Begin with OPEN Cloudverse
Visit: https://ogpu.io
Connect your wallet
Fund your Cloud Wallet with $OPEN
Launch your first GPU-powered job in minutes
Track usage + receive output via dashboard or CLI
🚀 Getting Started
💡 Revenue from Cloudverse jobs flows into the protocol treasury, which then redistributes 12% to $OPEN stakers.
Best balance of power
-15% with ≥50k staked
140 OPEN/hr
RTX 4090
Efficient for CV models
-10% with ≥25k staked
90 OPEN/hr
RTX 3090
Great for large models
-20% with ≥100k staked
250 OPEN/hr
NVIDIA A100
GPU TypeHourly Rate (OPEN)Discount w/ StakeNotes
🪙 Pricing & Rewards (Example)
You’ll be able to integrate Cloudverse directly into MLOps pipelines, dev tools, and backend systems.
POST /jobs– Submit a compute jobGET /jobs/{id}– View job status/logsGET /wallets/balance– Check available creditsPOST /stake– Stake $OPEN for discounts + governanceGET /providers– List available nodes by region/specs
A full-featured REST & Web3 API will support:
📦 Developer API (Coming Soon)
Nodes earn a score based on uptime, completion rates, and latency
🛡️ Provider Reputation
Schedule larger jobs to be split across multiple nodes
📤 Auto-Scaling
Route jobs to providers nearest your data (latency-aware)
🌐 Edge Deployment
Upload/download code/data from IPFS, S3, or Web3Storage
📦 Storage Sync
Submit jobs, manage wallets, retrieve outputs via CLI tool
🧰 Dev-Friendly CLI
Launch complex pipelines from YAML specs or GitHub repo
🧠 Job Templates
Job logs + receipts stored immutably on IPFS or Filecoin
🧾 Transparent Logging
On-chain cost estimation + billing using job size, GPU time, and bandwidth
🔐 Smart Metering
FeatureDescription
💡 Key Features (Expanded)
All jobs are containerized, stateless, and can be re-run from identical seeds.
Monitor GPU usage (memory, compute cycles, cost)
Pause, resume, or clone workloads
Schedule repeating jobs or pipeline runs
Export logs, outputs, or performance reports for compliance
From the OpenGPU dashboard or CLI:
📊 Step 4: Monitor, Scale, Repeat
This approach guarantees fair usage, verifiable work, and zero hidden fees.
Pre-bill: A prediction of job cost is generated using historical usage data
Escrow: Amount is held in a smart contract (time-locked)
Execution: The GPU node processes your job in a containerized sandbox
Completion:
Smart contract checks for successful hash/output signature
Fees are disbursed instantly
Audit logs are made available via IPFS or Arweave
Any unused funds are refunded
⚙️ Step 3: Metering + Payment Flow
Cloudverse automatically matches your job to a node with compatible specs.
Choose GPU class: NVIDIA A100, RTX 4090, or tiered performance categories
Select runtime environment:
Pre-configured: PyTorch, TensorFlow, CUDA, Jupyter
Custom Docker Image: Bring your own dependencies
Upload your code + data (via IPFS, GitHub, or direct upload)
Set job parameters (runtime, region preference, output location)
🚀 Step 2: Launch a Compute Job
🔄 Optional: stake $OPEN to receive priority access + discounts
Connect your crypto wallet (e.g., MetaMask, Phantom, Coinbase Wallet)
Deposit $OPEN (or stablecoins) into your Cloud Wallet, a non-custodial smart contract holding your compute credits
View your balance, active jobs, and staked $OPEN from the OpenGPU dashboard
🔐 Step 1: Connect Wallet & Fund Cloud Wallet
🧭 How It Works (Expanded)
Cloudverse brings the infrastructure muscle to the open compute frontier.
Large-scale data analysis (Pandas, Dask, RAPIDS)
Backtest trading algorithms or run ZK-proof circuits
Natural language processing (e.g., vector embeddings, RAGs)
🔍 Data Science & Quant
Render high-fidelity scenes in Blender or Unity
Offload GPU rendering for 3D NFTs or game environments
Generate synthetic datasets for AR/VR
🎮 Real-Time Rendering & Media
GPU-accelerated simulations in physics, chemistry, genomics
Monte Carlo methods or fluid dynamics
GPU offloading for compute-heavy research
🧪 Scientific Computing
Train LLMs or fine-tune small/medium-sized models
Deploy inference endpoints for generative AI (Chatbots, Stable Diffusion)
Experiment with custom model architectures in PyTorch or TensorFlow
🧠 Machine Learning / AI
Whether you're a solo ML researcher or a startup deploying production AI, Cloudverse has you covered:
🛠 Use Cases: What You Can Build with Cloudverse
Cloud Payments removes the need for centralized invoicing, prepaid credit systems, or trust in intermediaries.
User estimates job cost via the OpenGPU dashboard or CLI
Funds are temporarily locked in a smart contract (escrow)
Upon job success:
The GPU node is paid
Unused gas/credits are returned to user
Receipt + audit log is generated
🔁 Workflow:
$OPEN – Native token (default and incentivized)
Stablecoins – $USDC and $DAI via cross-chain bridges (Polygon, Base)
Fiat – via integrated payment gateways (Stripe, Transak) — Coming Soon
🌍 Supported Payment Options:
Cloud Payments is the payment and metering layer within Cloudverse that powers trustless, on-chain billing. It ensures that users only pay for the exact amount of compute they consume, with smart contracts managing pricing, deposits, refunds, and payment settlement.
💳 Cloud Payments: Pay-as-You-Compute
Cloudverse turns the GPU economy into an open marketplace — programmable, scalable, and community-owned.
🔗 Runs on a global network of GPU providers (individuals, data centers, edge nodes)
🚀 Designed to deliver sub-60s job deployment
💰 Metered billing via smart contracts (Cloud Payments)
🌐 Integrates wallet-native authentication (no user accounts needed)
📡 Supports real-time job streaming, logs, and output retrieval
Core Attributes:
It is particularly optimized for compute-intensive workloads in fields like AI/ML, high-performance computing, scientific research, data science, and generative media.
Cloudverse is OpenGPU’s decentralized, cloud-native compute environment that allows users to seamlessly deploy workloads on distributed GPU infrastructure. It offers the flexibility of traditional cloud providers (like AWS or GCP), but with the cost-efficiency, transparency, and decentralization of a Web3-native system.
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