Akash, Render, Gensyn — all run on slow, fee-heavy chains.
OpenAI? You pay per token, your prompts leak, and you're throttled.
OpenAI, Anthropic, AWS own the compute. They set prices, see your prompts, and can cut you off.
On Ethereum, a micropayment for one inference call costs more than the call itself. Solana is cheaper but still gated.
12s blocks on ETH make agentic AI impossible. Qubic's 2s ticks unlock a whole new category.
Upload your LLM prompt, training task, or inference workload. Set your max budget in QUBIC.
676 Computors worldwide compete in a 1-tick auction. Lowest price with sufficient stake wins.
Your job runs on Qubic's C++ execution. No VM overhead. Same speed as local GPU.
Oracle Machines verify output hash. Payment released, QUBIC partially burned. Done.
Simulated preview. Jobs flow every tick (2s). Click "Post a job" to try the full flow.
No new L1. No bridges. We stack on Qubic's existing primitives — Oracle Machines, Neuraxon, UPoW.
Already handling 11k+ queries. We reuse their hash verification to guarantee AI outputs — no need to trust any single Computor.
Trivalent-state neurons (−1/0/+1) running on Aigarth's evolutionary engine. Continuous learning, no ONNX glue. Papers submitted to AGI-26 and ALIFE-26.
Every job partially burns QUBIC. More AI compute → tighter supply. Mirrors the Dogecoin Mining Phase 2 burn model live since April 2026.
Prompts are encrypted client-side, decrypted only inside Computor's bare-metal sandbox. Never touch OpenAI, never train anyone else's model.
Six concrete scenarios. Real pricing. Every number calculated from public OpenAI/AWS rates vs QubicAI target pricing.
His product answers 8M customer-support tickets/month using GPT-4. Every ticket = ~1.2k input + 400 output tokens. Business is profitable but 64% of revenue goes to OpenAI.
Quant fund runs 10,000 LLM inferences/day analyzing news, tweets, filings. Each call = 3k tokens. They NEED real-time (2s latency or dead).
CHU wants to summarize 50k patient files/month. OpenAI = impossible (data leaves EU). On-prem = €420k GPU cluster. QubicAI bare-metal sandbox = compliant.
Every NPC speaks with LLM memory. 2M inference calls/day. OpenAI would kill the studio financially.
72h of 8×H100 training. AWS pricing is brutal. QubicAI lets miners bid with idle capacity.
1,000 decisions/day for posting, replying, research. Indie dev can't afford OpenAI.
Drag the slider. See how much you're currently overpaying OpenAI.
AI inference will 100× by 2028. Agents, AR glasses, embedded LLMs. Current compute can't scale at current prices.
Centralized providers will hit a wall. NVIDIA-bottlenecked. Regulatory risk. Privacy lawsuits starting 2026.
Only Qubic matches the throughput. 15.52M TPS · feeless · already live. Every other L1 is 100× too slow.
Community wants this. Come-from-Beyond publicly stated AI compute marketplace is the goal. We ship the app layer.
They run on Cosmos/ETH. We run bare-metal C++ on Qubic.
No middleman margin. Direct Computor-to-user market.
They have tokens. We have pricing, Oracle verification, and a grants path.
No $420k GPU cluster. No DevOps. Just API calls.
Protocol fee = 3% of GMV. Burned + distributed to QUBIC holders via UPoW.
Submit to Qubic Grants (200B QUBIC fund). Target: $160k / 6-month incubation.
LLM inference only. Llama 3.3 70B, Mistral. Oracle-verified hashes. Closed Discord beta.
Smart contract IPO vote with Computors. Public marketplace. First 1M jobs target.
Fine-tuning jobs, distributed training, private sandbox for enterprises. $10M+ TVL target.
Join the community. Vote the IPO. Earn QUBIC by running inference.
Make top 10 happen.