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DeepFellow Infra is a self-hosted infrastructure, a physical stack that holds the computing power for AI models to work. It's a home for the LLMs, embedding models, and MLAs.
Overview
DeepFellow is a private AI framework allowing software teams to deliver compliant, auditable, and scalable AI - tailored to the most demanding sectors. Unlike SaaS LLMs, DeepFellow runs entirely within your environment, adapts to your internal knowledge, and scales with your operations without exposing sensitive information or compromising auditability. You decide which data the system learns from, how it is accessed, and where it runs.
DeepFellow Infra is a self-hosted infrastructure, a physical stack that holds the computing power for AI models to work. It's a home for the LLMs, embedding models, and MLAs.
Highlights
- Security and control: DeepFellow models run entirely within your infrastructure, giving you full control over data, logic, and compliance. No data ever leaves your environment, and no third-party online LLM has access to your prompts, responses, or internal knowledge base.
- Internal data safety: AI operates on your organization's data through secure, server-side integrations. It accesses only what you allow it to, and nothing more - enabling powerful automation and decision support, without sacrificing data protection.
- Marketplace-level integrations: DeepFellow integrates with leading MCPs and external tools, enabling secure use of market-standard models within your private context. Custom connectors ensure compatibility with your tech stack without exposing internal data.
Details
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64-bit (x86) Amazon Machine Image (AMI)
Latest version
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Debian 13
Deployed on AWS
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
DeepFellow Infra is a self-hosted AI infrastructure stack that runs models on your own hardware. The software itself is free. You pay hourly for the GPU-backed AWS instance type you choose to run it on. Each dimension maps to a different EC2 instance, so pricing scales with the compute power you select. Options include p5.4xlarge, g5.xlarge, g6e.xlarge, g4dn.xlarge, g6.xlarge, and p3.2xlarge. Larger or newer GPU instances carry different hourly rates. You pick the instance that fits your workload and pay only for the hours you run it.
Top-of-mind questions for buyers
Each dimension maps to a specific GPU-backed AWS EC2 instance type. You are billed per hour that the chosen instance runs the software. The instance types differ in GPU model, memory, and compute power, so you select one that matches your workload's needs.
Software charges accrue per running instance-hour. When you stop the instance, hourly software charges stop too. Stopped instances may still incur underlying AWS storage fees for attached volumes, but the software meters running time only.
Each running instance bills independently at its own hourly rate. Costs add together across every instance you run. Total cost tracks how many instances run and for how long, not a shared pool. The instance with the higher hourly rate drives most of the bill.
docs.deepfellow.ai
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
The DeepFellow Infra AMI starts a web interface over HTTP and injects the SSH key provided at launch into the Linux user account - 'deepfellow'.
On first launch, during the cloud-init step, an admin API key is generated and displayed in the instance console. You can also connect via SSH as the user 'deepfellow' and view the key using the following command: 'deepfellow infra info'. Then, open the DeepFellow Infra web interface using the public IP address provided by AWS and log in with the Admin API key.
For more details, see the DeepFellow documentation: https://docs.deepfellow.ai/docs/installation#deepfellow-infra
Quickstart guide: https://docs.deepfellow.ai/docs/aws
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Support
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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DeepFellow Server is the main orchestration layer in the DeepFellow framework, responsible for all user interactions, access management, and workflow coordination. Built on FastAPI, it provides an OpenAI-compatible API that makes migration seamless.
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