Ocean Network Launches Beta for Affordable P2P GPU Orchestration

TheNewsCryptoОпубликовано 2026-03-17Обновлено 2026-03-17

Введение

Ocean Network has launched the Beta of its decentralized peer-to-peer (P2P) GPU orchestration layer, creating a liquid on-demand compute market without centralized control. It enables data scientists and developers to run code directly, bypassing traditional cloud bottlenecks. The platform sources high-performance GPUs, including NVIDIA H200s and A100s, from partners like Aethir to ensure reliability. Its Orchestrator integrates with popular IDEs like VS Code, allowing custom hardware selection, one-click job deployment, and real-time monitoring. Ocean uses a Pay-Per-Use Escrow on Base L2, charging only for actual resource consumption, not idle time. It also employs Compute-to-Data (C2D) for secure processing of sensitive data without moving it. The network plans to soon allow node operators to monetize idle GPUs, expanding into a full P2P ecosystem.

Ocean Network today announced the official Beta launch of its decentralized peer-to-peer (P2P) compute orchestration layer. This marks a shift from fragmented hardware to a highly liquid market where compute is available on-demand, without the overhead of centralized gatekeepers. Powered by this architecture, Ocean Network allows modern data scientists and developers to bypass traditional cloud bottlenecks and move directly from code to execution.

Solving the “coordination problem” of decentralized compute

While the demand for high-performance GPUs has reached a fever pitch, decentralized compute has historically struggled with a usability gap. Most developers do not want to manage remote nodes, configure complex SSH keys, or gamble on unreliable uptime; they want to run code.

Ocean Network bridges this gap by focusing on the Orchestration Layer. To ensure top-tier reliability and performance from day one of Beta, Ocean Network is renting high-performance GPUs from Aethir, based on the partnership the two entered in 2025. This gives users immediate access to a massive fleet of industry-leading hardware, ranging from powerhouse NVIDIA H200s, H100s, and A100s to highly accessible 1060s and more.

“We aren’t just giving data scientists and developers access to GPUs; we are giving them an orchestration layer that makes decentralized compute feel like a local execution,” says the Ocean Network team. “This is the transition from manual infrastructure management to pure automatiON.”

Moving forward, Ocean Network will start aggregating global, idle GPUs into a unified P2P network, allowing anyone to set up an Ocean Node and monetize their high-performing underutilized compute resources.

Central to the Beta launch is the Ocean Orchestrator (formerly the Ocean VS Code Extension). Recognizing that the modern user’s workflow lives within their editor, the Orchestrator integrates natively with VS Code, Cursor, Windsurf, and Antigravity.

Unlike traditional cloud monopolies that force developers into expensive, rigid hardware tiers, Ocean Network offers total flexibility in resource allocation with no preset bundles. The UX is designed for granular control and speed:

  1. Custom Selection: Filter and select specific hardware models (e.g., Nvidia H200, A100, Tesla 4) and set the exact minimum requirements for CPU and RAM;
  2. ONe-Click Submission: Deploy containerized jobs (Python or JavaScript) with a single click once the precise environment is mapped;
  3. Real-Time Retrieval: Monitor the job live and automatically pull results back to the user’s local environment.

Pure AutomatiON: The Pay-Per-Use economics

Ocean Network challenges the “Reserved Instance” models of AWS and GCP. In traditional cloud environments, users pay for the time a machine is “ON,” regardless of whether it is actively computing or sitting idle.

Ocean Network introduces a Pay-Per-Use Escrow Mechanism deployed on Base (Ethereum L2) for low-fee, high-speed settlements. Funds are held in escrow and only released once the node successfully completes the job and returns the output. Users are charged strictly for the resources consumed by the specific job (time, hardware, and environment), effectively eliminating the cost of idle compute. All access and rewards are secured via wallet-based identity provided by Alchemy.

Security through Compute-to-Data (C2D)

For Web2 data scientists and AI agent aficionados handling sensitive data, Ocean utilizes Compute-to-Data (C2D). This architecture runs algorithms in isolated containers where the data resides. The raw data never leaves its perimeter; only the secure compute outputs are returned to the user.

Building the future of liquid compute

The Beta launch invites Web2 Data Scientists, Data Analysts, and Web3 Builders to experience a world where compute is a utility, not a bottleneck. While the initial Beta focus is on the demand side, that is empowering users to run jobs, the network will soon after expand to allow Node runners to monetize their idle high-power GPU and CPU capacity by joining the worker layer.

About Ocean Network

Ocean Network is a decentralized, peer-to-peer (P2P) compute network for pay-per-use compute jobs that turns idle or underutilized GPUs into usable distributed compute resources. It lets users choose a preferred Ocean Node with the resources the users need, submit a containerized job, and get results back without managing servers or infrastructure

CONTACT:

  • Name: Andreea Neagu
  • Job title: Marketing lead
  • Company: Ocean Network
  • Website: https://www.oncompute.ai/
  • Country: Singapore
  • Email: [email protected]

Disclaimer: TheNewsCrypto does not endorse any content on this page. The content depicted in this Press Release does not represent any investment advice. TheNewsCrypto recommends our readers to make decisions based on their own research. TheNewsCrypto is not accountable for any damage or loss related to content, products, or services stated in this Press Release.

