Compute Marketplace
Scalable, Cost-Efficient, and Decentralized GPU Power for AI & HPC – Empowering Users, Data Centers, and GPU Owners with Seamless Monetization and Transparent Transactions.
Last updated
Scalable, Cost-Efficient, and Decentralized GPU Power for AI & HPC – Empowering Users, Data Centers, and GPU Owners with Seamless Monetization and Transparent Transactions.
Last updated
The Solidus Ai Tech Compute Marketplace will provide unparalleled computing power through a state-of-the-art HPC Data Center in Europe and a global network of GPU vendors (DePIN). Businesses of all sizes will be able to browse a vast selection of GPUs, customize their environment, and deploy instances with a single click.
A control panel will offer usage analytics, performance monitoring, and user-friendly logs for optimizing workloads. GPU resource vendors will list and manage their offerings, reaching a global audience with ease.
Pay-Per-Use Model: Users can tap into GPU resources only when needed, paying for compute time by the hour or minute rather than committing to long-term contracts.
Elastic Resources: Scale up or down quickly based on project requirements. Whether it’s a short-term AI model training or an intensive scientific simulation, the marketplace provides the right level of compute at the right time.
Competitive Pricing: Because multiple GPU owners list their resources, users can compare rates and choose the most cost-effective option for their workloads.
Reduced Overheads: Traditional cloud providers often bundle services and additional fees. The Compute Marketplace streamlines costs into straightforward GPU rental fees, saving users from hidden expenses.
High-Performance Configurations: Access powerful GPU clusters and HPC (High-Performance Computing) systems in professional data centers, equipped for large-scale machine learning, CGI rendering, or research simulations.
Diverse Options: Some tasks may require specialized hardware configurations (e.g., RDMA networking, large memory nodes). The marketplace’s variety ensures you can find precisely what you need.
Optimized Resource Utilization: Data centers often have underused GPU clusters during off-peak cycles. Listing those resources on the marketplace converts idle capacity into continuous revenue.
Steady Revenue Stream: As AI, big data, and simulation workloads grow, consistent demand can yield a reliable inflow of AITECH tokens for data centers.
Customized Availability Windows: Data center owners can decide when and how much capacity to offer. This ensures that corporate or contractual obligations are always prioritized, with spare resources monetized.
Tiered Offering: Provide various tiers of service (e.g., standard, premium, HPC) at different price points to attract a broad user base.
Global Exposure: By joining the Compute Marketplace, data centers gain visibility among a worldwide community of developers, researchers, and enterprises.
Performance Benchmarking: Positive user feedback on compute performance and uptime further boosts credibility, attracting more renters and sustaining growth.
Earning from Unused Resources: If you own a powerful GPU (e.g., for gaming, content creation, or personal research) that remains idle for part of the day, you can earn AITECH tokens by renting out this capacity.
Simple Setup: The Compute Marketplace offers user-friendly tools to onboard and monitor your hardware, ensuring a straightforward path to monetization.
Control Over Availability: Individual owners can specify usage windows and set rental prices, ensuring that personal needs are never compromised.
Community-Driven Growth: By contributing to a shared resource pool, individual owners help expand the overall network capacity, making AI and HPC more widely accessible.
Resource Usage Tracking: The marketplace’s integrated dashboard provides transparent information about compute hours, token earnings, and system health.
Automated Payouts: As tasks complete, the system automatically disburses AITECH tokens to GPU owners based on actual usage, ensuring fair and timely compensation.
Rental Payments: All compute usage fees—whether from individual GPU owners or data center providers—are settled in AITECH tokens.
Revenue for Providers: Data centers and individual owners receive tokens for the time their hardware is in use, creating a direct, transparent link between utilization and earnings.
Competitive Pricing: Providers can set their GPU rental costs in AITECH tokens, leading to market-driven rates. This encourages fair pricing and ensures healthy competition.
Quality and Reputation: Nodes with high uptime, quick response times, or specialized hardware can command premium token rates, fostering an ecosystem where quality is rewarded.