0G Network Ships Five Major Updates on Live Mainnet

**0G Storage has reached 2 GB/s throughput on its live mainnet**, verified through [StorageScan](http://storagescan.0g.ai). The platform is designed specifically for AI workloads requiring high-speed data movement. **Key specifications:** - 2 GB/s production throughput (not benchmark) - 30+ MB/s sustained mainnet performance - Dual-layer architecture: Log Layer for sequential data, KV Layer for mutable queries - $11/TB/month pricing - 57,893 files and 52.96 GB currently stored **Comparison with alternatives:** - Filecoin: ~45s retrieval time, $0.19/TB/month, sealed sectors - Arweave: ~33 GiB/day upload, $5-8/GB one-time, permanent storage 0G Storage supports both immutable and mutable data models, with native compute integration for AI training data, model weights, and agent memory storage.

**Major blockchain networks are moving away from Geth**, the dominant Ethereum execution client, following performance benchmarks that show significant improvements. **Key Performance Gains:** - 40% faster synchronization speeds - 24% lower block execution latency (25.3ms down to 19.1ms) - Elimination of garbage collection spikes **Network Adoption Timeline:** - Base has already deprecated Geth - Optimism will complete its transition by May 2026 - 0G finished switching with no reported issues since February BNB Chain conducted the benchmarks on live infrastructure, validating the performance improvements in real-world conditions. **Enterprise validators including Google Cloud, CertiK, and NTT Digital are now running on the new client stack**, signaling institutional confidence in the transition. The shift represents a significant change in blockchain infrastructure, as networks prioritize performance optimization over the incumbent client that has dominated the ecosystem.

**Major blockchain networks are struggling to find solutions for onchain AI fine-tuning, while 0G has already deployed working infrastructure.** - Leading Layer 1 and Layer 2 blockchains are actively searching for teams capable of running onchain fine-tuning operations - 0G's fine-tuning infrastructure is already operational and processing jobs - The solution these networks are seeking has been available and functioning This development highlights 0G's technical advantage in the decentralized AI space, demonstrating that their infrastructure is ahead of larger, more established blockchain networks in supporting AI model training onchain.

While AI platforms monetize privacy as a premium tier, **0G's Sealed Inference** takes a different approach by embedding privacy directly into its architecture. **Key Features:** - Every AI response is verified inside a hardware enclave - No intermediaries, paywalls, or trust requirements - Privacy enforced by code, not corporate policy The system addresses growing concerns as AI coding agents gain access to complete codebases, including source code, keys, and business logic. Hardware-level protection prevents anyone—including 0G and node operators—from accessing user data during processing. Learn more: [0G Sealed Inference announcement](https://www.globenewswire.com/news-release/2026/03/06/3250768/0/en/0G-Introduces-Sealed-Inference-Cryptographically-Private-AI-Where-Every-Response-Is-Verified-Inside-a-Hardware-Enclave.html)