Scalable and Performant Kubernetes for AI & Machine Learning
Maximize computational power without the complexity. Fast, efficient, and built for demanding workloads.
Machine learning workloads require scalable infrastructure to handle intensive processing and data needs. With Syself, you get a powerful, production-ready Kubernetes environment that adapts to your workloads—at a fraction of the cost of other solutions.
- Cost reduction
- 80%
- Faster time to market
- 65%
- Reduction in outages
- 38%
- Faster request times
- 90%
Power Innovation, Not Infrastructure
Optimized Cost Control
Cut down on infrastructure costs without compromising on performance. By using affordable, high-performance providers like Hetzner, Syself gives you access to powerful compute resources at a fraction of the usual price, making AI projects more affordable.
High Performance
Each Kubernetes cluster is optimized out of the box for the heavy computational loads typical of AI and machine learning workloads. From data processing to model training, you get smooth, uninterrupted performance—so you can focus on innovation, not infrastructure.
Tailored for AI Workloads
Syself is built with AI and machine learning in mind, offering infrastructure that’s ready to handle intensive computational demands, with GPU support.
Scale Without the Overhead
AI projects often experience rapid scaling requirements, but with Syself, you don’t need a team of Kubernetes experts. Our platform scales with your business, so you can focus on your algorithms while we handle the infrastructure behind the scenes.
Scalable Power at a Fraction of the Cost
AI and machine learning projects can burn through cloud budgets fast, but Syself helps you keep costs in check. By tightly integrating with cost-efficient providers, you get all the computational power you need without paying the sky-high prices of traditional cloud solutions.
Unlock Unmatched Performance with Bare Metal and GPU Support
Syself treats bare metal servers as first-class citizens, delivering unmatched performance for AI and machine learning workloads. With direct access to hardware, you get lower latency and more control, making it ideal for resource-intensive tasks.
For AI projects requiring heavy computational power, Syself supports GPU-enabled bare metal servers, accelerating tasks like model training and inference. This combination of bare metal and GPU ensures your infrastructure is optimized for speed, performance, and scalability—no virtualization layer in between.
“Syself’s team was very helpful and competent. They helped us on short notice - within hours of our initial request - in a situation where we urgently needed a Kubernetes solution. The platform is easy to use and the onboarding really effective. We were able to get started quickly and without any issues.”
Stephan Breideneich
CEO, BREOS
Improve Your MLOps Practices With These Features
Machine Learning Ready
Get a scalable and flexible infrastructure for machine learning tasks.
Learn MorePre-configured Clusters
Use configuration files to define the desired state of your infrastructure and applications.
Learn MoreSLA and Support
Around-the-clock support to ensure your cluster is always running smoothly.
Learn MoreSelf-Healing
Automatically detect and fix issues in your infrastructure without human intervention.
Learn More