AIOZ Network

DePIN Powering Web3

● AI Compute Infrastructure
● Decentralized S3 Object Storage
● IPFS Pinning Service
● p2p Media Streaming

[AIOZ Network @AIOZNetwork]

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: https://t.co/2gF3PRjo3B

[AIOZ Network @AIOZNetwork]

Discover Qwen3-Coder-Next:
https://t.co/7J6uTimU8q

[AIOZ Network @AIOZNetwork]

https://t.co/zPXdsuSxj2

[AIOZ Network @AIOZNetwork]

Build with AIOZ Storage:
https://t.co/WE7hT3b1QG

[AIOZ Network @AIOZNetwork]

AIOZ Storage brings more than storage to your workflows.

What this supports:

→ Static Website Hosting for docs, landing pages, and SPAs

→ Custom Domains for branded websites

→ Automatic MIME Type Detection

→ Access Grants for scalable access control

AIOZ Storage keeps application workflows familiar and scalable.

Build your next workflow with AIOZ Storage.

[AIOZ Network @AIOZNetwork]

Explore AIOZ Stream
https://t.co/L6lZNKCmPU

[AIOZ Network @AIOZNetwork]

AIOZ Stream brings peer-to-peer media delivery through distributed contribution across AIOZ DePIN.

What this supports:

→ DePIN-powered delivery with flexible capacity

→ Sharding and redundancy for strong continuity

→ Integration across AIOZ Storage, Pin, and AI

Delivery architecture shapes resilience, scaling, and cost structure across the media pipeline.

Discover how AIOZ Stream fits your media stack.

[AIOZ Network @AIOZNetwork]

Download the data:
https://t.co/uPcyOp3r8S

[AIOZ Network @AIOZNetwork]

Started the Spaceship Titanic Prediction Challenge on AIOZ AI?

Pro tip: Parse compound columns before tuning your model.

Start with these two columns:

→ Split PassengerId to identify travel groups and passenger order

→ Split Cabin to capture deck, cabin slot, and side

These raw strings hide useful signals.

Download the data. Split first. Then train smarter.

[AIOZ Network @AIOZNetwork]

https://t.co/1G1VdukMI9

[AIOZ Network @AIOZNetwork]

Join the Challenge:
https://t.co/xrSWQOVtBr

[AIOZ Network @AIOZNetwork]

https://t.co/UO6jp8ODbP

[AIOZ Network @AIOZNetwork]

Explore HeartMuLa on AIOZ AI:
https://t.co/qJvq13M5wD

[AIOZ Network @AIOZNetwork]

https://t.co/e0QGOVtcA8

[AIOZ Network @AIOZNetwork]

Explore reliable upload defaults with AIOZ Storage:
https://t.co/WE7hT3b1QG

[AIOZ Network @AIOZNetwork]

Some infrastructure improvements happen quietly behind a familiar workflow.

AIOZ Storage uses Google Magika for more reliable MIME type detection.

What this adds:

→ Preserves Content-Type when it’s provided

→ Detects file type from content when metadata is missing

→ Reduces dependence on filenames or extensions

Keep uploads simple with more reliable defaults.

[AIOZ Network @AIOZNetwork]

Join the challenge:
https://t.co/xrSWQOVtBr

[AIOZ Network @AIOZNetwork]

https://t.co/d0jjO21NF1

[AIOZ Network @AIOZNetwork]

Join the challenge:
https://t.co/xrSWQOVtBr

[AIOZ Network @AIOZNetwork]

Looking for a practical tabular ML challenge with a sci-fi twist?

The Spaceship Titanic Prediction Challenge is now live on AIOZ AI.

Predict which passengers were transported after a spacetime anomaly near Alpha Centauri.

What you can practice:

→ Binary classification

→ Feature engineering

→ Missing value handling

→ Gradient-boosted tree workflows

Join anytime. No final deadline.

Make your first submission today.

[AIOZ Network @AIOZNetwork]

5/5 Explore Text Generation models on AIOZ AI.

Choose the model that fits your workflow.

[AIOZ Network @AIOZNetwork]

1/5 Text generation looks simple.

Until you need to choose between:

→ continuation vs structure

→ experiments vs reusable prompts

→ lightweight models vs broader workflows

Here’s how to think about Text Generation models on AIOZ AI.

[AIOZ Network @AIOZNetwork]

4/5 LiteLlama

→ prompt-continuation workflow

→ fast iteration from prompt to draft

→ useful for writing, prototyping, and conversational agents

Explore the full model profile:

https://t.co/rIbyJkSPSe