The decentralized P2P compute platform for AI inference. Connect idle GPUs, stream low-latency LLM responses, and earn Tensor Credits for every token you serve.
Click the button below to trigger a real-time simulated P2P AI inference request token streaming...
Instant token streaming across distributed VRAM clusters
State-of-the-art chain-of-thought reasoning model optimized for code synthesis and complex math.
High-capacity multilingual model delivering sub-second response times across P2P node networks.
Meta's premier open weights model accelerated with FP8 quantization and tensor parallel execution.
Hyper-fast local inference runner designed for low-power desktop GPU hosting nodes.
Decentralized infrastructure supporting low-latency model execution across distributed compute clusters
Smart WebSocket RPC routing automatically assigns prompt tasks to nearest idle GPU nodes for sub-millisecond response initiation.
Proof-of-Inference ledger automatically credits compute providers in real-time as nodes process inference tokens.
Drop-in replacement for OpenAI endpoints (/v1/chat/completions). Connect standard LLM clients with your developer secret key.
One-click native desktop client (P2PInferenceNode) enables Windows & Linux GPU owners to join the compute grid.
End-to-end payload chunking with zero storage of user prompt buffers across compute provider runtimes.
Dynamic VRAM pooling allocates heavy 70B+ parameters across distributed GPU clusters effortlessly.
Connect any LLM client or application using standard OpenAI client libraries
import openai
client = openai.OpenAI(
base_url="http://localhost:49290/v1",
api_key="originlink_sec_YOUR_API_KEY"
)
response = client.chat.completions.create(
model="deepseek-r1",
messages=[{"role": "user", "content": "Hello Origin Of AI Network!"}],
stream=True
)
for chunk in response:
print(chunk.choices[0].delta.content or "", end="")Origin Of AI Orchestrator dynamically balances workloads across a peer-to-peer mesh of compute providers running local quantized LLM runtimes (Llama 3, Qwen 2.5, DeepSeek R1).
Three steps to compute, host, or integrate with Origin Of AI Orchestrator
Sign up to generate developer access keys or download the desktop node client to host GPU compute power.
Access your User Dashboard to configure API secret keys, manage billing plans, and monitor your TC ledger.
Send standard REST/WebSocket completion requests to the network while compute providers receive automated TC payouts.
Origin Of AI groups inference models under six standardized performance umbrellas—Light, Swift, Core, Blaze, Ultra, and Titan.
CPU / 4-8GB GPU
Ultra-lightweight models engineered for high-throughput edge microservices, routing, and lightweight formatting.
8GB GPU
Sub-second streaming LLMs offering low latency and strong general intelligence for chatbot applications.
16GB GPU
The ideal price-to-performance workhorse tier for coding, complex agent workflows, and multi-turn reasoning.
24GB GPU
High-capability dense and distilled models designed for deep analytical reasoning and software engineering tasks.
48GB+ GPU
Frontier-grade dense models providing near-sovereign intelligence for enterprise architecture and complex problem solving.
Multi-GPU Cluster
Massive Mixture-of-Experts (MoE) and flagship frontier models deployed across multi-node hardware clusters.
Join the Origin Of AI P2P inference network today to build scalable AI applications or earn credits hosting compute nodes.