TagsOcean NetworkPress Release

Связанные с этим вопросы

QWhat is the primary innovation that Ocean Network's Beta launch introduces to decentralized compute?

AOcean Network's Beta launch introduces a decentralized peer-to-peer (P2P) compute orchestration layer, which solves the usability gap in decentralized computing by providing an interface that makes it feel like local execution, bypassing the need to manage remote nodes or complex configurations.

QHow does Ocean Network ensure reliability and performance for its users during the Beta phase?

ATo ensure top-tier reliability and performance from day one of Beta, Ocean Network is renting high-performance GPUs from Aethir, providing users immediate access to a massive fleet of industry-leading hardware, including NVIDIA H200s, H100s, A100s, and more.

QWhat is the Ocean Orchestrator and which development environments does it integrate with?

AThe Ocean Orchestrator is a central tool for the Beta launch (formerly the Ocean VS Code Extension) that integrates natively with popular IDEs like VS Code, Cursor, Windsurf, and Antigravity, allowing users to deploy and manage compute jobs directly from their editors.

QHow does Ocean Network's Pay-Per-Use Escrow Mechanism work and what problem does it solve?

AOcean Network's Pay-Per-Use Escrow Mechanism, deployed on Base (Ethereum L2), holds funds in escrow and only releases payment once a node successfully completes a job and returns the output. This eliminates the cost of idle compute, challenging the traditional cloud model where users pay for reserved instance time regardless of usage.

QWhat security measure does Ocean Network use for users handling sensitive data?

AFor users handling sensitive data, Ocean Network utilizes Compute-to-Data (C2D) architecture. This runs algorithms in isolated containers where the data resides, ensuring the raw data never leaves its secure perimeter; only the computed outputs are returned to the user.

Похожее

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

An individual manipulated a weather sensor at Paris Charles de Gaulle Airport with a portable heat source, causing a Polymarket weather market to settle at 22°C and earning $34,000. This incident highlights a fundamental issue in prediction markets: when a market aims to reflect reality, it also incentivizes participants to influence that reality. Prediction markets operate on two layers: platform rules (what outcome counts as a win) and data sources (what actually happened). While most focus on rules, the real vulnerability lies in the data source. If reality is recorded through a specific source, influencing that source directly affects market settlement. The article categorizes markets by their vulnerability: 1. **Single-point physical data sources** (e.g., weather stations): Easily manipulated through physical interference. 2. **Insider information markets** (e.g., MrBeast video details): Insiders like team members use non-public information to trade. Kalshi fined a剪辑师 $20,000 for insider trading. 3. **Actor-manipulated markets** (e.g., Andrew Tate’s tweet counts): The subject of the market can control the outcome. Evidence suggests Tate’sociated accounts coordinated to profit. 4. **Individual-action markets** (e.g., WNBA disruptions): A single person can execute an event to profit from their pre-placed bets. Kalshi and Polymarket handle these issues differently. Kalshi enforces strict KYC, publicly penalizes insider trading, and reports to regulators. Polymarket, with its anonymous wallet-based system, has historically been more permissive, arguing that insider information improves market accuracy. However, it cooperated with authorities in the "Van Dyke case," where a user traded on classified government information. The core paradox is reflexivity: prediction markets are designed to discover truth, but their financial incentives can distort reality. The more valuable a prediction becomes, the more likely participants are to influence the event itself. The market ceases to be a mirror of reality and instead shapes it.

marsbit11 мин. назад

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

marsbit11 мин. назад

First Day Review of "Musk's WeChat" XChat: Even Worse Than Expected

Elon Musk's much-anticipated "WeChat-like" app, XChat, has officially launched after multiple delays. The initial review reveals a product that falls short of expectations, offering an experience largely similar to X Platform's (formerly Twitter) direct messages, despite being marketed as an encrypted communication tool. Key observations from the first-day test include: 1. The app's promoted "end-to-end encryption" and its claimed relation to Bitcoin's architecture were criticized by experts as a superficial attempt to capitalize on crypto buzz, with no real technical connection. 2. Musk's vision of an ad-free "secure communication system" is technically met, but only because the app is currently extremely basic, featuring only a single chat interface. 3. A promised anti-screenshot feature appears inconsistent; it works in X Platform group chats but fails within the XChat app itself, where screenshots still capture avatars. 4. The app supports 45 languages and has a 16+ age rating, indicating a broader tolerance for content compared to WeChat's 13+ rating. 5. A puzzling login process requires users to verify the email associated with their X account. 6. The touted encryption" feels minimal in practice, with its presence only indicated by a simple "Encrypted - Yes" label on messages. 7. Disappearing message timers for groups can be set from 5 minutes to 4 weeks, with the timer starting upon being read by a user. 8. Group invite links are shared with X Platform groups. 9. Group size limits are planned to be increased, aiming for 1000 members, a move that has drawn user criticism. 10. The app offers 8 different colored icons, and its chat bubbles are notably similar to WeChat's. Message deletion options mimic Telegram's. Crucially, many pre-announced features like importing X contacts, integrating Grok AI, X Money payments, and Cashtags are not yet available. The initial release is seen as a bare-bones and underwhelming first step.

Odaily星球日报1 ч. назад

First Day Review of "Musk's WeChat" XChat: Even Worse Than Expected

Odaily星球日报1 ч. назад

Торговля

Спот
Фьючерсы
活动图片