AIOZ Network

Excited to unveil the AIOZ Network Vision Paper V2! Dive into our vision for a unified DePIN layer powering: → Decentralized storage (AIOZ Storage) → Content pinning/caching (AIOZ Pin) → Streaming & delivery (AIOZ Stream) → AI inference orchestration (AIOZ AI) An end-to-end DePIN stack with flexible monetization and stronger developer enablement. Read now & build the people-powered internet with us! Link: aioz.network/aioz-vision-v2…

The February campaign for AIOZ AI Model of the Month — Image to Anime has wrapped up! Congratulations to our winners: @0xMeta_crypto, @BenoitBlanchot, @skikesairdrop2, @CrytoAi They will share a prize pool of 3,000 AIOZ tokens. We’ll DM winners to collect wallet details. Plus, randomly selected participants will receive AIOZ AI credits. Keep an eye on your inbox for notifications. Thank you to everyone who contributed high-quality experiments and creative results. Ready for the next round? Start by studying the winners’ outputs.

Text Generation by LiteLlama: aiozai.network/models/26a633c…

Explore AIOZ AI: aiozai.network

Join the challenge: aiozai.network/challenges/pne…

Joined the ongoing AIOZ AI Pneumonia Chest X-Ray Classification Challenge? Smart Tip: Focus on data quality before tuning your model. → Audit the X-rays first for variations in brightness, contrast, and resolution. → Apply preprocessing techniques such as normalization, resizing, and histogram equalization. → Add controlled data augmentation, such as rotations, flips, and subtle distortions, to improve robustness without losing clinical signals. Build a stronger pipeline from the data up! Join the challenge and explore medical AI in practice.

Get started on the AIOZ DePIN today: aioz.network/aioz-depin

AIOZ DePIN lets anyone contribute storage, bandwidth, and AI compute to the AIOZ Network. It offers two pathways to get started, depending on your preference: → AIOZ DePIN GUI: An intuitive app with fast setup and simple control. → AIOZ DePIN CLI: A terminal built for automation and batch workflows. With CLI v1.2.6, native AI compute is now integrated into the DePIN runtime. Choose the path that fits your workflow and start contributing to AIOZ Network, the people-powered internet!

Join Challenge: aiozai.network/challenges/pne…

Have you started building for the Pneumonia Chest X-Ray Classification Challenge? Quick tip: Don’t jump straight into complex architectures. Train a small baseline or use a pretrained backbone first. Before scaling up, study these in the dataset: → Image quality → Label distribution → Visual variability You’ll quickly see that pneumonia cases are more frequent and more diverse. These insights help shape better preprocessing and stronger models. Build smart before you build big. Ready to train your first medical AI model?

AIOZ Stream is a production-ready solution built for creators & builders. LIVE features: → Video on Demand (VOD): Upload, transcode, and deliver adaptive multi-resolution streams → Audio Support: Dedicated audio-only media workflow → Captions: Add and manage subtitles → Custom Player: Fully customizable and embeddable → API + SDKs: Rapid integration with REST APIs, Node.js & Go → Webhooks: Real-time video & transcoding events → Analytics: Track plays, watch time, devices & regions Build and scale your video or audio app with confidence!

AIOZ DePIN CLI v1.2.6: github.com/AIOZNetwork/ai… AIOZ DePIN CLI documentation: docs.aioz.network/aioz-depin/dep… Operator Guide: aioz.network/blog/getting-s…

AIOZ DePIN CLI v1.2.6: github.com/AIOZNetwork/ai… AIOZ Docs: docs.aioz.network/aioz-depin/dep…

New AIOZ DePIN Milestone: CLI v1.2.6 is now LIVE! v1.2.6 introduces native AI compute, running alongside storage, delivery, and transcoding as a first-class DePIN service. What’s new: → AI Compute as a native DePIN capability → Unified visibility across all DePIN services → Explicit storage control & resource management → Built-in runtime stability and recovery → Auto-update in long-running environments With this release, the AIOZ DePIN CLI evolves into a complete DePIN management layer, enabling contributors to support broader workloads with predictable operations. Run AIOZ DePIN. Now with AI compute.