End to end ML platform based on a state-of-the-art technology stack. Batteries included.
High-level API for Jupyter notebooks, training, and inference jobs for data scientist self-service. ML model deployment that fits your workflow: deploy all major ML frameworks, such as PyTorch, TensorFlow, JAX, or models from Hugging Face, with one line of code. Don't have your own models? Deploy our prebuilt models that have been optimized to run with sub-second latency.
Our catalog tracks 1300+ instance types, including their AI accelerator specs, enabling you to automagically select the right hardware for a task. Save up to 73% on your cloud bill and access the latest NVIDIA GPUs, Google TPUs, and AWS Trainium/Inferentia chips at the best prices on the market. You only pay when your instance is running, thanks to pay-by-the-minute billing. Free up your AI/ML team's time: Cloudfleet takes care of the heavy lifting in MLOps infrastructure and GPU management.
Isolated vanilla Kubernetes cluster with full access to ecosystem tools. Enterprise-grade features included. Cloudfleet Kubernetes Engine (CFKE) is CNCF conformant, ensuring interoperability with other CNCF-certified vendors, meaning you can migrate any conformant clusters and avoid vendor lock-in. Plus, it integrates with the Kubernetes software landscape, allowing you to fully customize your experience.
Fine-grained role-based access control (RBAC) with organization and project scopes, least-privilege permissions, and comprehensive audit trails for all user actions.
Enterprise Single Sign-On (SSO) via SAML and OIDC, integrating with Okta, Microsoft Entra ID, Google Workspace, and other compatible identity providers.
Governance, centralized audit logging, and compliance readiness aligned with SOC 2 and ISO 27001 standards (certifications in progress).
Built to support large-scale, mission-critical deployments with dedicated teams, proven processes, and clear operational commitments.
Expert-led architecture, deployment, and migration services to help you design, roll out, and scale Cloudfleet across complex environments.
A dedicated customer success team guiding onboarding, adoption, and long-term success, with access to best practices and operational guidance.
24/7 access to experienced engineers via defined support channels, with clear escalation paths for critical incidents.
Clearly defined Service Level Agreements (SLAs) covering availability, response times, and incident handling for mission-critical workloads.
Cloudfleet seamlessly extends your cluster anywhere, turning any hardware - even in your office or home - into a modern enterprise cluster.
Using Cloudfleet together with Hetzner allowed us to bring up a managed Kubernetes cluster just as quick as with any US-based hyper-scaler, but with the benefit of being EU hosted which is very valuable in today's times.
By combining our standardized configurations with the powerful automation features of the Cloudfleet platform, we've built a development workflow that is fast, secure, and incredibly efficient.
Perfect balance between flexibility and managed service - and the support is outstanding.
We deploy to customer infrastructure without changing how we build or manage Kubernetes.
It is easy to build a multi-cloud setup without getting locked into any single provider.
It is easy to build a multi-cloud setup without vendor lock-in.
Cloudfleet lets us scale our game servers across multiple providers - reliably and affordably.
Cloudfleet not only cut our infrastructure costs - it saved us hours of work by taking cluster management off our plate.
Run Kubernetes consistently across public cloud, private infrastructure, and on-prem environments, with a single control plane and unified operational model.
Operate, scale, and migrate Kubernetes clusters across environments using a consistent, opinionated platform that reduces operational overhead.
Transparent pricing and infrastructure control help you avoid hyperscaler lock-in, hidden fees, and unexpected cost growth as your workloads scale.
Retain full portability of your clusters, workloads, and tooling by running standard Kubernetes without proprietary extensions or forced dependencies.
Designed for production workloads, with operational tooling, escalation paths, and support processes built to meet enterprise reliability requirements.
Secure by default, with isolation, encryption, and access controls designed to meet the requirements of regulated and security-conscious organizations.
Create your free Cloudfleet Kubernetes cluster in minutes - no setup hassle, no cost. Get started instantly with the always-free Basic plan.