Ocean Protocol Announces New Data Challenge

Ocean Network has introduced pay-per-use access to NVIDIA H200 GPUs starting at **$2.16 per hour**, with no minimum reservations required. **Key features:** - On-demand compute resources for AI workloads - No waiting for capacity availability - Suitable for inference, model fine-tuning, and testing - $100 in complimentary tokens for new users The service aims to remove barriers for developers who need immediate compute access when inspiration strikes, rather than planning around reservation schedules. [Start building](https://dashboard.oncompute.ai/run-job/environments) | [Claim tokens](http://dashboard.oncompute.ai/grant/details)

**Lunor AI** is launching **MediaLens**, a new quest focused on analyzing how international actors are portrayed in war and conflict news coverage. **Key Details:** - Launch date: June 9 - Reward pool: 2,500 USDC - No coding skills required Participants will examine news articles to identify: - Which countries support or criticize each other - Unclear or ambiguous stances - How media shapes understanding of global conflicts The quest emphasizes careful reading and contextual judgment to understand how news coverage influences perceptions of alliances and power dynamics.

**Ocean Network launches premium NVIDIA H200 GPU access** Ocean Network has made NVIDIA H200 GPUs available through their dashboard at $2.16 per hour. The service includes: - **Pay-per-use pricing** with escrow-protected payments - **Free compute credits** for testing - **Remote execution** on global nodes - **Direct IDE integration** via Ocean Orchestrator The platform addresses common cloud computing pain points by charging only for actual execution time. If a node fails, no charges apply. If code fails, users pay only for compute actually used. Key features include: - Pre-qualified, benchmarked nodes - Containerized job execution - Real-time monitoring and logs - Fast recovery when nodes go offline Users can launch AI workloads directly from VS Code, Cursor, Antigravity, or Windsurf editors without managing infrastructure or dealing with idle billing. [Try Ocean Network Dashboard](https://dashboard.oncompute.ai/) [Read Documentation](https://docs.oncompute.ai/ocean-orchestrator/using-ocean-orchestrator-with-ocean-dashboard)

**Lunor AI** has launched the **TripFit Tags** data annotation challenge, running until March 10 with a prize pool of **1,500 USDC**. **How it works:** - Read travel listings and review their details - Categorize each listing by traveler type: Solo, Couple, Family, or Group - Help train smarter travel search systems The challenge offers straightforward tasks that contribute to improving travel recommendation algorithms. Participants label data that will enhance how travel platforms match listings to user preferences. [Learn more about the challenge](https://twitter.com/lunor_ai)

Ocean Protocol has launched Ocean Nodes, a decentralized computing infrastructure designed for AI and machine learning workloads. **Key features:** - Builders can access geographically distributed compute to train, fine-tune, and run models without centralized cloud providers - Ocean C2D (Compute-to-Data) keeps data and algorithms sealed inside containers—compute executes remotely, only outputs are returned - GPU owners can monetize idle hardware by contributing capacity to the network - Jobs run in isolated, containerized environments The infrastructure aims to create a sovereign compute layer for AI that is open and distributed, addressing the growing demand for GPU resources as AI workloads scale. [Learn more about Ocean Nodes](https://docs.oceanprotocol.com/developers/ocean-node)