Full stack AI/ML infrastructure running in your AWS VPC on Kubernetes. Cake provides a secure, production-ready foundation for generative AI and machine learning projects.
Cake is a managed open-source AI platform that runs entirely inside your AWS VPC, enabling enterprises to build, deploy, and operate generative AI and machine learning workloads securely and at scale. Cake delivers a production-ready AI platform built on a curated set of popular open-source technologies. The platform is continuously expanded with new open-source applications, frameworks, and integrations, allowing customers to adopt emerging AI capabilities without rebuilding infrastructure or managing complex upgrades. Customers use Cake to run RAG pipelines, agent-based systems, fine-tuning workflows, batch and real-time inference, and end-to-end ML pipelines. Integrated components include Kubeflow, Ray, MLflow, Langflow, Langfuse, and an evolving ecosystem of open-source tooling for orchestration, observability, and cost control. All compute, data, and models remain within the AWS environment of the customer. Cake integrates with AWS services including EKS, EC2, S3, CloudWatch, Bedrock. The platform supports private networking, customer-managed encryption keys, and centralized governance with RBAC, audit logging, and usage observability. Cake aligns with AWS Well-Architected best practices and is designed to support enterprise security, compliance, and scalability requirements, including SOC 2 and HIPAA-aligned operational practices.
Highlights
Install production-ready versions of a curated set of popular open source AI/ML technologies.
All workloads run inside your VPC and are secure by default with private networking, IAM-based access control, audit logging, and no data egress.
Built-in observability and cost attribution across ML pipelines and LLM usage help teams manage spend, enforce policies, and scale AI predictably.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Annual subscription to the Cake managed open-source AI platform deployed in the AWS account of the customer. Includes platform access, continuous open-source integrations, governance features, and standard support. AWS infrastructure costs are not included.
This listing offers one pricing dimension: an annual subscription to the Cake Platform, billed by units under a contract. The platform deploys into your own AWS account, so you pay separately for AWS infrastructure. Your subscription covers platform access, ongoing open-source integrations, governance features, and standard support. Because it is a fixed annual contract, cost does not fluctuate with usage. You commit for a full year, and the quantity of units is set in your agreement. This is a single option, not a set of tiers or add-ons.
Top-of-mind questions for buyers
What does a single unit of the Cake Platform subscription represent?
A unit is your annual entitlement to the managed platform running inside your own AWS account. The unit count is set in your agreement. It covers platform access, ongoing open-source integrations, governance features, and standard support, rather than a per-user or per-server measure.
Does my subscription cover the AWS infrastructure costs to run the platform?
No. The platform deploys into your own AWS account, or VPC, and you pay AWS separately for compute, storage, and related resources. Your subscription covers only platform access, open-source integrations, governance features, and standard support. Cake runs alongside the infrastructure you already manage.
Will my cost change if my AI usage grows during the contract year?
No. This is a fixed annual contract billed by units set in your agreement. The subscription fee does not fluctuate with how much you use the platform. Your AWS infrastructure charges, billed separately by AWS, will still scale with your actual compute and storage consumption.
www.cake.ai+1
Helpful?
Vendor refund policy
Contact our support team for refund information.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Cake provides ongoing platform support to ensure reliable operation of the Cake platform deployed in customer AWS environments.
Support Channels:
Email: support@cake.ai
Shared customer Slack channel
Standard Support Coverage:
Business hours: 9:00 AM to 5:00 PM EST, Monday to Friday. Includes platform monitoring, incident triage, operational troubleshooting, and platform updates.
Production SLA Add-On (Optional):
Severity 1: 3 hours
Severity 2: 4 business hours
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.
Managed open-source AI platform deployed and operated inside your AWS account. Cake provides a secure, governed, and cost-efficient foundation for generative AI and machine learning workloads.
LSD Open delivers Red Hat OpenShift AI as a fully managed platform on AWS - giving your organisation an enterprise-ready, scalable foundation for building and deploying generative AI, ML, and data science workloads. This offering includes full platform deployment, Red Hat licensing, GPU and model orchestration, and ongoing management by certified experts. Run and scale open-source and foundation models securely, with full support for fine-tuning, RAG, pipelines, and hybrid data workflows. Whether you're serving private LLM endpoints or training custom models, OpenShift AI provides the flexibility of Kubernetes with the power of integrated AI tooling. LSD handles the infrastructure and operations -so your teams can focus on delivering results with AI.
Cornerstone Workforce AI is an AI-powered talent management suite that unifies learning, performance, and compliance to drive workforce agility. It modernizes learning, delivers relevant content anywhere, accelerates career mobility, and makes skills the universal growth language - while automating talent processes to provide timely learning and career opportunities at scale.
Flowise is an open source AI agent builder that lets developers, AI engineers, and no code builders visually design agents, chatflows, and LLM powered workflows through a drag and drop interface. This preconfigured AMI deploys a fully operational Flowise environment for building multi agent systems, retrieval augmented generation pipelines, and conversational assistants connected to 100+ LLMs, vector databases, and external tools, without manual installation or configuration.
Be the first to review this product. We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.