50,000x Faster Data Availability For AI Agents ⚡
$TIA turned data availability into one of the most important infrastructure narratives of the cycle. $0G is where that same DA conversation expands into AI-native memory, inference flow, and agent workloads.
Ethereum DA was never designed for real-time agent memory and inference retrieval.
AI agents generate and consume data at a completely different order of magnitude.
0G’s DA + storage receipts make that visible:
→ 50,000x Ethereum throughput
→ 100x lower cost per byte
→ 2 GB/s storage throughput
→ built for AI memory retrieval
This is already being tested against real product demand.
Ghast AI has already processed 30M+ inference tokens, while Aristotle Mainnet now supports 300+ ecosystem partners across the broader stack.
That’s what makes the performance layer credible.
The throughput rails are already supporting live agent workloads at scale.