Solutions
One protocol, many ways in
VirtEngine serves both sides of the compute market and everyone securing it. Find the path that matches what you run, hold, or build — each page covers the problem, the protocol's answer, the economics, and the first steps.
Supply the network
For operators with capacity to lease
Datacenters, GPU fleets, and HPC facilities earn settled revenue by serving on-chain leases.
Operator topology: facility → daemon → market
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GPU compute providers
Monetize GPU Capacity on an Open Marketplace
Operators with GPU fleets — from a few nodes to full accelerator clusters.
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Datacenter operators
Turn Datacenter Headroom into Settled Revenue
Datacenter and cloud operators with underutilized compute, storage, or network capacity.
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HPC clusters
Put Supercomputing Capacity on the Marketplace
University, national-lab, and commercial HPC facilities running batch schedulers.
Secure the network
For validators, partners & token holders
Consensus plus the VEID Network — one bonded stake, layered rewards, honest risk disclosure.
Protocol nodes: stake → consensus + identity → rewards
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Validators
Run a Validator: Consensus, VEID & Rewards
Professional node operators and infrastructure teams considering the validator role.
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Staking partners
Build Staking Services on a First-Class Layer
Staking-as-a-service businesses, custodians, and exchanges offering staking products.
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Token holders
Token Guide: Utility, Staking & Governance
Token holders deciding whether and how to participate beyond holding.
Build & deploy on the network
For developers, enterprises & workloads
Typed module surfaces for builders; verifiable confidentiality, GPU sourcing, and auction-set pricing for tenants.
Workload requirements → matching capacity
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Web3 developers
Build on VirtEngine: Cosmos SDK for Developers
Developers building wallets, tooling, marketplaces, and applications on the protocol.
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Confidential compute
Confidential computing with proof, not promises
Enterprises with regulated data, proprietary models, or confidentiality obligations.
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AI/ML workloads
Source Training and Inference Capacity On-Chain
ML teams that need training or inference capacity without hyperscaler lock-in.
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Cost-optimized cloud
Cut Cloud Costs on an Open Market
Teams whose cloud bills grew faster than their workloads.
Not sure where to start?
Start with how the marketplace works
Every solution above rests on the same five-stage lifecycle — order, match, lease, usage, settlement. Match is where the three buying paths part ways: direct at a listed price, open to competing bids, or resolved by attribute. The marketplace walkthrough explains it end to end, and the FAQ answers the most common questions from providers, stakers, and developers.