (Grok Imagine, OpenAI Sora, Meta Vibes, etc.), but creating apps using their APIs or utilizing Gen AI API providers like Fal is too costly and we have no chance.

With the conditions, we decided to explore and construct something competitive a few months ago. We discovered that in the recent several years' AI hype cycle, some technical problems may have been disregarded or deprioritized. We created a diffusion inference stack from scratch using basic principles and emphasized technical over budgetary considerations. How we accomplished it:
Bet big on NVIDIA NVFP4 and SM120 (also SM100 and SM110).
Master our software builds for survival (NixOS).
Built for NVIDIA Blackwell (first to use it for diffusion inference)

Give quantization top emphasis in engineering.
Replace TorchInductor with NVIDIA TensorRT and ModelOpt.

Prioritize unmanaged C++ and CUDA languages that directly access NVIDIA silicon.
The result: 70-80% cheaper diffusion inference without losing speed or quality. Our results show that NVIDIA's latest technology can democratize AI when deployed properly.

This figure shows Weyl versus. alternatives for Flux.1 Dev image generation speed.
🔥 The Platform: Where AI, Social Identity, and Crypto Converge 🚀
The Platform is one of the first social ecosystems to fuse AI generation and blockchain identity, creating an entirely new category of digital interaction. Users can build accounts around any identity, persona, or theme and each one automatically launches its own Creator Token, giving every profile real economic value. These tokens follow a structured supply model, enabling transparent ownership and authentic engagement. With on-chain identity, AI-powered content, and tokenized social presence, The Platform transforms creators into microeconomies and turns social activity into a new asset class. This is the next evolution of digital culture.

Creator tokens are exploding PI, PUMP, ZORA all proved the market’s appetite for creator-backed micro-economies. And now with Base launching native creator tokens, the ecosystem is entering its next phase: Creators as Economies.
This is where Fleek becomes the engine of the entire meta.
Built directly on Base, Fleek captures the momentum and gives creators the tools to build their own economic layer. Every creator token minted on Fleek is not “just a token” it’s a living market, where culture, data, attention, and capital collide. Fans don’t just follow creators anymore they invest in them.
Fleek is the protocol that productizes the creator-token meta, making it scalable, liquid, and AI-native.

And the AI part?
That’s where #Fleek goes next level.
Fleek just launched its AI APIs, delivering the fastest AI video generation in the entire industry faster than Sora, faster than Vibes, and faster than anything currently in consumer AI. With cross-platform interoperability across Zora, Base, and tokenized creator markets, Fleek becomes the AI infrastructure layer powering the future of digital creation.
This isn’t another creator platform.
This is the blueprint for AI x Creator Economies, running at lightspeed.
Fleek turns creators into economies.
And attention into an asset class. 🚀🔥

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