November 06, 2023
Syself automates of the entire lifecycle of clusters, freeing up your teams to work on what really matters.
With this integration, Syself Autopilot users can now leverage powerful NVIDIA GPUs on Hetzner’s dedicated servers while maintaining the full automation and self-healing capabilities of Kubernetes. This unlocks a high-performance, yet budget-friendly alternative to traditional hyperscalers, giving businesses the power they need at a fraction of the cost.
Hetzner has built a reputation as one of the most cost-effective hosting providers in the world, and its GPU-powered servers continue that tradition. With dedicated NVIDIA GPUs, organizations can now train AI models, run deep learning applications, and process large datasets without incurring the high costs of AWS, GCP, or Azure. This integration makes Hetzner a highly attractive choice for startups, research institutions, and enterprises looking to optimize both performance and cost.
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GPU acceleration is critical for modern workloads, but high cloud costs have kept it out of reach for many companies. With Syself Autopilot now supporting Hetzner’s bare metal GPU servers, we are making enterprise-grade AI infrastructure accessible and affordable—without compromising on performance or automation.
By integrating Hetzner’s GPU servers into Syself Autopilot, users get a fully managed, Kubernetes-native approach to GPU orchestration:
The combination of Kubernetes and GPU support is a game-changer for AI-driven companies. Almost all AI workloads today run on Kubernetes, making it the de facto standard for AI infrastructure. With Syself’s integration of GPU acceleration on Hetzner Bare Metal, businesses can now train models, process data, and run AI inference—all within a single Kubernetes cluster hosted in European data centers.
By consolidating compute, storage, and GPU workloads into a unified Kubernetes environment, companies can:
With Syself Autopilot, organizations can deploy fully optimized Kubernetes AI infrastructure that combines compute, GPU acceleration, and database management into a single automated platform.
The combination of Kubernetes and GPU support is a game-changer for AI-driven companies. Almost all AI workloads today run on Kubernetes, making it the de facto standard for AI infrastructure. With Syself’s integration of GPU acceleration on Hetzner Bare Metal, businesses can now train models, process data, and run AI inference—all within a single Kubernetes cluster.
By consolidating compute, storage, and GPU workloads into a unified Kubernetes environment, companies can:
With Syself Autopilot, organizations can deploy fully optimized Kubernetes AI infrastructure that combines compute, GPU acceleration, and database management into a single automated platform.
This integration is a major milestone for AI and high-performance computing on Kubernetes. Whether running AI inference, deep learning, or scientific simulations, organizations can now take advantage of affordable, high-performance GPU computing with Kubernetes automation.
Hetzner’s dedicated GPU servers, equipped with high-memory bandwidth and powerful NVIDIA GPUs, provide an optimal foundation for AI training, large-scale simulations, and scientific computing. These servers offer a cost-effective alternative for businesses looking to leverage GPU acceleration without the high costs of traditional cloud providers.
Organizations leveraging AI and machine learning must also adhere to stringent security, compliance, and data sovereignty requirements. With Syself Autopilot running on Hetzner’s ISO 27001-certified data centers, businesses can ensure their AI workloads meet GDPR, ISO, and other industry regulations while maintaining complete control over their infrastructure.
By choosing European-based infrastructure and Kubernetes automation, enterprises benefit from:
With Syself’s continued innovation, more cloud and bare metal providers will be supported in the future, further expanding the ecosystem of affordable AI infrastructure. Syself remains committed to helping businesses reduce complexity, optimize costs, and accelerate AI innovation with Kubernetes.
Syself Autopilot is now fully integrated with Hetzner GPU servers. Organizations looking to deploy GPU-powered Kubernetes clusters can get started today:
Syself is a cloud-native automation company specializing in Kubernetes lifecycle management, self-healing infrastructure, and AI workload optimization. With deep expertise in Cluster API, Kubernetes, and high-performance infrastructure, Syself delivers cost-efficient, fully automated Kubernetes solutions.
Syself has been a key contributor to Cluster API Provider for Hetzner (CAPH) and played a pivotal role in the Sovereign Cloud Stack (SCS) initiative, a project funded by the German Federal Ministry for Economic Affairs and Climate Action (BMWK). As part of this effort, Syself developed a Kubernetes-as-a-Service (KaaS) solution to enhance digital sovereignty in Europe, ensuring secure, compliant, and scalable cloud-native infrastructure.
Hetzner is a leading European hosting provider known for its high-performance and cost-effective infrastructure. With data centers in Germany, Finland, and the United States, Hetzner provides bare metal and cloud solutions that offer unbeatable price-to-performance ratios.
Their dedicated GPU servers are designed for AI, deep learning, and HPC applications, delivering top-tier performance at industry-leading affordability.
Syself automates of the entire lifecycle of clusters, freeing up your teams to work on what really matters.