Superintelligence Summit 2025 Announced for Buenos Aires

Ocean Network now provides on-demand access to NVIDIA H200 GPUs for $2.16/hour through their [dashboard](https://dashboard.oncompute.ai/run-job/environments), with jobs running up to 12 hours. **Key capabilities:** - 141GB HBM3e memory per H200 unit - Fine-tune Llama 3.1 70B models on proprietary data - Test multiple training configurations in a single session - Pay-per-use model with escrow-secured USDC payments **How it works:** - Select compute environment from live benchmarked nodes - Fund jobs through escrow (charged only for actual usage) - Run code via Ocean Orchestrator with live log streaming The service targets teams that need occasional access to high-end compute without committing to expensive monthly GPU contracts. Domain-adapted models trained this way can outperform general-purpose LLMs on specific internal tasks.

**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)

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.