Deployment Flexibility
Run in the cloud, in a private cloud, or entirely on your own infrastructure.
In enterprise AI, 'how it runs' matters as much as 'where it runs.' remot can run the entire runtime — inference, orchestration, RAG and vector storage — in public cloud, private cloud or on-premise, with you defining the data boundaries and security policies.
Deployment options
Each workload can use the deployment model best suited to its privacy, latency, regulatory and infrastructure needs.
- Public cloud, private cloud or on-premise
- Docker and Kubernetes/OpenShift compatibility
- Independent scaling of models and services
- Customer-managed GPU infrastructure
Data sovereignty
Sensitive data can be processed without leaving your environment; the rules stay with you.
- Configurable data boundaries
- Private model endpoints
- Customer-controlled security policies
- Combine on-prem and cloud models in one architecture
Use cases
- On-prem AI in regulated industries
- Public sector, finance and healthcare needing data sovereignty
- Efficient use of an existing GPU cluster
Frequently asked questions
What is Deployment Flexibility?+
In enterprise AI, 'how it runs' matters as much as 'where it runs.' remot can run the entire runtime — inference, orchestration, RAG and vector storage — in public cloud, private cloud or on-premise, with you defining the data boundaries and security policies.
What deployment options are available for Deployment Flexibility?+
Each workload can use the deployment model best suited to its privacy, latency, regulatory and infrastructure needs. Public cloud, private cloud or on-premise. Docker and Kubernetes/OpenShift compatibility. Independent scaling of models and services. Customer-managed GPU infrastructure.
How does Deployment Flexibility protect data sovereignty?+
Sensitive data can be processed without leaving your environment; the rules stay with you. Configurable data boundaries. Private model endpoints. Customer-controlled security policies. Combine on-prem and cloud models in one architecture.
What are typical use cases for Deployment Flexibility?+
On-prem AI in regulated industries. Public sector, finance and healthcare needing data sovereignty. Efficient use of an existing GPU cluster.
Let's apply this to your business
With a tailored demo, we'll show how remot adds value to your organization.
Request a Demo