Dedicated GPU servers for AI, ML & HPC
Powerful NVIDIA GPU servers in German data centers, available standalone or as an add-on to your Managed Kubernetes cluster.
Why GPU servers from focusnet?
NVIDIA GPU hardware
Dedicated latest-generation NVIDIA GPUs for maximum compute performance in AI training and inference.
Kubernetes integration
Book GPU servers directly in the Kubernetes configurator as an add-on, seamlessly integrated into your container workloads.
Dedicated resources
No shared environment: your GPU pods can run on dedicated hardware with guaranteed performance.
CUDA & frameworks
Full support for CUDA, cuDNN, TensorRT, and common ML frameworks such as PyTorch and TensorFlow.
Flexible scaling
Scale from individual GPUs to multi-GPU setups as needed.
Use cases
AI / ML training
Train large language models and neural networks with dedicated GPU power in German data centers.
Rendering & visualization
GPU-accelerated rendering for 3D visualization, CAD, and media production.
High Performance Computing
Scientific computing, simulations, and data-intensive analysis with maximum parallelization.
AI inference
Low-latency inference for production AI applications directly in your Kubernetes environment.
GPU as a Kubernetes add-on
Book GPU nodes directly as an add-on to your Managed Kubernetes cluster.
- Automatic GPU scheduling
- Multi-GPU per pod possible
- Seamless with existing workloads
- Bookable in the K8s configurator
GPU power for your projects
Let us find the right GPU configuration for your use case together.