Ocean Network Launches Beta for Affordable P2P GPU Orchestration

TheNewsCryptoОпубліковано о 2026-03-17Востаннє оновлено о 2026-03-17

Анотація

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: help@oncompute.ai

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

Пов'язані питання

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.

Пов'язані матеріали

9.42 Million Retail Investors Compete for Changxin Technology, Who Got Allotted?

Evergreen Technology's IPO subscription results are now available. On July 20, the domestic memory chip giant announced the offline preliminary allotment results and online lottery results for its IPO. A total of approximately 9.43 million retail investors participated in the online subscription, generating 770,000 winning lots with a final winning rate of about 0.4714%, setting a record for new shares on the STAR Market. After triggering a clawback mechanism from institutional to retail investors, the online retail allocation was significantly increased to 3.851 billion shares. Simultaneously, 285 institutional investors participated in the offline subscription, ultimately receiving 2.173 billion shares at an allotment rate of approximately 0.1756%. Leading insurers and public funds were among the major recipients. Notably, Liang Wenfeng, founder of the major AI model company DeepSeek, through his quantitative investment firms Ningbo Huanfang Quantitative and Zhejiang Jiuzhang Asset, secured the largest share among private funds, with a total allotment worth approximately 175 million yuan. Estimates suggest potential profits could reach 730 million yuan if Evergreen Technology's market capitalization reaches 3 trillion yuan post-listing. The company is expected to list on July 27 and could become the highest-valued tech stock on the A-share market, with various brokerages providing valuations ranging from 1 trillion to over 4 trillion yuan. However, recent significant corrections in global tech stocks may impact its post-listing performance. (Character count: 1,196)

marsbit57 хв тому

9.42 Million Retail Investors Compete for Changxin Technology, Who Got Allotted?

marsbit57 хв тому

3 Million-Follower Goddess Fully AI-Synthesized, Fake Orphanage, Cross-Border ‘Fake Charity’ Collapses Overnight

An Australian influencer named Lily Jay, with nearly 3 million Instagram followers, is at the centre of a major AI-fueled charity scam. Her 'Lily Jay Foundation' claimed to build orphanages, mosques, and deliver aid in places like Uganda and Gaza, using emotionally powerful videos of herself with children. However, an investigation by ABC NEWS Verify revealed these scenes—including a key video announcing an orphanage's opening—were entirely AI-generated, complete with telltale flaws like garbled text on clothing. The foundation's 'humanitarian award' was also faked using AI images. The foundation admitted in small print on its website that it is not a registered charity, avoiding financial transparency laws. While based in Kosovo, its operations and the influencer's lavish personal lifestyle raised further red flags. Following media inquiries, the foundation selectively hid donation buttons and removed fraudulent content for Australian visitors, but kept them active internationally. Experts warn this case is a textbook example of how AI can be weaponized to exploit public trust and generosity, creating believable but entirely fabricated narratives of aid. The incident highlights the growing danger of deepfakes in eroding trust within the charitable sector, urging donors to critically verify causes before giving.

marsbit1 год тому

3 Million-Follower Goddess Fully AI-Synthesized, Fake Orphanage, Cross-Border ‘Fake Charity’ Collapses Overnight

marsbit1 год тому

L2 'Recalibration': When L1 Becomes Its Own Rollup, What Is Ethereum's Endgame?

The article discusses the evolving relationship between Ethereum's Layer 1 (L1) and Layer 2 (L2) solutions, moving beyond the initial "L2 for scaling" model. As Ethereum L1 itself scales (increasing Gas Limit, statelessness, zkEVM), the unique value proposition of L2s shifts from merely providing cheap execution to offering differentiated features like application-specific optimization, privacy, and flexible governance. The piece explores three key themes: 1. **L2's New Role:** L2s are transitioning from a pure scaling technology to a spectrum of execution environments with varying degrees of security inheritance from Ethereum L1. 2. **Interoperability as State Trust:** Solving L2 fragmentation is less about cross-chain bridges and more about enabling faster, trust-minimized state verification between environments. This involves initiatives like faster L1 finality, intent-based architectures (Open Intents Framework), and native account abstraction. 3. **Blurring Layers:** With the potential integration of zk-proofs into L1 validation (making L1 akin to its own "Rollup") and the concept of "Native Rollups," the rigid boundary between L1 and L2 may fade. The future could be a unified system with multiple execution domains (for DeFi, gaming, privacy, etc.) sharing a common security, settlement, and state framework. In conclusion, Ethereum's goal is not to abandon L2s or re-centralize everything on L1, but to re-integrate the fragmented user experience—liquidity, accounts, applications—while preserving the scaling benefits of a multi-environment ecosystem. The endgame is a cohesive "one chain" feeling for users, powered by diverse but securely interconnected execution layers.

marsbit1 год тому

L2 'Recalibration': When L1 Becomes Its Own Rollup, What Is Ethereum's Endgame?

marsbit1 год тому

Торгівля

Спот
活动图片