Thunk.AI offers versatile deployment options that cater to a wide range of needs, including private cloud locations and cloud providers, and scalability across any allowed regions. This flexibility ensures that organizations can deploy Thunk.ai in a manner that aligns with their specific operational requirements and compliance mandates. The Thunk platform uses Kubernetes -based deployments for efficient, manageable and scalable deployments.
There are three types of deployments available:
Public LLM and multi-tenant - this is the 100% hosted SaaS version of Thunk.AI.
Private instance where all services are managed by the customer, and the customer has also brought their own LLM to the installation. Components of this model can still be managed by Thunk.AI as needed.
Deploying Thunk.AI to private cloud locations allows organizations to maintain control over their data and infrastructure, which is particularly beneficial for industries with stringent data privacy and security regulations. By leveraging any cloud provider, Thunk.AI can be seamlessly integrated into existing cloud environments, providing a consistent and unified platform for AI-driven automation.
The ability to deploy at scale ensures that Thunk.AI can accommodate the needs of large enterprises. This scalability is crucial for organizations that anticipate growth or have fluctuating workloads, as it allows them to adjust resources dynamically without compromising performance or efficiency.
Overall, the Thunk.AI deployment options provide organizations with the flexibility, security, and scalability needed to harness the power of AI while adhering to their unique operational and regulatory requirements.