🏛️ European Parliament Speeches Decoded

**Ocean Network launches premium NVIDIA H200 GPU access** starting at $2.16/hour through their dashboard at [dashboard.oncompute.ai](https://dashboard.oncompute.ai/). **Key features:** - Pay-per-use pricing model - Escrow-protected payments - Free compute credits for testing - Remote global node access - Direct IDE integration The platform addresses a common developer pain point: **paying for idle GPU time**. Ocean's system only charges for actual execution time, with funds released via escrow only when jobs complete successfully. **How it works:** - Jobs run in isolated containers - Launch directly from your IDE via Ocean Orchestrator - If a node fails, no charges apply - Failed code only bills for compute actually used New users can claim **$100 in complimentary credits** to start building. The platform supports containerized GPU compute jobs with real-time monitoring and instant recovery if nodes go offline.

**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)

Ocean Protocol has introduced a **Free Compute feature** to their VS Code extension to address image generation failures during rapid scaling. The new feature allows users to: - Start with small, fixed-seed baselines - Lock their settings for consistency - Save both configurations and outputs - Maintain stable, repeatable runs This approach helps developers **experiment and scale at their own pace** while avoiding common pitfalls that occur when scaling too quickly. Users receive **7,200 seconds of free compute time** to test the feature and get started with their projects. The extension continues Ocean's mission to provide seamless AI development tools that combine compute power, privacy, and algorithms directly within developers' preferred IDE environment.