Developer Toolkit
LLM Interface
Upcoming Skyops endpoints for running large language models on decentralized GPUs.
(Coming Soon)
Decentralized Language Models. Served On-Demand.
Skyops is preparing to launch native LLM endpoints — enabling developers, researchers and applications to run language models directly from the decentralized GPU grid. No centralized bottlenecks. No usage caps. Just scalable inference from the Skyops network.
⚙️ What to Expect
On-Demand Text Generation
Run LLMs like GPT-J, LLaMA or custom fine-tuned models — with inference streamed back in real time.GPU-Specific Serving
Requests are routed to high-VRAM nodes (e.g., A100, 4090, H100) with the capacity to support large token windows and long-form generation.Streaming + API Ready
LLM endpoints will support:Prompt + response generation
Token streaming for chat-like use cases
Integration via REST & WebSocket interfaces
🧪 Developer Preview Coming Soon
You’ll soon be able to:
Upload your own models
Host private or public endpoints
Earn from usage if your model is adopted by the community
Skyops will also launch community-serving pools, where idle nodes can automatically participate in LLM inference jobs — earning $SKYOPS based on throughput and token response speed.
📡 Stay in the Loop
Launch updates will be announced via:
Twitter/X: @SkyopsLabs
Telegram Community: t.me/SkyopsLabs
Discord Community: discord.gg/SkyopsLabs
Official documentation at docs.skyopslabs.ai
The future of LLM inference is decentralized — and it’s coming to Skyops.