weyl.ai valid
Weyl
Weyl is purpose-built inference infrastructure for generative media. Sub-100ms latency for diffusion models on NVIDIA Blackwell with FP4 precision.
For agents: Weyl inference infrastructure for generative media, running diffusion models with sub-100ms latency on NVIDIA Blackwell. Docs cover quick start, auth and AI too
image generationdiffusion modelsinference apinvidia blackwellgenerative media
- Authority
- 50 reach 0 · trust 10 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://www.weyl.ai/llms.txt
- llms-full.txt
- https://www.weyl.ai/llms-full.txt
- Sections
- 6
- Links
- 24
- Size
- 3661 bytes
- Registered
- 2023-12-17
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Interface: a documented API or declared MCP endpoint an agent can call
- Inferred actions
- Read documentation Call an API About these labels
- Audience
- developers · agents can: read docs, call api · en
- First seen
- 2026-10-23T21:38:06.028Z
- Last checked
- 2026-10-23T21:38:07.975Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-23T21:38:06.034Z. Cached copy · Source on weyl.ai
# Weyl
> Weyl is purpose-built inference infrastructure for generative media. Sub-100ms latency for diffusion models on NVIDIA Blackwell with FP4 precision.
Weyl AI is a Fleek research lab building next-generation AI infrastructure. We specialize in low-latency generative media APIs, Nix-based GPU compute infrastructure, and developer tooling for AI-native workflows.
## What We Do
- **Inference API**: Real-time image and video generation with FLUX.2, FLUX.1, Z-Image Turbo, WAN Video
- **AI Workflows**: Native integration with Cursor, Claude, v0, Lovable, and Bolt.new
- **Open Source**: nix2gpu, nimi, hacker-flake - infrastructure for modern GPU compute
- **Research**: Papers on distributed systems and AI infrastructure
## Quick Links
- Homepage: https://weyl.ai
- API Documentation: https://weyl.ai/api/
- Request Access: https://weyl.ai/request-access/
- Blog: https://weyl.ai/plan/
- Open Source: https://weyl.ai/open-source/
- Weyl Standard: https://weyl.ai/std/
## For AI Agents
- Full Content: https://weyl.ai/llms-full.txt
- Agent Instructions: https://weyl.ai/agents.md
- Structured Index: https://weyl.ai/docs.json
- AI Sitemap: https://weyl.ai/ai-sitemap.xml
- OpenAPI Spec: https://weyl.ai/openapi.json
## Documentation
### Getting Started
- [Introduction](https://weyl.ai/getting-started/): Get started with Weyl inference infrastructure
- [Quick Start](https://weyl.ai/getting-started/quick-start/): Get up and running in 5 minutes
- [Authentication](https://weyl.ai/getting-started/auth/): Set up your API keys
### AI Workflows
- [Overview](https://weyl.ai/workflows/): Generate images in Cursor, Claude, v0, Lovable, and Bolt
- [Cursor IDE](https://weyl.ai/workflows/cursor/): AI image generation for vibe coding
- [Claude Projects](https://weyl.ai/workflows/claude/): MCP integration for image generation
- [v0.dev](https://weyl.ai/workflows/v0/): AI image generation in v0 components
- [Lovable](https://weyl.ai/workflows/lovable/): Full-stack apps with AI images
- [Bolt.new](https://weyl.ai/workflows/bolt/): Rapid prototyping with AI images
### API Reference
- [API Overview](https://weyl.ai/api/): Generative media at the speed of thought
- [Core Concepts](https://weyl.ai/api/concepts/): Model families, backends, and formats
- [Sync Tier](https://weyl.ai/api/sync/): Real-time generation with dedicated capacity
- [Async Tier](https://weyl.ai/api/async/): Queue-backed generation for cost optimization
- [Models](https://weyl.ai/api/models/): FLUX, Z-Image, WAN and capabilities
- [WebSocket](https://weyl.ai/api/websocket/): Real-time bidirectional communication
### Weyl Standard
- [Overview](https://weyl.ai/std/): Engineering standards and best practices
- [Nix Guides](https://weyl.ai/std/nix/guides/): Comprehensive Nix tutorials
- [Languages](https://weyl.ai/std/languages/): TypeScript, Python, Rust, Haskell, Bash, C++
### Open Source Projects
- [nix2gpu](https://github.com/fleek-sh/nix2gpu): Nix containers for GPU markets (vast.ai, runpod)
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| sourcey.com | Sourcey | interface AI and machine learning AI agents and MCP | — | 70 | ✓ | ✓ | |
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| intellweb.ai | Intellweb | documentation Ecommerce Productivity +3 | US | 61 | ✓ | ✓ | |
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface Infrastructure AI and machine learning +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Design +1 | FR | 75 | ✓ | ||
| intel.com | Intel Corporation | documentation Industry and manufacturing Consumer electronics +1 | US | 74 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ |
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