required environment
The Core InfastructureNeeded To Run Seed AI.
A typical production deployment requires a Windows Server environment with dedicated GPU resources, IIS, SQL Server, sufficient system memory and high-speed storage, and secure network access for authorized users.
Windows Server
A supported Microsoft Windows Server environment under the control of your business.
NVIDIA GPU
Production GPU capacity sized for your selected models, expected concurrent usage, context requirements, and desired response performance.
Microsoft IIS
IIS installed and configured to host the private Seed AI web application.
SQL Server
Microsoft SQL Server for application data, users, model configuration, agent settings, knowledge-base records, configuration, and chat data.
Business network
Secure network access for employees, administrators, and any approved remote users.
SSD / NVMe Storage
High-speed storage for AI models, company documents, indexes, application data, logs, exports, and backups.
server environment
Runs On A Windows ServerIn Your Network
Seed AI runs as a private business application within a supported Microsoft Windows Server environment.
The server may be dedicated to Seed AI or provided through another supported configuration that gives the application direct access to the required NVIDIA GPU resources.
For production and multi-user deployments, a dedicated GPU-enabled server is recommended for predictable performance, capacity planning, and future expansion.
Plan The Right Environment
Start With How Your Business Will Use AI.Build the Server Around The Workload.
We can help your IT team select the GPU, system memory, storage, and server configuration required for your Seed AI deployment based on your models, platform users, expected simultaneous usage, performance requirements, and future growth.
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