Green.Aioz.com

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[AIOZ Network @AIOZNetwork]

AIOZ AI Major Update: API Access Is Rolling Out

The models you've been running in Playground can now run in your code.

What we shipped:

→ API Keys for solo and team access

→ REST API with one endpoint per model

→ Official SDKs across Python, Node.js, and Go

Now you can:

→ Run inference in batches

→ Wire models into backends

→ Chain AI pipelines

A model you can click is a demo. A model you can call is a building block.

Create a key, make your first call, and start building.

[AIOZ Network @AIOZNetwork]

https://t.co/UO6jp8ODbP

[AIOZ Network @AIOZNetwork]

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

[AIOZ Network @AIOZNetwork]

AIOZ Stream supports flexible media workflows for creators, viewers, and developers.

What this enables:

→ Video/audio on demand, with live streaming ahead

→ AI-assisted features like multilingual video summaries

→ Evolving monetization paths

DePIN-powered streaming makes it easier to onboard new formats and iterate across creator-led products.

Build your next media workflow with AIOZ Stream.

[AIOZ Network @AIOZNetwork]

https://t.co/5z3Ya1zgzX

[AIOZ Network @AIOZNetwork]

https://t.co/FeHBVwiwxA

[AIOZ Network @AIOZNetwork]

Streaming demand now goes beyond the upload–store–deliver model.

AIOZ Stream is designed for creators, viewers, and developers across a broader media workflow.

What this supports:

→ Video and audio publishing across creator-led and multi-format media

→ DePIN-powered infrastructure for adaptability and reliability

→ Architecture ready for evolving monetization logic

Pipeline design now shapes product outcomes across distribution, growth, and experience quality.

Explore how AIOZ Stream fits your media workflows.

[AIOZ Network @AIOZNetwork]

Early detection changes everything in melanoma outcomes.

The Melanoma Skin Cancer Classification Challenge is now LIVE on AIOZ AI.

What you’ll practice:

→ Binary classification on dermatoscopic images (benign vs malignant)

→ Preprocessing and augmentation for medical imaging data

→ Transfer learning for small, high-impact datasets

This is where model accuracy meets real clinical relevance.

Ready to build on a real-world vision task?

Join anytime. No final deadline.

[AIOZ Network @AIOZNetwork]

AIOZ DePIN CLI provides operators with a direct path to run DePIN services through scriptable, production-ready workflows.

What’s included in CLI v1.2.6:

→ Native AI compute integrated into the DePIN runtime

→ Unified visibility across storage, delivery, transcoding, and AI

→ Explicit storage controls for predictable resource usage

→ Built-in health checks with automatic recovery

→ Experimental auto-update for long-running environments

Get started with AIOZ DePIN CLI and run your first AI-enabled DePIN workflow today.

[AIOZ Network @AIOZNetwork]

The AIOZ DePIN GUI enables non-technical contributors to get started with DePIN operations via an intuitive desktop interface.

What’s included in GUI v4.2:

→ Storage limit control and storage location management

→ Runtime scheduling windows for predictable operation

→ Pause, resume, and lock controls for flexible resource usage

→ Withdrawal of in-app rewards

AIOZ DePIN powers production workloads across Storage, Delivery, AI, and Transcoding.

Get started with the AIOZ DePIN GUI and complete your first setup in minutes.

[AIOZ Network @AIOZNetwork]

https://t.co/LlNKcx0s23

[AIOZ Network @AIOZNetwork]

Looking for a way to practice Machine Learning classification skills?

The Iris Flower Classification Challenge is now LIVE on AIOZ AI.

You'll practice how to:

→ Apply models like Random Forest and Support Vector Machines

→ Analyze feature importance across 22 inputs and understand decision boundaries

→ Build tabular classifiers for ecological and biological data

→ Translate model outputs into real-world monitoring systems

These are core foundational skills that translate into real ecological impact.

Ready to test your first classifier in one sitting?

Join now, make your first submission, and start improving from the first run!

[AIOZ Network @AIOZNetwork]

https://t.co/Y0Py088r9K

[AIOZ Network @AIOZNetwork]

Set up your Custom Domain on AIOZ Storage:

https://t.co/WE7hT3b1QG

[AIOZ Network @AIOZNetwork]

https://t.co/jQ92jObwWd

[Green.Aioz.com @BenoitBlanchot]

@AIOZNetwork @CrytoAi What AIOZ has achieved is really impressive. It’s very promising—great work overall.

[AIOZ Network @AIOZNetwork]

https://t.co/QZsB76thgA

[AIOZ Network @AIOZNetwork]

AIOZ Network Vision Paper V2 introduces a unified DePIN layer that brings together storage, pinning, streaming, and AI within one coordinated system.

This video walks through the core architecture, alongside the infrastructure and application layers.

Explore our vision and start building on AIOZ Network!

[AIOZ Network @AIOZNetwork]

Jensen Huang’s keynote during @nvidia GTC 2026 made something clear:

The AI conversation is gradually shifting from model training to inference, orchestration, and real-world deployment.

His speech also highlighted the growing importance of full-stack AI infrastructure, as agentic AI and open models demand a stack that is more connected, flexible, and deployment-ready at every layer.

As this shift continues, infrastructure is already the differentiator.

The AIOZ Network Vision Paper V2 details how we are building towards this future with a unified DePIN layer that connects storage, pinning, streaming, and AI.

[Green.Aioz.com @BenoitBlanchot]

@2xnmore $AIOZ — $5