Different projects require diverse computational requirements. AryaXAI enables users to tailor server resources to match specific project demands. This customization enhances performance, scalability, and resource utilization. 

NOTE: The availability of specific compute options is determined by the user's or organization's plan. Higher-tier plans may offer access to more powerful or additional server options.

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Serverless ML and Dedicated Server Options

AryaXAI offers two primary types of computational resources: Serverless ML and Dedicated Servers. This flexibility enables users to optimize performance by selecting the most appropriate server size for their tasks. Users can also scale resources up or down as project needs evolve, ensuring optimal resource usage.

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Serverless ML Options:

• Available sizes: Small, Medium, Large, X-Large, 2X-Large
• Applicable to all tasks except synthetic-related tasks.
• Credits are deducted based on runtime and selected specifications.

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Dedicated CPU Options:

• Available instances: t3.medium, t3.large, t3.xlarge, t3.2xlarge, m4.large, m4.xlarge, m4.2xlarge, m4.4xlarge, m4.10xlarge, m4.16xlarge, c4.large, c4.xlarge, c4.2xlarge, c4.4xlarge, c4.8xlarge, c5.9xlarge, c5.12xlarge, c5.18xlarge, c5.24xlarge
• Available for all tasks except synthetic-related tasks.
• Credits are deducted based on the total time the instance is running.

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Dedicated GPU Options:

• Available instances: Shared, xlargeT4, 2xlargeT4, 4xlargeT4, 8xlargeT4, 12xlargeT4, 16xlargeT4, 32xlargeT4, xlargeA10G, 2xlargeA10G, 4xlargeA10G, 8xlargeA10G
• Exclusively for synthetic tasks (e.g., model training, synthetic data generation, anonymity tests).
• Credits are deducted based on the total time the instance is running.

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Default Option in Dedicated CPU:

Users who do not wish to use a dedicated instance can opt for the default, which implies no custom workspace/project.

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Shared GPU Option

• The shared GPU option (Arya's free shared infrastructure) is always visible.
• Usage is limited based on the user's plan (e.g., a plan allowing 6 hours of shared GPU usage will restrict further use once the limit is reached).
• Other GPU options will be charged against the user's credit balance.

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Scenarios and Resource Management

1. No Custom Workspace/Project:
   • Users will only see serverless options, with credits deducted based on runtime and selected specifications.
2. Custom Workspace, No Custom Project:
   • All projects utilize the dedicated workspace server.
   • Users can choose between serverless and dedicated options.
   • For dedicated options, credits are deducted based on the total time the dedicated instance runs, not task runtime.
3. No Custom Workspace, Custom Project:
   • Users can choose between serverless and dedicated options.
   • For dedicated options, credits are deducted based on the total time the dedicated instance runs, not task runtime.
4. Custom Workspace, Custom Project:
   • Users can choose between serverless and dedicated options.
   • For dedicated options, credits are deducted based on the total time the dedicated instance runs, not task runtime.

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