Autodeployment
Auto deployment: Serverless AI Deployment for Maximum Flexibility & Cost Efficiency
The Solidus AITECH AI Marketplace and Agent Forge are designed to provide seamless, scalable access to AI models, agents, and applications. A core innovation enabling this flexibility is our Auto deployment feature, which allows AI publishers to offer their solutions in a serverless deployment environment, eliminating the need for fixed compute infrastructure.
How Auto deployment Works
Auto deployment enables AI solution publishers to host and deploy their models and applications without managing dedicated GPU resources. Instead of provisioning costly infrastructure upfront, publishers can:
Connect their GitHub repository that contains a Docker image of their AI model, agent, or application.
Upload their AI solution directly to our secure Harbor repository, where it is stored and readily available for on-demand execution.
Once an AI solution is registered, users can deploy it instantly on any GPU stack or VM available in our Compute Marketplace. Deployment is fully automated and requires just a few clicks—users simply select the compute instance that matches their requirements and start running the AI solution without manual setup.
Benefits for AI Developers & Publishers
For AI solution creators, Autodeployment removes the financial and operational barriers associated with hosting AI services:
Zero Fixed Compute Costs: Publishers don’t need to maintain costly cloud GPU instances or on-premise servers. Instead, they only incur costs when their AI solutions are actively used.
Effortless Integration & Deployment: By using either a GitHub Docker repository or our secure Harbor repository, publishers can instantly make their AI solutions accessible to a global audience.
Monetization & Scalability: Solutions can be monetized on a pay-per-use model, ensuring developers are compensated based on actual usage without the need for costly infrastructure investments.
For users, Autodeployment ensures instant access to high-performance AI solutions while keeping costs predictable and usage-based:
Deploy AI Agents, Models, and Applications on Demand: Users can select any AI solution and deploy it within seconds—no manual setup, container orchestration, or infrastructure management needed.
Pay Only for Compute Used: Instead of subscribing to expensive cloud AI services with fixed costs, users only pay for the exact duration of GPU usage, making AI adoption more cost-effective.
Flexible Compute Options: Users can choose from a wide range of GPU stacks and VMs in the Compute Marketplace, selecting hardware that best fits their AI workloads.
Revolutionizing AI Accessibility & Efficiency
By eliminating infrastructure costs for developers and providing frictionless access to AI solutions for users, Autodeployment transforms how AI applications are deployed and consumed. This feature ensures the Solidus AITECH AI Marketplace remains the most scalable, cost-effective, and developer-friendly AI platform, empowering innovation while optimizing resource utilization.
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